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Case Interview Fundamentals: Lesson 8 [Partner Estimation Drill: BMW Call Center] — Transcript

by CraftingCases · 14,243 words · 2,303 segments · language en · Watch on YouTube

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  1. 0:00Hey everyone, how's it going today?
  2. 0:02Before I show you the next video in this
  3. 0:04module, I need to give you some context
  4. 0:06because there's a lot to be learned from
  5. 0:08this video, but if you don't have the
  6. 0:09right context, it's going to be more
  7. 0:11confusing than instructive. So, let's
  8. 0:13get right to it. Number one,
  9. 0:15estimations can be a part of a case or
  10. 0:18they can alone be the full case. The
  11. 0:21ones you've seen so far in this module
  12. 0:23would most likely be a part of a case
  13. 0:26and would be followed or follow
  14. 0:28brainstorming, framework, hypothesis
  15. 0:30testing questions. But this one that
  16. 0:32you're going to watch right now is the
  17. 0:34full case by itself. So, don't get
  18. 0:36surprised when you notice that the video
  19. 0:38is much longer than the other videos.
  20. 0:40But you're also going to notice other
  21. 0:42particular features of this video.
  22. 0:45Number one, you're going to notice that
  23. 0:47I interview Bruno in this video instead
  24. 0:49of doing a drill by myself.
  25. 0:51Number two, you're going to notice that
  26. 0:53there's pressure from the interviewer,
  27. 0:55which in in the case is me.
  28. 0:57And number three, you're going to notice
  29. 0:59that both the case and the follow-up
  30. 1:01questions are a lot harder than in the
  31. 1:03other videos within this module.
  32. 1:05And why is it so different than the
  33. 1:07others?
  34. 1:08Well, the answer to this question is
  35. 1:10piece of context number two, which is
  36. 1:13this video doesn't originally belong
  37. 1:15here. This might be a bit confusing, so
  38. 1:18let me take a step back. Right now, what
  39. 1:20you're watching is our free course, Case
  40. 1:22Interview Fundamentals.
  41. 1:24And we also have other paid courses and
  42. 1:27one of them is called Master Market
  43. 1:29Sizing, which is an advanced estimations
  44. 1:31course.
  45. 1:32In Master Market Sizing, we teach you
  46. 1:34how to go from knowing absolutely
  47. 1:37nothing about market sizing and
  48. 1:39estimation questions to being able to
  49. 1:41solve even the toughest ones in
  50. 1:43industries you've never heard of and the
  51. 1:45most absurd estimation questions you can
  52. 1:47imagine.
  53. 1:48And Master Market Sizing has two theory
  54. 1:51modules where we teach you our blueprint
  55. 1:53to estimation cases and the techniques
  56. 1:55to become a master in the skill, and
  57. 1:57three practice modules, which are
  58. 2:00typical estimation drills,
  59. 2:01non-conventional estimation drills, and
  60. 2:04partner estimation drills. This video
  61. 2:07was taken straight from the partner
  62. 2:08estimations module, and it was actually
  63. 2:11a case that Bruno got in one of his Bain
  64. 2:13final round interviews.
  65. 2:15Now, why is it here?
  66. 2:17The reason we put this video in Case
  67. 2:20Interview Fundamentals is because we
  68. 2:21felt this course had a few shortcomings
  69. 2:23up until now.
  70. 2:25A few things you couldn't grasp from the
  71. 2:27estimations module in our free course,
  72. 2:29now you can. Number one, what does it
  73. 2:32look like to be pressured from the
  74. 2:33interviewer? Previously, you couldn't
  75. 2:35see that because you could only watch me
  76. 2:37doing a drill without the interviewer.
  77. 2:40Number two, what does a hard estimation
  78. 2:42case actually look like? Cuz all the
  79. 2:44other videos in this module are built to
  80. 2:46teach you the basic principles, so we
  81. 2:48couldn't really make any of them too
  82. 2:50hard. Number three, what does an
  83. 2:52estimation look like when it's the full
  84. 2:54case? And number four, how different can
  85. 2:58a partner estimation be? And honestly,
  86. 3:01this is the least different partner
  87. 3:03estimation in the course, but we didn't
  88. 3:05want to make things too complicated
  89. 3:07here, as I wouldn't even have the space
  90. 3:09to teach you everything that you need to
  91. 3:11know to understand the most complex
  92. 3:13estimation cases out there. The idea
  93. 3:15here is just to show you that partner
  94. 3:17cases can get very specific, and that
  95. 3:20you're expected to be able to solve
  96. 3:22any kind of estimation, estimate really
  97. 3:24anything, not just a few simple markets.
  98. 3:27Now, I don't want to keep you here
  99. 3:29forever. I know you want to move on,
  100. 3:31watch the video, so let's get right to
  101. 3:32it. Hey everyone, what's up? Julio here.
  102. 3:35So, uh in this partner drill, we're
  103. 3:38going to do a drill that Bruno got in
  104. 3:41his final round at Bain. It was actually
  105. 3:44a case back then, not a drill. Yeah, it
  106. 3:46was an entire case, and it's going to be
  107. 3:48an entire case as well. And
  108. 3:51uh
  109. 3:51it was with a particularly tough partner
  110. 3:54whose role I will be playing in this
  111. 3:56drill.
  112. 3:58And I want to remind you of something
  113. 4:00before we move on with this drill. And
  114. 4:02that is you should know by now that in
  115. 4:05partnered cases the follow-up questions
  116. 4:08are a particularly important part of the
  117. 4:12case where the partner's looking for
  118. 4:13specific things with each question and
  119. 4:16the answers you give are very important.
  120. 4:19So in every single time that I speak and
  121. 4:24ask something of Bruno or make a comment
  122. 4:28or anything like that, I want you to
  123. 4:29pause this video, think for a while and
  124. 4:32come up with the come up with the answer
  125. 4:33that you would give the partner, write
  126. 4:35it down, perhaps say it out loud, but
  127. 4:38put it out to the world so that you can
  128. 4:40actually compare what your real answer
  129. 4:42is with Bruno's and then improve it so
  130. 4:44that you can get better and get to the
  131. 4:46level that you're going to be able to
  132. 4:48solve every case with the partner.
  133. 4:51Right? All right, Bruno, ready? Yeah,
  134. 4:53I'm ready.
  135. 4:54Okay, let's go then.
  136. 4:56So the question here is the following.
  137. 4:59So BMW
  138. 5:01is thinking of bringing in-house
  139. 5:04their call center
  140. 5:06and they want your help estimating what
  141. 5:09will be their total cost for their world
  142. 5:11worldwide call center. Okay. So just a
  143. 5:16couple clarifying questions. So right
  144. 5:18now they have an outsourced call center
  145. 5:21if I understand. And they want to bring
  146. 5:23it in-house. Any particular reasons for
  147. 5:26that?
  148. 5:27Well, they're a premium brand and
  149. 5:30they're not particularly happy with the
  150. 5:33service level that the actually not
  151. 5:36necessarily service level, but they
  152. 5:38can't even really measure the service
  153. 5:39level that they're getting and they want
  154. 5:41to make sure that they're delivering the
  155. 5:42best
  156. 5:43service for their clients. Okay, that
  157. 5:45makes sense.
  158. 5:47Also you mentioned that they will have a
  159. 5:49worldwide call center, but I understand
  160. 5:52that they will need to have several
  161. 5:55facilities because of different
  162. 5:56languages.
  163. 5:58Is that right?
  164. 6:00Yes, they might need to have more than
  165. 6:02one. Okay, cuz
  166. 6:04it's hard to put people
  167. 6:06with all language backgrounds in just
  168. 6:08one place.
  169. 6:08>> Yeah, you can't get an entire building
  170. 6:10in Germany or India or somewhere with
  171. 6:12people speaking every single language in
  172. 6:14the world. Okay, that makes sense. And
  173. 6:16the final question that I have is what
  174. 6:18types of calls
  175. 6:21do they have in this call center?
  176. 6:23Because I think that's a pretty
  177. 6:25important part of the
  178. 6:27type of service that they'll need to
  179. 6:28provide. What do you think?
  180. 6:31Okay.
  181. 6:32So,
  182. 6:34let me quickly draw an issue tree here.
  183. 6:38Uh
  184. 6:40I understand that they might have calls
  185. 6:42for before the sale and for after the
  186. 6:46sale. And for both of these groups,
  187. 6:51I understand that they will have inbound
  188. 6:53calls, so clients or potential clients
  189. 6:57calling them, and then outbound calls,
  190. 7:00which are calls that they make to
  191. 7:03clients or potential clients, right? So,
  192. 7:05in the pre-sale inbound bucket,
  193. 7:10I imagine that they might have calls
  194. 7:12regarding scheduling test drives, uh
  195. 7:16questions that potential clients might
  196. 7:19have about their cars or their services
  197. 7:21when they're considering to buy a BMW.
  198. 7:25And I
  199. 7:26I don't know if this would go to the
  200. 7:28call center, but perhaps media or PR
  201. 7:32firms or
  202. 7:34newspapers and magazines calling them.
  203. 7:37They wouldn't buy a BMW, so it's
  204. 7:40technically not pre-sale, but it's
  205. 7:42It's not their customers. They're They
  206. 7:44might call to inquire them about uh
  207. 7:48some
  208. 7:49I don't know, some specific car accident
  209. 7:52that happened somewhere or a new product
  210. 7:55launch. Now, I don't know for all of
  211. 7:57these if the call center would be the
  212. 8:01people who'd be getting these calls
  213. 8:02because for media and PR, for example,
  214. 8:05uh I would imagine that uh that would go
  215. 8:08to corporate. And then for scheduling
  216. 8:11test drives, questions about cars and
  217. 8:13services, this might go to the local
  218. 8:15dealership. Mhm. Right? Now, but but it
  219. 8:19but it could be part of their demand.
  220. 8:21Okay? On the outbound bucket, so BMW
  221. 8:24calling potential customers,
  222. 8:27I imagine there is
  223. 8:29there might be sales calls
  224. 8:31uh like the ones you get from, you know,
  225. 8:34telecom companies or banks. Although, I
  226. 8:37don't know if this fits with BMW
  227. 8:39positioning. Yeah, you're right. Yeah, I
  228. 8:41I'd find it really weird to get a call
  229. 8:43from a sales rep at BMW asking me if if
  230. 8:47if I want to buy a car.
  231. 8:49Uh
  232. 8:50it There could be calls uh moving
  233. 8:54There could be calls for which the role
  234. 8:56is to move the client through the sales
  235. 8:59funnel. So, for example, uh let's say
  236. 9:02that a client had a test drive and they
  237. 9:08and they didn't come back. Mhm. Uh
  238. 9:12They might want to call this person and
  239. 9:14ask if they're still interested, if they
  240. 9:16want to drive the car again, if they
  241. 9:18want to try a different model, if there
  242. 9:20were any concerns. Okay, that's a
  243. 9:22dealership role, but okay.
  244. 9:23>> Yeah, I would imagine so.
  245. 9:26Uh
  246. 9:27Okay, so let's
  247. 9:28You can just ignore the pre-sale calls.
  248. 9:31Yeah, I was going to mention. Let's move
  249. 9:32on to the after-sale. It looks more
  250. 9:34interesting.
  251. 9:35>> Yeah. Uh
  252. 9:37it seems like everything pre-sale is not
  253. 9:39on the call center responsibility,
  254. 9:42right?
  255. 9:42>> Okay. So, on the after sale, again, we
  256. 9:44have inbound calls. Uh, so, customers
  257. 9:47calling BMW
  258. 9:49Mhm. after they buy the car, and
  259. 9:51outbound calls, BMW calling their
  260. 9:54customers. So, for inbound, I imagine
  261. 9:57there there might be maintenance
  262. 9:59scheduling.
  263. 10:01Uh, so, there's frequent maintenance,
  264. 10:04and I want to schedule.
  265. 10:07Maybe I moved towns, I don't know where
  266. 10:09the dealership is, or something like
  267. 10:11that. And then, also questions about the
  268. 10:14car and the services. So, for example,
  269. 10:17let's say I'm driving my car, and a
  270. 10:20weird light lights up on the panel, or
  271. 10:23it starts making a strange noise. Mhm.
  272. 10:26Uh, I'll check the manual, but then
  273. 10:28there's a number there for me to call if
  274. 10:31I still have any questions, or if I get
  275. 10:33involved in an accident. Uh, I might
  276. 10:35want to call my insurance company, but
  277. 10:37also,
  278. 10:38uh, the car company, so, to order parts,
  279. 10:41or to see
  280. 10:44where's the best mechanic for that type
  281. 10:46of car. Perfect. And then, for outbound
  282. 10:48calls, one
  283. 10:50that, uh, makes a lot of sense to me is
  284. 10:53recalls. Uh-huh. So, if BMW finds a
  285. 10:57faulty
  286. 10:59part, or an issue with a specific batch
  287. 11:02of a model that they they created, they
  288. 11:04need to call all of their customers
  289. 11:07Uh-huh. uh, to
  290. 11:11to schedule this recall.
  291. 11:13And then, also research with their
  292. 11:15customers. So, to see if their customers
  293. 11:18of a particular model are satisfied, or
  294. 11:21to see how their experience with the
  295. 11:23dealership was uh, after they they've
  296. 11:27done a test drive, or
  297. 11:29uh, entered the sales funnel. And I
  298. 11:31suppose that this one you can't leave to
  299. 11:33the dealership to
  300. 11:35to do otherwise they'll probably screw
  301. 11:37the the results, right?
  302. 11:39>> Yeah. So, these are my ideas of what
  303. 11:41types of calls they might have.
  304. 11:42>> All right, that makes sense.
  305. 11:44Uh for now, let's focus on the
  306. 11:46after-sales inbound calls. Those are 99%
  307. 11:50of the calls. Okay.
  308. 11:52Uh makes sense.
  309. 11:54Uh although I'd imagine that
  310. 11:57there could be recalls very often.
  311. 12:00Uh not very often, uh pardon. There
  312. 12:02could be a lot of recall calls,
  313. 12:05but very sporadically. So, we're not
  314. 12:08considering those right now.
  315. 12:09>> Yeah, it's true. We're not We're not
  316. 12:10considering those.
  317. 12:11>> Okay, so I'll focus on inbound, and am I
  318. 12:14right to say that this means maintenance
  319. 12:18uh issues or scheduling and questions
  320. 12:21about the car and the services? Yeah.
  321. 12:23Okay, so I'll focus on that. So, here's
  322. 12:27what I'm thinking.
  323. 12:29Uh one way to estimate the cost would be
  324. 12:31to list all of the cost lines of a call
  325. 12:35center. So,
  326. 12:36uh employees, uh equipment, technology,
  327. 12:40then there's the telephone bills, and
  328. 12:44and then you have rent and everything,
  329. 12:47and estimate all of that. However, I
  330. 12:51think
  331. 12:52that
  332. 12:55I think that
  333. 12:58there's a common factor underlying all
  334. 13:00of these costs, which is the demand for
  335. 13:02the services. Okay. So, the way I'm
  336. 13:04thinking of structuring this is to
  337. 13:09is to do the num- to estimate first the
  338. 13:11number of minutes called,
  339. 13:14uh and then multiply that by the dollar
  340. 13:17cost per minute. Does that make sense to
  341. 13:19you? And then all of the costs that I
  342. 13:21mentioned would go within the dollar
  343. 13:23cost per minute. All right, I think it
  344. 13:25makes sense. Let's see how it goes. So,
  345. 13:27I'll I'll use that as the first layer of
  346. 13:29my structure. Number of minutes called
  347. 13:31times the dollar cost per minute.
  348. 13:33>> Okay. And the way I'm thinking of
  349. 13:36structuring number of minutes called is
  350. 13:40to find out how many BMW cars
  351. 13:43and should can I focus just on cars and
  352. 13:46just consider motorcycles
  353. 13:49and other types of vehicles.
  354. 13:51>> Yeah, do that. Okay. So, the number of
  355. 13:53BMW cars in circulation globally.
  356. 13:57So, not how many they sell per year, but
  357. 13:59how many are
  358. 14:00uh on the streets right now because they
  359. 14:03might call in the first year, they might
  360. 14:05call Yeah, perfect.
  361. 14:06>> in the fifth year that they own the car.
  362. 14:08And then multiply that by the number of
  363. 14:10minutes per car per year.
  364. 14:13Okay. Uh so, starting with how many BMWs
  365. 14:17are there in circulation globally.
  366. 14:19I would estimate the number of cars of
  367. 14:22any brand in circulation uh in the
  368. 14:25world. And then multiply that by the
  369. 14:28percentage of those that are BMWs. Okay.
  370. 14:31Okay. Mhm. So, number of cars in
  371. 14:33circulation is pretty simple. It's
  372. 14:37kind of easy to find. Uh all we need to
  373. 14:39do is to find the number of households
  374. 14:41in the world that have cars. All right.
  375. 14:44And then multiply that by the number of
  376. 14:46cars per household. Okay. And to find
  377. 14:49the number of households with cars
  378. 14:51uh I can estimate the number of
  379. 14:53households and then estimate the
  380. 14:55percentage of those that have cars.
  381. 14:58All right.
  382. 14:58>> And the main reason for a household not
  383. 15:00to have car a car is a lack of income,
  384. 15:03of course. Okay. And then to estimate
  385. 15:05the number of households, all we need is
  386. 15:06the global population and then divide
  387. 15:09that by the average household size. So,
  388. 15:12say the world has 7 billion people and
  389. 15:14there's like 3.5 people per household,
  390. 15:17that's 2 billion households just to give
  391. 15:19you an example.
  392. 15:20>> Mhm. Now, to estimate the percentage of
  393. 15:22cars that are BMW,
  394. 15:24do we have a value for that? Cuz this
  395. 15:26one is a little tricky.
  396. 15:28Uh no, we don't.
  397. 15:30Okay. Let's assume we don't, I guess. I
  398. 15:32guess BMW would have probably Since
  399. 15:34we're in this room,
  400. 15:36uh we we don't have access to that. So,
  401. 15:38the way I would do that is to estimate
  402. 15:40the percentage of cars that are premium
  403. 15:43cars, luxury brands, Mhm.
  404. 15:46uh and multiply that by the percentage
  405. 15:48of luxury cars that are BMW.
  406. 15:51All right.
  407. 15:52Might not be super precise,
  408. 15:55but I guess we're going to get closer
  409. 15:58than just guessing a random number for a
  410. 16:01BMW's, right? No, that makes sense.
  411. 16:03Okay. And then for the number of minutes
  412. 16:07per car per year of inbound calls to the
  413. 16:10call center, Mhm. I would estimate the
  414. 16:13number of calls that an average car or
  415. 16:16an average car owner
  416. 16:18uh calls BMW per year, Yeah. and then
  417. 16:21multiply that by the number of minutes
  418. 16:23per call. Okay. Okay.
  419. 16:25So, that will give us the number of
  420. 16:27minutes called or the total demand for
  421. 16:31uh calls in this call center. And then
  422. 16:33we need to multiply that by the dollar
  423. 16:36cost
  424. 16:37per minute.
  425. 16:38And the way I see it, uh the cost per
  426. 16:42minute of calls has two major
  427. 16:44components, okay? Mhm. The The first one
  428. 16:47is the total cost per employee minute or
  429. 16:51per minute of an employee. All right.
  430. 16:53And by total cost, I mean uh base the
  431. 16:57direct costs of the employee, so their
  432. 17:00wages, their benefits, etc.
  433. 17:03And also the indirect cost, so
  434. 17:05everything that they need to do the
  435. 17:06work. Okay. Rent of the facility, the
  436. 17:09technology, the
  437. 17:12the supervisors.
  438. 17:15All right.
  439. 17:16So, that's indirect.
  440. 17:18So, that's total cost per minute of an
  441. 17:20employee. And then the other component
  442. 17:22of the dollar cost per minute of a call
  443. 17:24is the phone network costs. So, how much
  444. 17:29we pay for the phone networks or the
  445. 17:31internet networks in case these calls
  446. 17:33are
  447. 17:34made via IP
  448. 17:36for a minute of a call. Okay? Okay. So,
  449. 17:39for the first bucket, total cost per
  450. 17:41employee minute, the way I would
  451. 17:44calculate it is to calculate cost yearly
  452. 17:48per employee.
  453. 17:50So, again, the direct and indirect
  454. 17:52portions of the cost. So, how much does
  455. 17:55a full-time employee cost per year? And
  456. 17:57then divide that by how many minutes
  457. 18:01will one of these people be in calls
  458. 18:04with customers?
  459. 18:06Which is
  460. 18:09which is not exactly how many minutes
  461. 18:11they work because a portion of those
  462. 18:13minutes they're going to be doing other
  463. 18:15tasks. Okay? Okay. All right. And then
  464. 18:18the phone network costs, I would break
  465. 18:21it down into how much we're charged per
  466. 18:24minute of a call,
  467. 18:26but then add an addition for the waiting
  468. 18:29time in line because I imagine that
  469. 18:31these customers are calling a a
  470. 18:34toll-free number, Yeah. which means that
  471. 18:36we're paying for the calls. Mhm. And
  472. 18:40so, let's say that they do a 2-minute
  473. 18:42call, Yeah.
  474. 18:43>> but they're waiting second for 30
  475. 18:45seconds. In our estimation of demands,
  476. 18:48that's going to appear as 2 minutes.
  477. 18:50Yeah. But then we we also have to pay
  478. 18:53for those 30 seconds while they're
  479. 18:56waiting for a representative to take
  480. 18:59their call. And hopefully, they're not
  481. 19:01waiting that long because again, we're a
  482. 19:03luxury brand, but
  483. 19:07but we need to take that into account.
  484. 19:09Does this make sense to you? Does this
  485. 19:11sound like a good plan? Yeah, sounds
  486. 19:13like a plan. Let's you we can some
  487. 19:14numbers in it though. Okay. Okay, so
  488. 19:16I'll start taking assumptions and and
  489. 19:18doing the calculations to figure out how
  490. 19:20much will this call center cost then.
  491. 19:22Perfect. So, because we have a huge
  492. 19:26estimation tree here, I think I'm going
  493. 19:28to start estimating the demand
  494. 19:31and then go into the cost per minute
  495. 19:34just so it's not overwhelming. Is that
  496. 19:36okay with you? Yeah, sure. Okay. So,
  497. 19:38starting the number of minutes called,
  498. 19:40the first assumption that we need to do
  499. 19:42is the population
  500. 19:45uh which I'm going to assume 8 billion
  501. 19:47people. Uh I know it was 7 billion like
  502. 19:515 years ago, so I'm guessing it's
  503. 19:53approaching eight. Okay. And uh then the
  504. 19:57average household size. This one is
  505. 20:00interesting
  506. 20:01uh because we're talking about BMWs and
  507. 20:05I assume this is bought this product the
  508. 20:08cars their cars are bought by wealthier
  509. 20:11families that tend to be in rich
  510. 20:14countries although there are a ton of
  511. 20:16wealthy families in poorer countries as
  512. 20:18well.
  513. 20:19Uh and the household size in these
  514. 20:22families is smaller. Mhm. Uh but it I
  515. 20:26will still try to use the global average
  516. 20:28because
  517. 20:29then we can just adjust for that in the
  518. 20:31percentage
  519. 20:32of how of cars that are BMWs. All right.
  520. 20:36All right. Mhm. Uh so I'm going to use
  521. 20:38uh four people per household here. Mhm.
  522. 20:41Uh I think it's closer to like 2.5 or
  523. 20:44three in wealthier countries and closer
  524. 20:46to five in lower income countries. All
  525. 20:49right, makes sense.
  526. 20:50>> So, four I think makes sense.
  527. 20:52Uh then the percentage of those
  528. 20:55households that own a car.
  529. 20:58What I'm thinking here is there are kind
  530. 21:00of two groups of people that don't own
  531. 21:03cars. Mhm. Besides those people that
  532. 21:05don't like cars which I think globally
  533. 21:09it's a minority. Yeah. Uh I think there
  534. 21:11are people who are very close to the
  535. 21:13poverty line, so either they're under
  536. 21:15the poverty line or they've just crossed
  537. 21:18it, and these people definitely can't
  538. 21:20afford a car. Yeah. And I would guess
  539. 21:22that's like 50% of the world's
  540. 21:24population. Makes sense. Considering,
  541. 21:27you know, a lot of people live in India,
  542. 21:30Bangladesh,
  543. 21:32uh the countryside of China, then
  544. 21:34there's Africa, Yeah. then all the
  545. 21:36poorer people in in developing
  546. 21:38countries. I guess 50%.
  547. 21:40>> All right. And then there's uh
  548. 21:42mid-to-low income
  549. 21:45uh families
  550. 21:47that either they can't afford
  551. 21:50uh
  552. 21:51or even though they have a nice life,
  553. 21:53they still can't afford a car, Mhm. or
  554. 21:56they choose to use public transportation
  555. 21:59because they need to
  556. 22:02uh
  557. 22:02really budget and
  558. 22:05adjust their budget to have a car and
  559. 22:07cut expenses on foods and living
  560. 22:09conditions and things like that. Okay.
  561. 22:11So, they just choose to use public
  562. 22:12transportation, and I'm assuming that's
  563. 22:14like 20% of the world's population. All
  564. 22:17right. So, you're left with 30%.
  565. 22:19>> Okay. of the people in the world who own
  566. 22:22a car. Okay. Okay. Then of those people,
  567. 22:25how many cars do they have?
  568. 22:27A lot of those people have one car,
  569. 22:30but now we're talking about wealthier
  570. 22:32people, so a lot of them will have two,
  571. 22:34three, even four cars. Mhm. So, I was
  572. 22:37thinking of just a assuming 1.5 cars per
  573. 22:41household. All right. Okay? Yeah, that
  574. 22:43makes sense. So, with that, we can
  575. 22:45calculate the number of cars in
  576. 22:46circulation. All right. I'll just do the
  577. 22:48calculations. So, 8 billion people
  578. 22:50divided by four people per household,
  579. 22:52that's 2 billion households,
  580. 22:54>> Mhm.
  581. 22:55uh
  582. 22:56of which 30% own a car, at least one
  583. 22:59car.
  584. 23:00Yeah.
  585. 23:00>> So, 10% of 2 billion is 200 million * 3
  586. 23:03that's 600 million households with at
  587. 23:06least one car. Okay. Times 1.5 cars per
  588. 23:09household gives us 900 million cars in
  589. 23:12in circulation globally. All right.
  590. 23:15Okay? Now, we need to find out how many
  591. 23:17of those are BMWs.
  592. 23:20And for that, I have the percent that
  593. 23:22are luxury cars and then the percentage
  594. 23:24of luxury cars that are BMWs. And as I
  595. 23:27said, this is tricky
  596. 23:30uh because it's hard to assume values
  597. 23:32for this. It's hard to have a basis,
  598. 23:34yeah? But what I was thinking is
  599. 23:37uh for the luxury cars, you know,
  600. 23:39there's that whole 1% thing of the
  601. 23:42population that they're wealthy and they
  602. 23:44can afford luxury brands and
  603. 23:46>> Yeah.
  604. 23:47and I was thinking that this can be a
  605. 23:49basis. So,
  606. 23:50uh if you look at other markets, for
  607. 23:52example, uh purses. Mhm. Most purses
  608. 23:56aren't luxury purses or
  609. 23:58uh watches. Most watches Well, people
  610. 24:01who actually use watches nowadays might
  611. 24:04be
  612. 24:05this could be a luxury uh watch because
  613. 24:08other people are using their smartphones
  614. 24:10instead. Yeah. But what I mean here is
  615. 24:12in most markets, fashion,
  616. 24:15uh purses, and
  617. 24:18uh
  618. 24:18I don't know.
  619. 24:20Uh
  620. 24:20home decoration. Yeah. Most people, the
  621. 24:23vast majority, don't own luxury brands.
  622. 24:25And the same is true for cars. Perfect.
  623. 24:27So, I would expect the percentage of
  624. 24:30cars that are luxury cars to be lower
  625. 24:31than 10%.
  626. 24:33>> Mhm.
  627. 24:34But also higher than 1% for two reasons.
  628. 24:37One is there's the 1% of the population
  629. 24:40that, you know, they they there's this
  630. 24:42whole 1% movement. Mhm. Uh which is no
  631. 24:45basis for anything, but since we have to
  632. 24:47assume a value, I'll use that as a
  633. 24:50parameter.
  634. 24:51But also these people with much more
  635. 24:53money, they can afford to have more cars
  636. 24:56than 1.5 per household. All right. Yeah,
  637. 24:58that makes sense. So, I'm I was thinking
  638. 25:00of assuming
  639. 25:023% of cars are luxury cars. Okay, that
  640. 25:05makes sense. Can we go with that? Yeah.
  641. 25:07Okay. And then there's the BMW market
  642. 25:10share within luxury cars.
  643. 25:12Which is tricky as well. And what I was
  644. 25:14thinking here is
  645. 25:17to ask you if we have the market share
  646. 25:19of BMW because uh
  647. 25:22if we have the annual sales uh in
  648. 25:25percentage of luxury cars, I I will
  649. 25:27assume that that didn't change that much
  650. 25:30in the past 10 years.
  651. 25:32So, we could equip make the market share
  652. 25:35equivalent to the percentage in
  653. 25:36circulation. All right, that makes
  654. 25:38sense. But, I do not know the BMW market
  655. 25:41share. Okay. Okay,
  656. 25:44let's try to figure this out then.
  657. 25:46Uh so, the way I will think about it is
  658. 25:51that
  659. 25:54So, there are two types of luxury cars.
  660. 25:56There's like affordable luxury
  661. 25:59like BMW. You don't have to be like a
  662. 26:02mega millionaire to own a BMW. And
  663. 26:05there's like
  664. 26:06very high-end luxury cars like Bugatti
  665. 26:09or, you know, Rolls-Royce. Yeah. Uh
  666. 26:13Lamborghinis. Yeah, Ferraris. Ferraris,
  667. 26:15yeah. And
  668. 26:17I will assume that
  669. 26:19the vast majority of luxury cars are
  670. 26:22affordable in that sense. Mhm. And then
  671. 26:25I can think of a ton of brands like BMW,
  672. 26:27Mercedes, Audis. Then there's Volvos,
  673. 26:30Land Rovers, Jaguar,
  674. 26:33Aston Martin. I don't know how
  675. 26:35affordable that is.
  676. 26:36>> the point.
  677. 26:37So, there's like 20 or 30 brands. So, if
  678. 26:40you split that evenly,
  679. 26:42you'd have like an average of 3 to 5%
  680. 26:45market share. Uh-huh. Uh per brand. And
  681. 26:48I think BMW is a more famous
  682. 26:52uh brand among these brands.
  683. 26:54>> Yeah. So, let's say that they have 10%
  684. 26:57of the luxury cars.
  685. 26:59>> All right, I think that makes sense.
  686. 27:00Okay, so let's use 10% then. So, that
  687. 27:03would mean that the percentage of cars
  688. 27:05that are BMW is 0.3%.
  689. 27:09Okay, cuz it's 3% luxury times 10%
  690. 27:13uh, luxury that are BMW. Exactly. So, of
  691. 27:16all cars in the circulation in the world
  692. 27:19900 million Mhm. 0.3%
  693. 27:22are BMWs, which kind of makes sense.
  694. 27:24It's like one in 300 cars. Yeah.
  695. 27:27Uh, if you looked in in the developed
  696. 27:29world, you'd say it's closer to one in
  697. 27:3250 perhaps, but then there's all the
  698. 27:34rest of the world Yeah. where you barely
  699. 27:36see one. Yeah. Uh,
  700. 27:38which would gives us a number of BMWs in
  701. 27:42circulation of 900 million times 0.3%.
  702. 27:47Mhm. So, 1% of 900 million is 9 million?
  703. 27:50Yeah. So, 0.1%
  704. 27:53is 0.9 million. Yeah. Times three,
  705. 27:56that's 2.7 million BMWs
  706. 28:00uh, in circulation globally.
  707. 28:01>> Okay. Okay, that's all right.
  708. 28:03Now, uh, with that to estimate the
  709. 28:06demand for the call center in minutes
  710. 28:07called, we need to estimate the number
  711. 28:09of minutes per car per year. Okay.
  712. 28:12So, we have number of calls per car per
  713. 28:14year
  714. 28:15and we have number of minutes per call.
  715. 28:17For the number of calls uh,
  716. 28:20I'm thinking my personal
  717. 28:24uh, usage Yeah. uh,
  718. 28:26I don't have a BMW, but uh, I barely
  719. 28:29call my car company. Yeah. I think I've
  720. 28:32called them like
  721. 28:34twice in
  722. 28:3510 years. Okay. Okay?
  723. 28:38But, uh,
  724. 28:40also I'm
  725. 28:42pretty young, uh, so we millennials
  726. 28:46don't call people that often. I imagine
  727. 28:50I don't drive a lot. I do Oh, okay. So
  728. 28:52that that probably changes
  729. 28:54your experience versus the average a
  730. 28:56bit. Yeah, and then I'm also thinking
  731. 28:59that the average BMW owner is older than
  732. 29:01me.
  733. 29:02And older people like to solve problems
  734. 29:04by calling companies. I do all that all
  735. 29:07on the internet. Okay. So I'm thinking
  736. 29:09maybe half a call per year.
  737. 29:12Okay. Because
  738. 29:14So one call every two years because
  739. 29:16BMW's they don't break
  740. 29:18down a lot.
  741. 29:21It's not like you don't have to do
  742. 29:24maintenance very often.
  743. 29:28So
  744. 29:29yeah, one is one call every two years
  745. 29:32all right for you? That sounds
  746. 29:33reasonable. Okay. So let's go with one
  747. 29:36call every two years and then there's
  748. 29:37the number of minutes per call. And
  749. 29:40the way I think about it is
  750. 29:43there are two types of calls. There are
  751. 29:44very quick calls like hey, I have a
  752. 29:47question.
  753. 29:49This light in my panel should I worry
  754. 29:51about it?
  755. 29:53And then they'll just give me an answer.
  756. 29:55So it's like
  757. 29:57four to five minutes. Okay. And there
  758. 29:59are very long calls
  759. 30:01when you have a real issue.
  760. 30:04Like where they have to troubleshoot and
  761. 30:07ask you to do things with the car and
  762. 30:10wait for your reaction
  763. 30:12to see what happens and then perhaps
  764. 30:14transfer you to call to another person.
  765. 30:16And there are very few calls in the
  766. 30:18middle. Like
  767. 30:19they're either very quick or very long.
  768. 30:22>> Yeah. Make sense? Yeah, it does. Can I
  769. 30:24assume that there's a 50/50 split among
  770. 30:28these two types of calls?
  771. 30:30Yeah, that sounds about right. Okay.
  772. 30:33So if we assume that the very quick
  773. 30:35calls are like four minutes long
  774. 30:40and the very long calls are like 30
  775. 30:42minutes long. Mhm. We would have an
  776. 30:45average of minutes per call of 17
  777. 30:47minutes.
  778. 30:49Because it's 50% of 4 minutes is 2
  779. 30:52minutes.
  780. 30:53And then 50% of 30 minutes is 15
  781. 30:55minutes. And then we add those two up,
  782. 30:57we have 17 minutes per call. Okay, so
  783. 30:59that's the weighted average. All right.
  784. 31:01Yeah, it's the weighted average, which
  785. 31:02is the same as a simple average because
  786. 31:05it's 50/50.
  787. 31:06>> Perfect.
  788. 31:06>> Okay? So,
  789. 31:08uh with that we have half a call per car
  790. 31:11per year, so that will give us 8.5
  791. 31:14minutes per car per year. So, 17
  792. 31:17uh times half or divided by two. Okay.
  793. 31:21Okay?
  794. 31:22Uh
  795. 31:23which kind of makes sense, 8 minutes per
  796. 31:25car.
  797. 31:26Yeah. Uh in demand. Yeah, if you own a
  798. 31:29car, then uh
  799. 31:31you'll spend 8 minutes in your year on
  800. 31:33the phone with the car company. That
  801. 31:34sounds okay. Yeah, it sounds all right,
  802. 31:36right? So, uh to estimate the demand of
  803. 31:40minutes per for this call center, we
  804. 31:42have 2.7 million BMWs calling an average
  805. 31:46of 8.5 minutes per year. Yeah.
  806. 31:49So, that would be about 3 million cars
  807. 31:53for 10 minutes, so 30 million minutes.
  808. 31:56Can I use this number? I I rounded both
  809. 32:00uh numbers up by a little bit.
  810. 32:03Uh
  811. 32:04Uh no, I'd rather you use the precise
  812. 32:06number. Just do the do the calculations.
  813. 32:08Okay, so that sounds fair. So, I can
  814. 32:11multiply 2.7 million times 8.5
  815. 32:15or I can adjust that 30 million figure
  816. 32:18because 8.5 is 15% less than 10 minutes,
  817. 32:22which is what I used.
  818. 32:23>> Okay. And uh 2.7 million is 10% less
  819. 32:27than 3 million, which is what I used.
  820. 32:29So, if I
  821. 32:31uh
  822. 32:31if I reduce 30 million by 15%
  823. 32:35and then the result of that by 10% I'll
  824. 32:37get exactly
  825. 32:39uh the number of minutes. So, I'll do
  826. 32:40the calculation this way, all right?
  827. 32:42>> All right. So, 30 million minus 15%
  828. 32:45is
  829. 32:47uh 15% of 30 million is 4.5 million.
  830. 32:51Mhm. So, 30 minus 4.5 is 25.5 million.
  831. 32:56Okay. Okay? And now we need to
  832. 32:59uh take 10% of 25.5 away.
  833. 33:03So, 10% of 25.5
  834. 33:06is 2.55 million. Okay, yeah. Okay? So,
  835. 33:10uh 25.5 minus 2.55
  836. 33:14equals
  837. 33:16uh
  838. 33:17If you were 2.5, then we'd have 23.
  839. 33:20Yeah.
  840. 33:21>> And then we have to take 50K away from
  841. 33:24it, so it's 22.95
  842. 33:27million minutes. Okay, just use the 23.
  843. 33:30Okay, so we have a demand for call
  844. 33:32center of 23 million
  845. 33:34minutes. Now, to calculate the call
  846. 33:37center cost, we just need to figure out
  847. 33:38the cost per minute. Mhm. So, if you
  848. 33:41were like a dollar per minute, it would
  849. 33:43be 23 million dollars in call center
  850. 33:45costs.
  851. 33:47But I I have no idea if it's a dollar or
  852. 33:48not. Let's figure that out now.
  853. 33:50>> So, as I said, the dollar cost per
  854. 33:52minute of a call will be the total cost
  855. 33:56per minute of an employee, including
  856. 33:59direct and indirect costs.
  857. 34:02And it will be the cost of the phone
  858. 34:05network per minute. Okay.
  859. 34:07>> So, I'll start with the total cost per
  860. 34:10employee minute.
  861. 34:12To calculate that, as I've mentioned
  862. 34:13before, I'm going to find the yearly
  863. 34:15cost per full-time employee. Mhm. Uh and
  864. 34:19then divide that by the number of
  865. 34:20minutes that they're on calls per year.
  866. 34:23All right. Right? So, I'll start with
  867. 34:26the total cost per employee per year.
  868. 34:30Uh so, we have direct and indirect
  869. 34:32costs.
  870. 34:33Uh, direct costs being wages, benefits,
  871. 34:38things that end up going to the
  872. 34:39employee.
  873. 34:41And then indirect costs are rent,
  874. 34:43equipment, uh, supervisors, single
  875. 34:45things like that.
  876. 34:47I was thinking of using a an assumption
  877. 34:49of $10 per hour
  878. 34:52uh, for employees on the direct costs
  879. 34:55and then another $10 per hour on
  880. 34:58indirect costs just to uh,
  881. 35:01to put them all all the indirect costs
  882. 35:03in a bundle and
  883. 35:05and call it like like like that. Now,
  884. 35:07the reason for $10 per hour
  885. 35:10for the direct costs is that uh, that's
  886. 35:13a little bit above minimum wage in most
  887. 35:16of Europe and in the US.
  888. 35:18And
  889. 35:20I imagine that BMW would pay like 12 or
  890. 35:24$13 per hour in those countries, but
  891. 35:27then you have lower cost countries which
  892. 35:30in which labor is much much cheaper,
  893. 35:33but you don't want to go too cheap
  894. 35:36because you want high quality employees
  895. 35:38to to talk to our luxury customers.
  896. 35:42Okay. I'm I don't know if that makes
  897. 35:44sense. I'm not saying it doesn't, I just
  898. 35:46don't know. I think we're going to need
  899. 35:47to get a lot more specific than that.
  900. 35:49What do you mean by that? Like
  901. 35:52Break it down further. What are the
  902. 35:53components of each one of those? Um,
  903. 35:56okay.
  904. 35:57Okay, so
  905. 35:59uh, so let's break it down. For the
  906. 36:00direct costs, there are wages,
  907. 36:04Okay. uh, there are benefits. So,
  908. 36:07health insurance, life life insurance,
  909. 36:10uh, in some countries you pay for their
  910. 36:13lunch, cafeteria,
  911. 36:16transportation benefits, things like
  912. 36:18that.
  913. 36:19>> All right. Uh, and then there are taxes.
  914. 36:23So,
  915. 36:24>> Okay. So, again, this varies by country
  916. 36:27and my guess is that in some countries
  917. 36:29you'd have
  918. 36:31no taxes from the company's part and
  919. 36:35just employee paying taxes. In other
  920. 36:38countries you have that
  921. 36:40but we need to consider that because we
  922. 36:42will have a global pool of call center
  923. 36:45operators, right?
  924. 36:46>> Okay.
  925. 36:47And then on the indirect costs, which I
  926. 36:50I had the intention to assume $10 per
  927. 36:52hour per employee, too. I guess the main
  928. 36:54costs are related to the work tools and
  929. 36:57environment Mhm. which is the rent
  930. 37:00of the facility or the office where
  931. 37:03they'll stay. And then you have tools
  932. 37:05like computers and so on and software
  933. 37:08which I've I've read once about call
  934. 37:12center software that they charge per
  935. 37:14position, so per employee in a sense
  936. 37:16Mhm. and that it's pretty expensive
  937. 37:19because it improves efficiency in the
  938. 37:21call center and so on.
  939. 37:22Then we have management.
  940. 37:24So, the supervisor of the call center
  941. 37:26operators because we're considering the
  942. 37:29cost per uh
  943. 37:32per employee that calls to the customer.
  944. 37:34Okay. But then we need a management
  945. 37:37structure on top of that and I want to
  946. 37:40include those those costs into the hour
  947. 37:43of the employee who calls the customer.
  948. 37:46All right. And then we have HR related
  949. 37:48costs such as hiring, firing, and
  950. 37:51training of these employees of these
  951. 37:54call center operators. So, that's how I
  952. 37:56would break down direct and indirect
  953. 37:59costs. All right, now it makes sense.
  954. 38:01Okay. Go on, you can place your numbers
  955. 38:02in it. Okay, so I need to assume numbers
  956. 38:04to each of these.
  957. 38:05>> Yeah. Okay, great. So, I'll start with
  958. 38:09wages. Mhm. Uh
  959. 38:12can I assume a 8-hour per day shift?
  960. 38:16Yeah, sure. I imagine that in some
  961. 38:18places you'd need more time than that,
  962. 38:20but just to make
  963. 38:21>> Yeah, you can assume 8 hours per day.
  964. 38:22Okay, so I'll assume eight an 8-hour per
  965. 38:24day shift and I'll assume that the
  966. 38:27employee works 250 days per year.
  967. 38:30Usually, it's 252
  968. 38:33that people consider considering Monday
  969. 38:35through Friday. Okay. Okay.
  970. 38:38So, I'll use 250
  971. 38:40just 1% difference or less than 1%
  972. 38:43difference. Right, that's okay. Uh and I
  973. 38:45would assume $10 per hour again.
  974. 38:48All right. Okay? Yeah, that makes Okay,
  975. 38:50so 8 hours per day times 250 days per
  976. 38:53year is 2,000 hours per year
  977. 38:56times $10 per hour would be $20,000
  978. 39:00in wages per year. Perfect.
  979. 39:03>> Okay? Then we have benefits
  980. 39:05and my guess would The way I would do it
  981. 39:08is to assume a percentage of of the
  982. 39:10salary. Uh
  983. 39:12so, something like 10% of the wages.
  984. 39:15Mhm. Uh if it makes sense to you. Yeah,
  985. 39:17that does make sense. That would be
  986. 39:18$2,000 per year. And then we have the
  987. 39:21taxes, which I really, honestly, don't
  988. 39:24know what to assume, but I'd guess most
  989. 39:27states would charge a tax for this kind
  990. 39:30of employment, something in the lines of
  991. 39:3210 to 20% of their wage. Yeah, you can
  992. 39:36use 20% as a global global average.
  993. 39:38Okay, so that's $4,000 per
  994. 39:42per year. So, summing 20 in wages plus
  995. 39:45two in benefits plus four, that would
  996. 39:47give us $26,000
  997. 39:50of cost
  998. 39:51uh directly to have an employee, a
  999. 39:54full-time employee working in this call
  1000. 39:56center. And then we have the indirect
  1001. 39:58costs. Okay. Okay. So,
  1002. 40:02we have work environment, so we have
  1003. 40:04rent, software, and tools. Mhm. Do we Do
  1004. 40:06we have any assumptions for those? I
  1005. 40:08mean, I could
  1006. 40:10estimate rent from a generic renting
  1007. 40:13area in terms of square meters and then
  1008. 40:15multiply that by how many square meters
  1009. 40:17are needed for a person to work in this
  1010. 40:20kind of work, but
  1011. 40:26I I don't really know the the average
  1012. 40:28rent for this. I do have some numbers.
  1013. 40:30So,
  1014. 40:31uh for rent
  1015. 40:33uh let's say
  1016. 40:34it would cost
  1017. 40:36$50 per square meter per year. Okay. For
  1018. 40:40renting uh these facilities worldwide.
  1019. 40:42Okay, on average. Mhm. Okay. So, I would
  1020. 40:45assume something like three or four
  1021. 40:47square meters per person. The
  1022. 40:49call centers are pretty cramped.
  1023. 40:52So,
  1024. 40:52>> How did you get to that?
  1025. 40:54The specific uh space that a person
  1026. 40:56works
  1027. 40:57would have like a meter by a meter. As I
  1028. 40:59said, call centers tend to be cramped.
  1029. 41:01Yeah. But then you need another square
  1030. 41:03meter uh as
  1031. 41:05uh hallways, like corridors for people
  1032. 41:08to move around. Yeah. And then I just
  1033. 41:10added an extra square meter for common
  1034. 41:14areas
  1035. 41:15that besides hallways.
  1036. 41:18Okay.
  1037. 41:19>> areas.
  1038. 41:21All right. So, you have three square
  1039. 41:22meters per per person.
  1040. 41:24>> yeah.
  1041. 41:24>> Yeah, that makes sense. Okay. So, that
  1042. 41:26would gives us that would give us
  1043. 41:29$150
  1044. 41:30per year on rent per person.
  1045. 41:32>> Mhm. And then we need software and
  1046. 41:35tools, of which I think software is the
  1047. 41:37most expensive one because
  1048. 41:39computers and telephones can last quite
  1049. 41:42a long time. Mhm. Uh
  1050. 41:44do you have any range for software?
  1051. 41:47Yeah, you can use $2,000 per year for
  1052. 41:51software and tools together. Okay. Wow,
  1053. 41:53that's quite a lot. It's 10% of their
  1054. 41:55wage. That's
  1055. 41:56>> Yeah, but it is really important for
  1056. 41:58their For their work, right?
  1057. 42:00>> Yeah, that makes sense. Okay, so $2,000.
  1058. 42:03So, for work environment, we have
  1059. 42:05$2,150.
  1060. 42:07Yeah. Then we have management.
  1061. 42:10I would assume again a percentage, so
  1062. 42:12like 10% of their wage
  1063. 42:16to spend with management. Does that make
  1064. 42:18sense?
  1065. 42:20Uh I'd like you to get more specific in
  1066. 42:22that as well. Okay. I'm not trusting
  1067. 42:24that number, do you?
  1068. 42:25>> high level. Yeah. Okay. Okay, that makes
  1069. 42:28sense. So,
  1070. 42:29I would imagine something like
  1071. 42:32three management
  1072. 42:34levels in the structure.
  1073. 42:36So, say for every 10 call center
  1074. 42:40operators, you'd have a supervisor, so
  1075. 42:42that's the first level. Mhm. Make sense?
  1076. 42:44Yeah. Okay.
  1077. 42:46And then we we'd have for every 10
  1078. 42:49supervisors, perhaps a manager. Mhm. And
  1079. 42:52then you'd have like a third level, so a
  1080. 42:56director. And I'm thinking of this for
  1081. 42:58each facility, but we can think of it in
  1082. 43:01the aggregate. Yeah. Because I guess
  1083. 43:04each facility would have the
  1084. 43:07same level of management structures, and
  1085. 43:09they'd be in enough scale for us to
  1086. 43:12consider it as just one thing. Can we do
  1087. 43:14that? Yeah, sure. Okay, so what I'm
  1088. 43:17thinking is to use a multiple of the
  1089. 43:20salary or the wage or the direct cost of
  1090. 43:23this manager or the supervisor. Mhm. And
  1091. 43:26then multiply by the or divide that by
  1092. 43:30how much uh
  1093. 43:33by how much how many people they can
  1094. 43:35take care of. So, for example, if a
  1095. 43:38first level supervisor can take care of
  1096. 43:4010 people,
  1097. 43:41and he earns twice as much as the
  1098. 43:44average call center operator,
  1099. 43:46that would add to each call center
  1100. 43:49operator a cost on on top of the direct
  1101. 43:53cost, a cost of 20%, so two times
  1102. 43:56uh times 10% or 1/10. Make sense?
  1103. 44:00>> Yeah, that makes sense. Okay, so that
  1104. 44:01that would be for the supervisor would
  1105. 44:03add 20% on top of the
  1106. 44:06of the direct cost of a call center
  1107. 44:09operator.
  1108. 44:10Then on a second level manager, so the
  1109. 44:13guy who or guy or girl who manages
  1110. 44:15supervisors. Can we assume that they
  1111. 44:17manage something like
  1112. 44:2010 supervisors? Yeah, sure. Okay.
  1113. 44:24So that would be 100
  1114. 44:27field people. Yeah.
  1115. 44:29>> Right? Okay. And could we assume that
  1116. 44:32they earn like four times as much as a
  1117. 44:34call center operator? Something like $40
  1118. 44:37per hour? Yeah, that makes sense.
  1119. 44:39>> Seems like a good wage for manager
  1120. 44:42operation. Yeah, in a call center, yeah.
  1121. 44:44Yeah. So okay, so that's so that's 4 *
  1122. 44:48100, so 1%.
  1123. 44:51So that would add 4% to to their cost.
  1124. 44:54Yeah.
  1125. 44:55And then the third level, the director
  1126. 44:58So I'd imagine that this person
  1127. 45:02makes like
  1128. 45:04twice as much as a manager or eight
  1129. 45:06times as much as a call center operator,
  1130. 45:09but
  1131. 45:10he take care of like 1,000 people or
  1132. 45:13more. Yeah. So that would be like less
  1133. 45:16than 1%. I'd say it's irrelevant. Like
  1134. 45:19it would be
  1135. 45:21Okay, you can ignore that.
  1136. 45:22>> Okay. So we have 20% add-on cost
  1137. 45:27from the direct cost and we need to
  1138. 45:28consider not just the wages, but the
  1139. 45:31benefits and taxes because these guys
  1140. 45:32have benefits and taxes as well. Okay.
  1141. 45:35For the supervisors plus 4% from the
  1142. 45:37managers, so that's 24%
  1143. 45:41of the management. So management would
  1144. 45:43cost per call center operator a an extra
  1145. 45:4824% of their direct cost.
  1146. 45:50>> Okay. And Yeah, I was thinking
  1147. 45:52>> to 25. Yeah, that's what I was thinking
  1148. 45:54of rounding it up to 25 because of the
  1149. 45:56director. Yeah. And because it's easier
  1150. 45:58as well. Mhm. So 25% of 26,000, which is
  1151. 46:03the direct cost that we found, is 26 /
  1152. 46:064. Yeah. So, that's uh 26 / 2 is 13,000.
  1153. 46:11And if we divide it by 2 again, that's
  1154. 46:13$6,500
  1155. 46:16of management.
  1156. 46:18Okay, so about three times as much as
  1157. 46:19the work environment, which was 2,150.
  1158. 46:22>> All right, perfect.
  1159. 46:23>> All right. And then we have HR.
  1160. 46:26So, we have hiring, firing, and
  1161. 46:28training. Mhm.
  1162. 46:30Uh
  1163. 46:31for hiring and firing, what I thought
  1164. 46:34was to assume a turnover rate. Yeah. So,
  1165. 46:38how often do we have to hire and fire
  1166. 46:41employees so we can have the positions
  1167. 46:43filled year year-round.
  1168. 46:45>> Yeah. Uh and then multiply that by a
  1169. 46:48cost of hiring and a cost of firing in
  1170. 46:51terms of their wage.
  1171. 46:54Not of their total cost
  1172. 46:56uh because
  1173. 46:57I don't think we need to pay benefits
  1174. 46:59and taxes and that. But I've heard once
  1175. 47:02that
  1176. 47:03uh
  1177. 47:03in general, to hire someone, that's
  1178. 47:06about a month's wage or 10% of their
  1179. 47:09annual salary. Uh that's about how much
  1180. 47:13uh recruiting firms charge kind of
  1181. 47:16regardless of uh the level of the
  1182. 47:18person. Okay, regardless of their level,
  1183. 47:20they'll charge 10% of the year's salary
  1184. 47:23or something like that, yeah.
  1185. 47:24>> Okay. So, I was thinking of using that
  1186. 47:26figure.
  1187. 47:27And for the turnover,
  1188. 47:29I don't know the the value, but I I'd
  1189. 47:32assume it's pretty high Mhm. because
  1190. 47:35it's not a
  1191. 47:36it's not the best job in the world to be
  1192. 47:38a call center operator, right?
  1193. 47:39>> You can assume that the average uh
  1194. 47:41worldwide call center turnover is 1.5.
  1195. 47:45Okay. So, is that for the whole
  1196. 47:46industry, or would be for in-house For
  1197. 47:49the whole industry. Okay. So, because
  1198. 47:52cuz I was thinking this is a
  1199. 47:54highly outsourced industry. Mhm. And I
  1200. 47:57was thinking if you have an in-house
  1201. 47:59uh
  1202. 48:00call center operation of a good company
  1203. 48:03like BMW, then turnover could be lower.
  1204. 48:07That makes sense. Does it make sense?
  1205. 48:09>> it to be feasible, yeah. Okay, so can I
  1206. 48:11use one once a year? Like uh
  1207. 48:14the average employee would stay with the
  1208. 48:16job for like 12 months or so. Yeah.
  1209. 48:18Okay. So
  1210. 48:20and can I use the firing cost as the
  1211. 48:22same as the hiring cost? So 10% of the
  1212. 48:24wage. Yeah, that makes sense. Okay, so
  1213. 48:26I'll do once a year, you have to pay 20%
  1214. 48:30of the wage of the employee for hiring
  1215. 48:32and firing. Okay. So that's $4,000 per
  1216. 48:36employee. Okay, sounds good. And then we
  1217. 48:38have training.
  1218. 48:40Mhm.
  1219. 48:41Which
  1220. 48:43I'd assume it's less than 10% of their
  1221. 48:45wage.
  1222. 48:47I mean, I'm I'm thinking of a percentage
  1223. 48:49of the wage because you want to train
  1224. 48:51employees
  1225. 48:53because
  1226. 48:55it's better than not training them and
  1227. 48:57them not doing their job well. Yeah. Uh
  1228. 48:59but you'd also not pay like their full
  1229. 49:02wage every month in training, otherwise
  1230. 49:04it doesn't make sense. You just hire
  1231. 49:06someone that's more skilled. Yeah, sure.
  1232. 49:09So you can assume it would cost $1,000
  1233. 49:13to train an employee.
  1234. 49:14In training costs per year.
  1235. 49:17Yeah, we're assuming that they're
  1236. 49:18staying a year. Okay,
  1237. 49:20that's true. And does that assume uh
  1238. 49:24their time as well or just the cash
  1239. 49:27cost?
  1240. 49:27>> No, that's only the cash costs. Okay,
  1241. 49:29great. So we have $1,000 in training
  1242. 49:33which is 5% of their wage, makes sense,
  1243. 49:35plus $4,000 in hiring and firing.
  1244. 49:38So we have $5,000 HR costs.
  1245. 49:42Now we can calculate the total cost per
  1246. 49:44employee per year. So to do the
  1247. 49:47indirect, we need to sum up management,
  1248. 49:50HR, and work environment. Okay. Right?
  1249. 49:53So, HR $5,000 plus 6.5 thousand in
  1250. 49:57management is $11.5 thousand. Mhm. And
  1251. 50:02we have
  1252. 50:04plus the work environment. So, that's
  1253. 50:0711.5
  1254. 50:08plus 2,000 that's 13.5
  1255. 50:11plus .15 that's 13.65
  1256. 50:15thousand dollars. Mhm. Which is about
  1257. 50:19half of the direct costs. Yeah. So,
  1258. 50:24that's that makes sense.
  1259. 50:26So, if we sum 13.65 plus 26,000 dollars
  1260. 50:31of the direct cost,
  1261. 50:33that would be 39.65
  1262. 50:36thousand dollars.
  1263. 50:38per employee or if we can round that up
  1264. 50:41would be about 40,000 dollars per
  1265. 50:43employee per year. Okay, yeah. You can
  1266. 50:45use 40,000. Okay. So, total cost per
  1267. 50:48employee is 40,000 dollars. Now, the
  1268. 50:50next step to find the total cost
  1269. 50:55per minute in employees is to find how
  1270. 50:59many minutes in a year is each employee
  1271. 51:02in a call. So, we can divide the total
  1272. 51:05cost per employee by how many minutes
  1273. 51:07and we'll find the cost per minute then.
  1274. 51:08Okay? Okay. And to do that, I will break
  1275. 51:11it down into how many minutes each
  1276. 51:14employee works per year. Okay.
  1277. 51:16>> And then multiply that by what
  1278. 51:18percentage of time when they're at work
  1279. 51:22that they're in calls because they might
  1280. 51:24be working on something else rather than
  1281. 51:27customer calls. All right. Okay. So,
  1282. 51:29minutes worked per year as I said
  1283. 51:338 hours per day times 250 days per year,
  1284. 51:36that's 2,000 hours per year. So, we just
  1285. 51:39need to multiply 2,000 hours by 60
  1286. 51:41minutes per hour, which would give us
  1287. 51:45Uh, 2 * 6 is 12 and then we need to add
  1288. 51:47a zero. That's 120,000
  1289. 51:50minutes
  1290. 51:51per year, right?
  1291. 51:53No. Actually, in many countries,
  1292. 51:57uh, there are times there are days when
  1293. 51:59you're paying your employees even though
  1294. 52:01they're not going to work.
  1295. 52:03Mhm. What do you mean by that?
  1296. 52:06Uh,
  1297. 52:07so in some countries you pay sick days
  1298. 52:10for employees.
  1299. 52:10>> All right, there's sick day Okay, so
  1300. 52:12there's sick days.
  1301. 52:13>> But not only.
  1302. 52:15Not only, right. Uh, you have vacations,
  1303. 52:18paid time off. Yeah, perfect.
  1304. 52:20>> Right. What else?
  1305. 52:22You have maternity leave. Mhm.
  1306. 52:25You have, uh, paternity leave. Although
  1307. 52:28that's probably very small because most
  1308. 52:30countries don't have that.
  1309. 52:31>> Yeah, it is just more. You can go with
  1310. 52:33only those three. Okay, so Okay, so we
  1311. 52:35need to take into account sick days,
  1312. 52:37paid time off, and maternity leave.
  1313. 52:38>> Yeah, perfect. And discount that from
  1314. 52:40the 120,000 minutes. Yeah. Okay. So,
  1315. 52:43I'll do that in percentages if that's
  1316. 52:45okay with you. Yeah, that's fine. So So,
  1317. 52:48it's easier to discount. So, sick days,
  1318. 52:52I would say
  1319. 52:54it's pretty high with this type of
  1320. 52:56employment because they're not they
  1321. 52:58don't have a a a
  1322. 53:00a
  1323. 53:01a prosperous career necessarily. Yeah,
  1324. 53:03sure. So, uh, let's say a day per month
  1325. 53:07out of the 20
  1326. 53:08days that they Does that make sense?
  1327. 53:10>> Yeah, that sounds about fine. Okay, so
  1328. 53:115%
  1329. 53:13but
  1330. 53:14I'm thinking that not every country will
  1331. 53:16make you pay them in sick days. Perfect.
  1332. 53:20Yes. You can assume that half of the
  1333. 53:22countries are
  1334. 53:24proportionally half of our call centers
  1335. 53:27will pay for sick days. Okay, so let's
  1336. 53:29say 2.5%
  1337. 53:32Yeah, perfect.
  1338. 53:33less time because of sick days. Then we
  1339. 53:36have paid time off. I would assume a
  1340. 53:38month per year.
  1341. 53:40I know that in the US it's less than
  1342. 53:42that.
  1343. 53:43Perhaps in China, not sure.
  1344. 53:46But I'd say most countries will just do
  1345. 53:471 month per year.
  1346. 53:49>> Yeah, a month is fine. Okay, so that's
  1347. 53:51about 8% a month out of 12. Mhm. So I'll
  1348. 53:55use 8% and then maternity leave. This
  1349. 53:58one's a tricky one. Do you Do you have
  1350. 53:59any data for this?
  1351. 54:02Mhm. What kind of data are you thinking
  1352. 54:04of?
  1353. 54:05I'm thinking of Well, first we need to
  1354. 54:07figure out what percentage of our call
  1355. 54:10center operators are women. Okay. Uh
  1356. 54:13because if we're just considering
  1357. 54:14paternity leave, then Yeah, sure.
  1358. 54:16>> we'll just have this with women.
  1359. 54:18>> So, you can assume half of our employees
  1360. 54:20are women. Half of our employees, okay.
  1361. 54:22And then we'd need to figure out how
  1362. 54:25what percentage of women will uh get
  1363. 54:28pregnant
  1364. 54:30uh per year and then we need to figure
  1365. 54:32out how much time they're off when they
  1366. 54:34do get pregnant.
  1367. 54:35>> Okay, perfect. Uh assume they're off for
  1368. 54:383 months on average.
  1369. 54:39>> 3 months on average, okay. And the
  1370. 54:41percentage of time or the chances that
  1371. 54:45they get pregnant.
  1372. 54:47The way I would do it is to consider uh
  1373. 54:50that a woman a woman is fertile for like
  1374. 54:5220 years of their life. Okay. Uh
  1375. 54:57and if they if they have uh
  1376. 55:01a couple children uh during their life,
  1377. 55:04that's a child every 10 years, Mhm.
  1378. 55:07which is like a 10% of chances of
  1379. 55:10pregnancy every year. Yeah, that makes
  1380. 55:11sense. But then we may have women that
  1381. 55:15are older
  1382. 55:16uh working for for us. Mhm. So, we need
  1383. 55:19to account for that. Or we can just use
  1384. 55:2110% if we assume that most our employees
  1385. 55:24are between 20 and 40 years old.
  1386. 55:26>> go with 10%. Okay. So, we have 50% women
  1387. 55:30uh having a 10% chance of getting
  1388. 55:33pregnant, that's 5% Mhm. times 25% of
  1389. 55:37the year, uh 3 months is 25% of the year
  1390. 55:41of
  1391. 55:42paid time off because of maternity
  1392. 55:44leave. So, that's uh 5% * 25% is 5% / 4,
  1393. 55:49which is 1.25%.
  1394. 55:52Perfect. Okay? So, that gives us
  1395. 55:56uh the minutes worked is 120,000
  1396. 55:59minutes Mhm. minus
  1397. 56:022.5% of sick days plus 8% of paid time
  1398. 56:07off, that's 10.5%. Okay. Plus 1.25%
  1399. 56:12of uh maternity leave, that leaves us
  1400. 56:15with 11.75%.
  1401. 56:18Yeah. Can I just do 12% just to make the
  1402. 56:20math easier?
  1403. 56:21>> Okay, so we have 120,000
  1404. 56:25of that.
  1405. 56:26Uh 12% of that should be uh 12 * 12 is
  1406. 56:30144. So, that's 14.4
  1407. 56:34Mhm. thousand minutes. Okay. Uh because
  1408. 56:37we've rounded the percentage up, we can
  1409. 56:41round this
  1410. 56:43uh down. So, that would leave us with a
  1411. 56:46nice 14,000 minutes instead of 14.4.
  1412. 56:49Yeah, that's fine. Okay. Uh it's
  1413. 56:52actually closer to the real number. So,
  1414. 56:54so they'll be working 106,000 minutes
  1415. 56:58per year.
  1416. 57:00And then of that, a certain percentage
  1417. 57:03of that time they're in calls, and I
  1418. 57:07would think that's close to 80%,
  1419. 57:10but by now I'm thinking that you want me
  1420. 57:12to
  1421. 57:14You are right. I want you to go further
  1422. 57:16in this. This is I'm not trusting this
  1423. 57:18number at all. Okay. So, let's say uh
  1424. 57:20between one call and the other,
  1425. 57:23uh they have some uh
  1426. 57:26perhaps a few seconds or a minute
  1427. 57:29uh with no calls, so nothing from the
  1428. 57:33customer side calling them. Perfect. Uh
  1429. 57:37they have lunch break. I don't know if
  1430. 57:39we pay for that, but
  1431. 57:41Yeah, I assume we do for Okay.
  1432. 57:43>> for a short lunch break.
  1433. 57:44>> Like 20 or 30 minutes?
  1434. 57:45>> Yeah, 30 minutes. Okay, so 30 minutes
  1435. 57:47out of an 8-hour shift would be
  1436. 57:50something like
  1437. 57:517% of their work day.
  1438. 57:54>> Yeah, 6% yeah. Then they can go to the
  1439. 57:57bathroom and for cigarettes,
  1440. 58:01maybe another 20-30 minutes.
  1441. 58:04>> Mhm.
  1442. 58:05Uh
  1443. 58:06and
  1444. 58:07well, they have training and perhaps
  1445. 58:10they have meetings as well.
  1446. 58:12Performance meetings, for example, and
  1447. 58:15we need to pay for that time. Yeah.
  1448. 58:17Right? And I assume this is like 10% of
  1449. 58:20their time. Yeah, just go with 80%. Go
  1450. 58:23with your 80%.
  1451. 58:24>> Okay, sounds good.
  1452. 58:26You you've done the work. Okay, that
  1453. 58:28sounds good. Uh
  1454. 58:30so
  1455. 58:32106
  1456. 58:34thousand minutes per year times 80%
  1457. 58:38So 10% of 106,000 minutes is 10.6
  1458. 58:43thousand minutes. Okay. So 20% should be
  1459. 58:46twice that. That would be
  1460. 58:49uh 21.2 thousand minutes. Okay. So if we
  1461. 58:53discount 106,000 minutes minus 21.2
  1462. 58:58thousand uh we will have 100 100,000
  1463. 59:02minutes minus 20,000 minutes is 80,000
  1464. 59:05minutes. Mhm. And 6,000 minutes minus
  1465. 59:071.2 thousand minutes is 4.8.
  1466. 59:12So that is 84.8
  1467. 59:15thousand minutes per employee in calls
  1468. 59:19with customers. All right.
  1469. 59:20>> And that's assuming that the demand of
  1470. 59:23calls is stable.
  1471. 59:26Uh
  1472. 59:27which
  1473. 59:29Yeah, which we are going to assume.
  1474. 59:30Okay, sounds good. So, to figure out the
  1475. 59:33total cost per employee
  1476. 59:36uh minute or per minutes of an employee
  1477. 59:39with customers
  1478. 59:41that would be $40,000
  1479. 59:44divided by 84.8
  1480. 59:47thousand minutes per employee. Okay. Uh
  1481. 59:50if this were 80,000 minutes per
  1482. 59:52employee, it would be 40,000 divided by
  1483. 59:5580,000, so 50 cents per minute.
  1484. 59:58All right? I'm assuming that you want
  1485. 1:00:00the precise number. I do. Okay. So,
  1486. 1:00:03uh one way to do it is
  1487. 1:00:06So, uh
  1488. 1:00:084.8
  1489. 1:00:11thousand minutes is So, 4,000 minutes
  1490. 1:00:15would be uh
  1491. 1:00:174,000 minutes would be 5% more than
  1492. 1:00:2180,000
  1493. 1:00:22and point eight is
  1494. 1:00:26uh
  1495. 1:00:28point eight is 1% of 80,000. Yeah. So,
  1496. 1:00:324.8 is 6%. Mhm. So, because 84.8
  1497. 1:00:37thousand is 6% higher than 80 Yeah. then
  1498. 1:00:42the cost per minute is 6% lower.
  1499. 1:00:46Very close to the truth.
  1500. 1:00:49I don't think it's precise, but it's
  1501. 1:00:51very close. So
  1502. 1:00:52>> Yeah, this is close enough. I'm fine
  1503. 1:00:54with this. So, I can get uh 50 cents per
  1504. 1:00:56minute and take away 6% Yeah. which is 3
  1505. 1:01:00cents.
  1506. 1:01:01So, you're left with uh 47 cents per
  1507. 1:01:05employee minute
  1508. 1:01:07uh
  1509. 1:01:08with a customer in line. Perfect.
  1510. 1:01:11And the final component is the phone
  1511. 1:01:14network cost per minute of a call. So,
  1512. 1:01:17we need to pay the phone company either
  1513. 1:01:19for internet or telephone. I don't know
  1514. 1:01:22what's the usual way that these call
  1515. 1:01:24centers work, if it's voice over IP or
  1516. 1:01:27regular telephone uh calls, but what I
  1517. 1:01:30do here is to uh find a cost per minute.
  1518. 1:01:34Yeah. Uh
  1519. 1:01:36and then there are of course local calls
  1520. 1:01:39and international calls, depending on
  1521. 1:01:41how we group these call centers. If we
  1522. 1:01:44have one for every country, then they're
  1523. 1:01:46all local, which probably doesn't make
  1524. 1:01:48sense. Mhm. But then if we have like
  1525. 1:01:51a split of
  1526. 1:01:53uh a few call centers globally, then
  1527. 1:01:56some of these calls will be local and
  1528. 1:01:57some international. And then I'd add an
  1529. 1:02:00addition for the waiting time in line.
  1530. 1:02:02As as I've mentioned uh earlier today,
  1531. 1:02:07uh
  1532. 1:02:08the
  1533. 1:02:10the minute of a call is the minute where
  1534. 1:02:12the customer is actually talking to the
  1535. 1:02:14call center rep, but uh they're waiting
  1536. 1:02:18in line for
  1537. 1:02:19somewhere between a few seconds and a
  1538. 1:02:21few minutes,
  1539. 1:02:22and we need to pay that as well.
  1540. 1:02:24Perfect. Okay. All right. So, for the
  1541. 1:02:27cost per minute, uh do we have any any
  1542. 1:02:30idea of how much it costs? It's really
  1543. 1:02:32hard for me to to think about it because
  1544. 1:02:34in real What I would do is to find the
  1545. 1:02:36retail rate and then discount because
  1546. 1:02:38we're paying wholesale. Yeah. But I
  1547. 1:02:42don't know my retail rate for phone
  1548. 1:02:43calls because I just pay for a plan,
  1549. 1:02:46right? Yeah, okay. Uh I can give you
  1550. 1:02:48that. So, assume that local calls are 1
  1551. 1:02:51cent per minute
  1552. 1:02:52>> Mhm. and international calls are 3 cents
  1553. 1:02:55per minute.
  1554. 1:02:55>> Okay, so 1 cent per minute for local and
  1555. 1:02:573 cents for international. And do we
  1556. 1:02:59know the split?
  1557. 1:03:02What do you think? Between local and
  1558. 1:03:03international?
  1559. 1:03:04What do you think? Well, it's a decision
  1560. 1:03:06that they should do that they should
  1561. 1:03:08make. Mhm.
  1562. 1:03:09Uh
  1563. 1:03:11Okay, so here's how I would think about
  1564. 1:03:13it.
  1565. 1:03:14Uh
  1566. 1:03:17In a way, it would make sense for them
  1567. 1:03:19to
  1568. 1:03:21find the lowest cost country
  1569. 1:03:23that they can have a big call center
  1570. 1:03:26with massive economies of scale. Mhm.
  1571. 1:03:28Because this difference between local
  1572. 1:03:31international calls of 2 cents per
  1573. 1:03:33minute Yeah. is less than 5% of the cost
  1574. 1:03:38per employee per minute. Okay, that
  1575. 1:03:40makes sense. The 47 cents. Yeah,
  1576. 1:03:43the difference so that's 5% uh of the of
  1577. 1:03:46that number. Yeah. And
  1578. 1:03:49say if you find a low cost country and
  1579. 1:03:51compare that with a German call center
  1580. 1:03:53operator, for example,
  1581. 1:03:55or an American call center operator,
  1582. 1:03:58then the difference is going to be much
  1583. 1:03:59more than that. Okay, that makes sense.
  1584. 1:04:01Yeah. But
  1585. 1:04:03you probably don't want someone from
  1586. 1:04:05India or a low cost country having a
  1587. 1:04:09German customer in line
  1588. 1:04:11because first they don't speak German
  1589. 1:04:13very well in in most low cost countries.
  1590. 1:04:16And and second, we're a luxury brand. We
  1591. 1:04:19need to take these calls
  1592. 1:04:21uh well. So I would think that they
  1593. 1:04:25would have not a call center in every
  1594. 1:04:27country,
  1595. 1:04:29but
  1596. 1:04:31more than a few call centers across
  1597. 1:04:33across the globe. So
  1598. 1:04:35if I were BMW, I'd probably have a call
  1599. 1:04:37center in the US with local people uh
  1600. 1:04:41because of the accents and so on. I'd
  1601. 1:04:43have one in Germany because they sell a
  1602. 1:04:45lot of cars there. Then perhaps one in
  1603. 1:04:48some European country where they can
  1604. 1:04:50hire
  1605. 1:04:51French native French speakers, native uh
  1606. 1:04:55UK English speakers, Spanish, Italians,
  1607. 1:04:59and so on. Yeah. Maybe have a a call
  1608. 1:05:01center in Scandinavia with people from
  1609. 1:05:03different countries there.
  1610. 1:05:05One in Eastern Europe. Okay, that makes
  1611. 1:05:07sense. Uh why don't you go with uh a
  1612. 1:05:1050/50 split between local calls and
  1613. 1:05:13international calls.
  1614. 1:05:14>> yeah.
  1615. 1:05:14>> so so we can take a simple average
  1616. 1:05:16between 1 cent and 3 cents and have a 2
  1617. 1:05:19cent cost per minute. Yeah. And then we
  1618. 1:05:22have to add onto that
  1619. 1:05:24uh something for our customers waiting
  1620. 1:05:26in line. So, the way I would do is is to
  1621. 1:05:29estimate the average waiting time Mhm.
  1622. 1:05:32and divide that by the average call
  1623. 1:05:33length, Okay.
  1624. 1:05:35>> which is uh 17 minutes.
  1625. 1:05:37>> Mhm. And then we know the how much
  1626. 1:05:39percent we should add on top of the 2
  1627. 1:05:41cents cost per minute.
  1628. 1:05:44All right. Do we know the average
  1629. 1:05:46waiting time
  1630. 1:05:48for our call center? What do you think?
  1631. 1:05:50Okay, that's a good question.
  1632. 1:05:53Uh
  1633. 1:05:54The way I see it, it's a decision Okay.
  1634. 1:05:58>> company.
  1635. 1:05:59And the reason for that is we can have a
  1636. 1:06:02call center with more people Mhm. and
  1637. 1:06:05have a lower waiting time. Yeah. Or a
  1638. 1:06:08call center with less people and have
  1639. 1:06:11customers waiting for like 10 minutes.
  1640. 1:06:13Yeah. But I don't think it makes sense
  1641. 1:06:15to have uh BMW
  1642. 1:06:18customers waiting for a long time in
  1643. 1:06:21line because if they're calling, like no
  1644. 1:06:24one wants to call their car
  1645. 1:06:25manufacturer. They've probably had some
  1646. 1:06:27problem or many of them will have had
  1647. 1:06:29some problem.
  1648. 1:06:31And if you don't treat them well right
  1649. 1:06:33now, they they're never going to buy a
  1650. 1:06:35BMW again. Mhm. Uh so
  1651. 1:06:39I'd say
  1652. 1:06:40anything more than 2 minutes waiting
  1653. 1:06:42time is too much. Okay.
  1654. 1:06:45So, what do you think is the number?
  1655. 1:06:47Uh
  1656. 1:06:49if you're okay with it, I'd love to use
  1657. 1:06:511.7 minutes, so I can divide by 17
  1658. 1:06:54minutes of the average call length and
  1659. 1:06:56have a nice 10% there. That is fine. We
  1660. 1:06:59can do that. Okay, great. So, that would
  1661. 1:07:01give us a
  1662. 1:07:03phone network cost per minute of call of
  1663. 1:07:06uh 2.2 cents or 0.022
  1664. 1:07:10dollars.
  1665. 1:07:11>> Can you walk me through that?
  1666. 1:07:12Oh yeah, sure. It's zero it's 2 cents
  1667. 1:07:14per minute.
  1668. 1:07:15>> Mhm. Plus 10% which is 0.2 cents.
  1669. 1:07:19Oh, okay. Because it's 1.7 minutes
  1670. 1:07:21divided by 17 which is the average
  1671. 1:07:23length of the call.
  1672. 1:07:25Yes.
  1673. 1:07:25>> Okay, okay, I got it.
  1674. 1:07:26>> So we have a 10% addition on the cost
  1675. 1:07:30per minute because of the waiting time.
  1676. 1:07:32>> Okay, perfect.
  1677. 1:07:32>> So we're assuming that the waiting time
  1678. 1:07:34is 10% of the call.
  1679. 1:07:35>> Mhm. So and we're assuming that we're
  1680. 1:07:38paying the same fee Yeah. to the Telco.
  1681. 1:07:41Okay, makes sense. Yeah. So we have 2.2
  1682. 1:07:43cents.
  1683. 1:07:45Uh which which will give us a total
  1684. 1:07:47dollar cost per minute of calls of 47
  1685. 1:07:52cents
  1686. 1:07:53uh in in total employee costs
  1687. 1:07:56Mhm. and 2.2 cents in
  1688. 1:07:59uh phone network costs which is 49.2
  1689. 1:08:02cents.
  1690. 1:08:04Or
  1691. 1:08:05we can round it up to 50 cents.
  1692. 1:08:09Uh
  1693. 1:08:12which happens to be the name of the
  1694. 1:08:13rapper as well.
  1695. 1:08:14Uh
  1696. 1:08:15so that's 50 cents per minute of calls.
  1697. 1:08:19Or if you want to be specific, it's
  1698. 1:08:2149.2.
  1699. 1:08:23Yeah, we can go with 50 cents. Okay.
  1700. 1:08:25Uh so that is interesting
  1701. 1:08:28because at 8.5 minutes per car per year
  1702. 1:08:34we have a call center cost of about $4
  1703. 1:08:37per car. Okay. So it's not too much if
  1704. 1:08:40you consider uh
  1705. 1:08:41how much a car costs, right? Yeah. Now
  1706. 1:08:44let's see the uh total cost of call
  1707. 1:08:48centers which is the initial question.
  1708. 1:08:50And to do that, all I have to do is to
  1709. 1:08:52multiply the 23 million minutes in
  1710. 1:08:55demand Yeah. of call center operators
  1711. 1:08:58and multiply that by 50 cents. So we
  1712. 1:09:01have to divide 23 million by two Yeah.
  1713. 1:09:03which will give us a 11.5
  1714. 1:09:07million dollars of annual call center
  1715. 1:09:10costs for BMW. Okay. What do you think
  1716. 1:09:13of that?
  1717. 1:09:15Mhm.
  1718. 1:09:16That's a good question. So,
  1719. 1:09:18uh one way to think of this number is
  1720. 1:09:20how many cars I'd need to sell to get
  1721. 1:09:22that revenue or that profit back. So,
  1722. 1:09:24Okay. if we think like uh the the
  1723. 1:09:26average BMW costs
  1724. 1:09:29uh $50,000 per car, and I'm assuming
  1725. 1:09:32that the average BMW is a Series 3, not
  1726. 1:09:36a Series 7 or Yeah, sure.
  1727. 1:09:38>> expensive cars.
  1728. 1:09:39Uh so, that would be about
  1729. 1:09:43uh just to to do uh round numbers here,
  1730. 1:09:46a $10 million cost at $50,000 per car
  1731. 1:09:50would be uh 200 cars sold in revenue.
  1732. 1:09:54Or if we assume a 30% profit margin,
  1733. 1:09:57that would be 600 cars sold per year
  1734. 1:10:02uh to pay for a call center, which
  1735. 1:10:07which is not a lot. Uh see, we we we had
  1736. 1:10:10assumed that we have 2.7 million BMWs
  1737. 1:10:13circulating globally. Yeah. If we assume
  1738. 1:10:15that a BMW lasts for 10 years, Mhm. that
  1739. 1:10:18means uh assuming that uh growth is flat
  1740. 1:10:22and everything, Yeah. that that means
  1741. 1:10:24270,000
  1742. 1:10:26cars sold per year. Mhm. Right? So, 600
  1743. 1:10:29cars out of 270,000,
  1744. 1:10:32if we round that up to 300,000 cars per
  1745. 1:10:35year,
  1746. 1:10:35uh 600 out of 300,000, it means that uh
  1747. 1:10:40we
  1748. 1:10:42for every 500 cars that we sell, Mhm.
  1749. 1:10:45one
  1750. 1:10:47uh is there to pay the call center if we
  1751. 1:10:49assume a 30% profit margin.
  1752. 1:10:52So, it's not a it's not one of the
  1753. 1:10:54largest costs, for sure. Mhm.
  1754. 1:10:58It's not so expensive for this company.
  1755. 1:11:01Okay, and if you were the CEO, how would
  1756. 1:11:03you think about this cost? What would
  1757. 1:11:05you think of it? If I were the CEO of
  1758. 1:11:07BMW
  1759. 1:11:08>> Yeah. Mhm. Good question.
  1760. 1:11:12I think there's there are two ways to
  1761. 1:11:14think about it. The way that
  1762. 1:11:16people usually think of call centers
  1763. 1:11:19and mainly telecom companies, those
  1764. 1:11:22companies that call you all the time is
  1765. 1:11:23that they think of it as a cost. Uh-huh.
  1766. 1:11:25That they need to cut, right? Now, if I
  1767. 1:11:27were the CEO of BMW, let's say I have
  1768. 1:11:30this $11.5 million
  1769. 1:11:33per year cost. Mhm. Maybe I could cut 10
  1770. 1:11:36or 20% of it if I made the call center
  1771. 1:11:39very efficient and maybe reduce the
  1772. 1:11:42service levels. Yeah, maybe. So, that's
  1773. 1:11:44a $1.5 to $3 million saving per year.
  1774. 1:11:48Mhm.
  1775. 1:11:49Uh but
  1776. 1:11:51as I hinted in the waiting time part of
  1777. 1:11:53the case uh
  1778. 1:11:56if you have a BMW and you need to call
  1779. 1:11:58them you don't really want to do that.
  1780. 1:12:00You probably have a problem.
  1781. 1:12:02Uh and
  1782. 1:12:05it's one of those interactions where you
  1783. 1:12:07might lose the customer forever.
  1784. 1:12:09Uh-huh. Or if you treat them really,
  1785. 1:12:11really well Mhm. uh you might
  1786. 1:12:15get their loyalty and then they'll tell
  1787. 1:12:17all their wealthy friends about it and
  1788. 1:12:20they'll buy a new BMW when the time
  1789. 1:12:22comes.
  1790. 1:12:24So, if I were the CEO, uh I could think
  1791. 1:12:27of this as a marketing expense.
  1792. 1:12:30And hey, tell me more about that. Yeah,
  1793. 1:12:31I'm thinking of it that way like
  1794. 1:12:35I wouldn't say it would be a bad
  1795. 1:12:37business move to
  1796. 1:12:39even invest more Mhm. to increase the
  1797. 1:12:42quality of this call center
  1798. 1:12:45and maybe
  1799. 1:12:46uh maybe if we
  1800. 1:12:49let's say we had a $20 million cost per
  1801. 1:12:52year instead of 11.5, we'd probably have
  1802. 1:12:54a really really good call center with
  1803. 1:12:57really good service
  1804. 1:12:59and
  1805. 1:13:01and the customers that had to call and
  1806. 1:13:04they do call once every 2 years as we
  1807. 1:13:06have as we have assumed, they'd be
  1808. 1:13:08delighted.
  1809. 1:13:10And
  1810. 1:13:12we wouldn't need to grow our sales too
  1811. 1:13:15much to justify that.
  1812. 1:13:17All right, sure that makes sense, but
  1813. 1:13:19can you give me some examples of how
  1814. 1:13:20they would be delighted? Like you're
  1815. 1:13:22talking about a $10 million $10 million
  1816. 1:13:24increase Yeah. In cost? Yeah, it's just
  1817. 1:13:28an assumption. It's hard to measure.
  1818. 1:13:30>> I get that, but can you give me some
  1819. 1:13:31examples? Like what what would this
  1820. 1:13:34super call center do differently? Mhm,
  1821. 1:13:37good question.
  1822. 1:13:39Let me think of a few examples, right?
  1823. 1:13:41So right now we're paying $10
  1824. 1:13:44per
  1825. 1:13:46per hour for this for this person. Okay.
  1826. 1:13:49So they're not super qualified, mhm,
  1827. 1:13:52especially in in a developed country.
  1828. 1:13:54Yeah.
  1829. 1:13:55If we if we paid them 12 or $13 per hour
  1830. 1:13:58or even $15 per hour
  1831. 1:14:01and instead of doing like $1,000 in
  1832. 1:14:03training, we had like $2,000 in
  1833. 1:14:05training,
  1834. 1:14:07perhaps we could have
  1835. 1:14:09super polite people who know how to
  1836. 1:14:13treat the customer well and
  1837. 1:14:16they're basically more polite. So that's
  1838. 1:14:18one way to think about it. Okay. Another
  1839. 1:14:20way to think about it is to have I don't
  1840. 1:14:23know, like let's say that about 10% of
  1841. 1:14:26the calls
  1842. 1:14:28had an issue on the road and they need
  1843. 1:14:30to troubleshoot it.
  1844. 1:14:32It would be much better if they could be
  1845. 1:14:35uh
  1846. 1:14:37on the call with a trained mechanic.
  1847. 1:14:40Okay. Which could cost like 30 to $40
  1848. 1:14:43per hour if it's a super skilled
  1849. 1:14:45mechanic that can troubleshoot a car
  1850. 1:14:48through the phone. Yeah.
  1851. 1:14:50Uh but it wouldn't add the cost too much
  1852. 1:14:53because we're talking about a three-fold
  1853. 1:14:56increase in salary, but just on 10% of
  1854. 1:14:59the operators in the call center. So,
  1855. 1:15:01it's a $3 per hour increase on average.
  1856. 1:15:05Okay. So, and that would make the
  1857. 1:15:07experience much better because if your
  1858. 1:15:09car broke in the middle of the road,
  1859. 1:15:11you're probably not never going to buy
  1860. 1:15:13that brand anymore unless
  1861. 1:15:16you're on a call with a mechanic that
  1862. 1:15:18can help you out and they can maybe even
  1863. 1:15:22FaceTime you and see what lights in the
  1864. 1:15:25panel showed up or Uh-huh. something
  1865. 1:15:27like that. Okay, that makes sense. Uh
  1866. 1:15:29another example. We We currently pay
  1867. 1:15:31$2,000 per year in software and tools.
  1868. 1:15:34Mhm.
  1869. 1:15:35Maybe there are pieces of software that
  1870. 1:15:37we can add that integrate with uh our
  1871. 1:15:40sales process, for example. Mhm. And
  1872. 1:15:44that would mean that the call center
  1873. 1:15:45operator uh when they talk to the
  1874. 1:15:47customer, they could say things like,
  1875. 1:15:49"Well,
  1876. 1:15:50uh hey John, it's nice to
  1877. 1:15:53to talk to you uh and they know your
  1878. 1:15:55name because of your phone number."
  1879. 1:15:58Yeah. And they say, "Well, I see it's
  1880. 1:16:00your third car with us and really
  1881. 1:16:03delighted to to
  1882. 1:16:05to have you on call today. What can I
  1883. 1:16:06help you with?" And they have some basic
  1884. 1:16:08information about you. Like, you've been
  1885. 1:16:11a customer before. What's your name?
  1886. 1:16:14Where do you live? Yeah, so it can feel
  1887. 1:16:15like you're talking to someone who knows
  1888. 1:16:17you. Instead of a random person that's
  1889. 1:16:20Uh-huh. that doesn't care about you,
  1890. 1:16:22yeah? So, I I don't really know if we'd
  1891. 1:16:24need to bump this up to $20 million. I
  1892. 1:16:27don't know I don't know if it makes
  1893. 1:16:28sense. Yeah. But I'm thinking that maybe
  1894. 1:16:32uh we can increase the service level
  1895. 1:16:34through creative ways and maybe even we
  1896. 1:16:37as a consulting firm
  1897. 1:16:39can think of these ways and propose to
  1898. 1:16:41the client uh how to do that.
  1899. 1:16:45And
  1900. 1:16:46the cost easily justifies itself because
  1901. 1:16:51we're talking about a $50,000 product
  1902. 1:16:54and currently a $4 per customer annual
  1903. 1:16:57cost.
  1904. 1:16:59In an important interaction that they
  1905. 1:17:01have with us that albeit infrequent
  1906. 1:17:04infrequent
  1907. 1:17:05uh when it happens it's an important
  1908. 1:17:08interaction. Okay.
  1909. 1:17:09>> All right, that makes sense. All right,
  1910. 1:17:11guys. So, this is it for this case. Now,
  1911. 1:17:15I want to go through some key insights
  1912. 1:17:19that you can learn from this case.
  1913. 1:17:21They're probably the most important
  1914. 1:17:23lessons in it.
  1915. 1:17:25All right, so the first thing is you
  1916. 1:17:29might have noticed that
  1917. 1:17:32in this case we went and Bruno went into
  1918. 1:17:36extreme depth within the estimation.
  1919. 1:17:39You've probably not even done an
  1920. 1:17:43estimation with that level of depth of
  1921. 1:17:46structure so far, right? And the
  1922. 1:17:49question you might be asking yourself is
  1923. 1:17:52how do you even know if you're going to
  1924. 1:17:54have to go to that level level of depth?
  1925. 1:17:56Because if you don't go to that level of
  1926. 1:17:59depth and interviewer wants you to go to
  1927. 1:18:01that level of depth, then well, that's
  1928. 1:18:04going to be a problem, right? And if you
  1929. 1:18:06do go into but the interviewer didn't
  1930. 1:18:08want you to do that, then you've got a
  1931. 1:18:10problem as well cuz you're going to take
  1932. 1:18:12forever to do a simple estimation that
  1933. 1:18:15interviewer wanted to be super simple.
  1934. 1:18:17Now, the answer to this question is
  1935. 1:18:20simpler than it sound than you might
  1936. 1:18:22think.
  1937. 1:18:24It's
  1938. 1:18:26you never have to do an estimation this
  1939. 1:18:30deep without the the partner asking you
  1940. 1:18:32to do that.
  1941. 1:18:33But you have to be prepared to go into
  1942. 1:18:36this level of depth in any estimation,
  1943. 1:18:39in every single estimation. Because at
  1944. 1:18:41any point, the partner can ask you to go
  1945. 1:18:44deeper. So, in this specific case, it is
  1946. 1:18:48super important that you are efficient
  1947. 1:18:51because the case is so long. So, if
  1948. 1:18:53you're not efficient, then the partner
  1949. 1:18:56wouldn't even have time to ask you to go
  1950. 1:18:58deeper where he wants you to go deeper
  1951. 1:19:00the most.
  1952. 1:19:01But, you could never know that the case
  1953. 1:19:04would be so long beforehand, right? You
  1954. 1:19:06can't start the case and then before you
  1955. 1:19:08start structuring, you ask the partner,
  1956. 1:19:10"Also, how long is this going to go?
  1957. 1:19:11Just so I know how efficient I'm going
  1958. 1:19:13to be."
  1959. 1:19:14So, you need to be efficient in every
  1960. 1:19:17estimation that you do.
  1961. 1:19:19And in this one specific case, the main
  1962. 1:19:22source of efficiency was the approach
  1963. 1:19:26that was used.
  1964. 1:19:28Which brings me to the second key
  1965. 1:19:30insight. The approach that Bruno used to
  1966. 1:19:34break down this estimation. You might
  1967. 1:19:36have noticed that the idea of breaking
  1968. 1:19:40uh the costs down right away into number
  1969. 1:19:44of minutes demanded and number of
  1970. 1:19:46minutes of calls and cost per minute is
  1971. 1:19:50not the first choice for a lot of
  1972. 1:19:53people. But, well, it should be. So, the
  1973. 1:19:56question that I'm going to answer now
  1974. 1:19:57is, "Why did Bruno break the structure
  1975. 1:20:00down into minutes and cost per minute
  1976. 1:20:04than rather than the the actual
  1977. 1:20:06cost components, which is the most
  1978. 1:20:08common choice if you are doing
  1979. 1:20:13uh a cost estimation?" So, let me show
  1980. 1:20:16you first what this would look like if
  1981. 1:20:22what this the structure would look like
  1982. 1:20:24if we were actually doing uh breaking
  1983. 1:20:27breaking the cost down into the cost
  1984. 1:20:28components. And then I'm going to show
  1985. 1:20:30you why it can't translate all into
  1986. 1:20:33minutes and cost per minute, and then
  1987. 1:20:35I'm going to explain you why this choice
  1988. 1:20:38is better than
  1989. 1:20:41going straight into the cost components.
  1990. 1:20:43So, if we were to break down
  1991. 1:20:46the worldwide BMW call center costs into
  1992. 1:20:49the cost components, this is what we
  1993. 1:20:51would have.
  1994. 1:20:52Uh employees, rent, software tools,
  1995. 1:20:55phone network cost. This is more or less
  1996. 1:20:57what it would be like. And then, let's
  1997. 1:20:59say you break down the employees into
  1998. 1:21:02employees that make the that make calls,
  1999. 1:21:04management, and hiring and training cuz
  2000. 1:21:07that's also within employees costs,
  2001. 1:21:09right?
  2002. 1:21:10Uh
  2003. 1:21:12if
  2004. 1:21:13then we should try to get to
  2005. 1:21:16uh the number of employees that make
  2006. 1:21:17calls, or rather the cost of employees
  2007. 1:21:21that make calls, which should be the
  2008. 1:21:22number of employees times their
  2009. 1:21:25um
  2010. 1:21:26their salaries, right? Uh and benefits,
  2011. 1:21:29of course. So,
  2012. 1:21:31to get to that, to get to the number of
  2013. 1:21:33employees, we would need to find the
  2014. 1:21:36demand in number of minutes of calls,
  2015. 1:21:38right? And then we would cross that
  2016. 1:21:41uh against the
  2017. 1:21:44supply of minutes per employee. So, how
  2018. 1:21:48many minutes in a year an employee will
  2019. 1:21:51talk an employee will talk on the phone
  2020. 1:21:53with customers.
  2021. 1:21:54So,
  2022. 1:21:55the way to get to employees that make
  2023. 1:21:57calls is by finding the demand in
  2024. 1:22:00minutes of calls, and then the supply of
  2025. 1:22:03minutes per employee.
  2026. 1:22:05And then to find um
  2027. 1:22:07the management cost,
  2028. 1:22:10we would need to find the number of
  2029. 1:22:11employees, cuz the number of managers in
  2030. 1:22:14every single level depends on the number
  2031. 1:22:16of employees in the base of the
  2032. 1:22:20of the front line of the organization,
  2033. 1:22:22right? So, it depends on the number of
  2034. 1:22:24employees, which again depends on the
  2035. 1:22:26demand in minutes, of course.
  2036. 1:22:29And then the hiring and training costs,
  2037. 1:22:31that depends directly in the number of
  2038. 1:22:34on the number of employees, right? Which
  2039. 1:22:36depends again on the demand in minutes,
  2040. 1:22:39of course.
  2041. 1:22:40And then if we're talking about rent,
  2042. 1:22:43right? What is What does the rent cost
  2043. 1:22:47of a global
  2044. 1:22:49uh call center operation depend on? It
  2045. 1:22:51depends on how many people there are
  2046. 1:22:53going to be. Cuz that's the only thing
  2047. 1:22:55that's inside a call center operation
  2048. 1:22:58plant, right? It's only people. So, it
  2049. 1:23:01depends on how many people there are
  2050. 1:23:02going to be, and of course,
  2051. 1:23:05uh how much space they're going to take,
  2052. 1:23:07and how much that space is going to
  2053. 1:23:09cost. But basically, number of employees
  2054. 1:23:11is
  2055. 1:23:12uh the most important driver.
  2056. 1:23:14Then you're going to cross with the
  2057. 1:23:16others to get to the actual costs. And
  2058. 1:23:19the number of employees again depends in
  2059. 1:23:21the number of minutes uh of calls.
  2060. 1:23:25And then software, same thing, number of
  2061. 1:23:27employees, cuz not surprisingly, the
  2062. 1:23:30software companies charge by number of
  2063. 1:23:33users. All right? And then tools, the
  2064. 1:23:36way we're going to get to the tools is
  2065. 1:23:39number of employees, because who's going
  2066. 1:23:41to use those tools? The people who are
  2067. 1:23:43making the calls. Otherwise, you don't
  2068. 1:23:44need the tools, right? And then
  2069. 1:23:47uh phone network costs, well, finally
  2070. 1:23:49something that doesn't depend on the
  2071. 1:23:51number of employees, but still it
  2072. 1:23:54depends directly on the minutes of
  2073. 1:23:56calls, cuz that's exactly what you're
  2074. 1:23:58paying for, right? Uh you're paying for
  2075. 1:24:00the minutes of calls to the phone
  2076. 1:24:02network.
  2077. 1:24:03And if you do all this, well, since
  2078. 1:24:07everything depends on the demand in
  2079. 1:24:10minutes of calls, then it's not a driver
  2080. 1:24:12of every single cost component, that's
  2081. 1:24:15the driver of the entire cost, right?
  2082. 1:24:18Instead of saying demand times uh the
  2083. 1:24:22cost per minute per for employees, the
  2084. 1:24:26minutes times the cost per minute of for
  2085. 1:24:30rent,
  2086. 1:24:31right? Every blah blah blah blah blah.
  2087. 1:24:34You can just
  2088. 1:24:35direct directly structure this into
  2089. 1:24:38uh number of minutes of calls and cost
  2090. 1:24:41per minute of calls. And then you break
  2091. 1:24:42down cost per minute of calls into
  2092. 1:24:45everything else.
  2093. 1:24:46So, now, why is this better than uh just
  2094. 1:24:52breaking down to the cost components?
  2095. 1:24:54Well, for one thing, it allows you to do
  2096. 1:24:57the estimation quicker. It's going to be
  2097. 1:24:58a lot quicker to do it this way.
  2098. 1:25:01Probably around three times faster.
  2099. 1:25:04Right? It's going to allow you to have a
  2100. 1:25:07smaller, simpler model, which is easy
  2101. 1:25:10which is easier to look at, easier to
  2102. 1:25:14think about, and easier to talk about.
  2103. 1:25:16So, it's a lot easier to show to your
  2104. 1:25:18client, but it's also a lot easier to
  2105. 1:25:23think about what would change. So, let's
  2106. 1:25:24say uh you're using this model to
  2107. 1:25:27discuss with your client and with the
  2108. 1:25:30partner uh a few changes that you could
  2109. 1:25:32do
  2110. 1:25:33in the operation of the call center.
  2111. 1:25:35Maybe you want to think about what it
  2112. 1:25:38would mean
  2113. 1:25:40to the total costs if you were to
  2114. 1:25:44uh
  2115. 1:25:46change how long the calls would take,
  2116. 1:25:49the average call would take. Because you
  2117. 1:25:51want to get better results, so you want
  2118. 1:25:53to increase the the minutes of each
  2119. 1:25:56call, the average time of each call by
  2120. 1:25:5750%. What would this mean to the total
  2121. 1:26:00costs? You can tell with Bruno's
  2122. 1:26:02structure, but with this alternative
  2123. 1:26:04structure that I showed you, you can't
  2124. 1:26:07really tell uh immediately. It's going
  2125. 1:26:09to take some work, which is going to
  2126. 1:26:11make this discussion that could be one
  2127. 1:26:14meeting last probably two or three
  2128. 1:26:16weeks.
  2129. 1:26:18Or maybe if you want to change the
  2130. 1:26:21the time that employees are off calls.
  2131. 1:26:23You want to increase that so that you
  2132. 1:26:25can reduce waiting time of your clients.
  2133. 1:26:28So,
  2134. 1:26:29if you think try to think about this
  2135. 1:26:32with the alternative structure, again,
  2136. 1:26:33this could take weeks. But if you have a
  2137. 1:26:36simpler, more elegant structure than the
  2138. 1:26:39one that Bruno used, then this could be
  2139. 1:26:41done uh in just a meeting, right? And
  2140. 1:26:44what this means is that this just makes
  2141. 1:26:47up a more elegant solution. Uh because
  2142. 1:26:51it finds the actual drivers and put them
  2143. 1:26:54in evidence rather than bury them in the
  2144. 1:26:57end of the tree and behind every single
  2145. 1:27:01cost component. And this kind of
  2146. 1:27:04elegance just shows mental clarity.
  2147. 1:27:08Because the relevant factors are clean,
  2148. 1:27:11they're clear from the noise, and the
  2149. 1:27:13less relevant ones like cost per square
  2150. 1:27:16meter, they're not parallel to the
  2151. 1:27:18number of minutes. They're relegated to
  2152. 1:27:20the ends of the branches, which is a lot
  2153. 1:27:22better. Now, if you estimated exactly
  2154. 1:27:26the same way, the same value, and the
  2155. 1:27:29same assumptions as Bruno did, the lack
  2156. 1:27:31of elegance could bro could probably
  2157. 1:27:34bother the partner up to the point of
  2158. 1:27:36rejecting you.
  2159. 1:27:38Uh it could also just
  2160. 1:27:41show it could also just take so long
  2161. 1:27:44that the partner wouldn't have the
  2162. 1:27:46chance to challenge you in the things
  2163. 1:27:49that he wanted. And so he would say,
  2164. 1:27:50"Well, I can't I couldn't test whether I
  2165. 1:27:52want this guy or not. I can't hire him."
  2166. 1:27:54And now let's move on to the next key
  2167. 1:27:58insight. Why did the interviewer want to
  2168. 1:28:01go into so much depth? Or uh in the
  2169. 1:28:04words that you're probably thinking, why
  2170. 1:28:06was the interviewer, in this case me,
  2171. 1:28:09being such an ass, right? I was
  2172. 1:28:11challenging everything that Bruno said.
  2173. 1:28:13I was challenging him to go deeper. And
  2174. 1:28:16in most times, his numbers were good. He
  2175. 1:28:19The numbers that he got by going so much
  2176. 1:28:21deeper were not so much better. So,
  2177. 1:28:25what did the partner want? So, he really
  2178. 1:28:28wanted four things.
  2179. 1:28:30Number one, he wanted to see if you
  2180. 1:28:33could build a really, really fragmented
  2181. 1:28:35model cuz he knows that the structure
  2182. 1:28:38that you created the first time was good
  2183. 1:28:40enough as a general rule for estimation
  2184. 1:28:42cases at least. But he wanted to see
  2185. 1:28:45that if you needed to go deeper, you
  2186. 1:28:48would be able to do so. So that when
  2187. 1:28:50you're doing real cases, real projects,
  2188. 1:28:54if you need, you can build a really deep
  2189. 1:28:57model.
  2190. 1:28:58And now, he also wanted to see if you
  2191. 1:29:00could discuss each tiny item in the in
  2192. 1:29:06the model. So,
  2193. 1:29:08he wanted to know that that you would
  2194. 1:29:10see every single nuance if you needed
  2195. 1:29:13to. So that if you're doing a real case,
  2196. 1:29:15again, you wouldn't forget something
  2197. 1:29:17just because it's so tiny. So that let's
  2198. 1:29:20say you're doing a project where you
  2199. 1:29:22need to do this estimation, right? And
  2200. 1:29:24then you need to do it in a day, and so
  2201. 1:29:27you do it the simple way.
  2202. 1:29:29But then suddenly you need more depth,
  2203. 1:29:31and then you have a week to do it. He
  2204. 1:29:33wants to know that if you have that
  2205. 1:29:35week, you're not going to do it in a day
  2206. 1:29:36again and then send it to them and then
  2207. 1:29:39they're going to or in that case your
  2208. 1:29:41manager or partner is going to say this
  2209. 1:29:43is not good enough. I need deeper, and
  2210. 1:29:45then they'll throw it back to you, and
  2211. 1:29:47then you're doing it in a day again and
  2212. 1:29:48go a little bit deeper, and then you're
  2213. 1:29:50going to do it again and again and
  2214. 1:29:51again. He doesn't want that. They want
  2215. 1:29:53someone who can actively be go in depth,
  2216. 1:29:57and that's why he's testing that in the
  2217. 1:29:58interview. Of course, you don't need to
  2218. 1:30:00be
  2219. 1:30:01to go in that level of depth at first,
  2220. 1:30:04but he wants to know that once you know
  2221. 1:30:06that you need depth, you can do it.
  2222. 1:30:10Right? And the next thing is they want
  2223. 1:30:13to be sure that they are avoiding the
  2224. 1:30:15frameworky candidates.
  2225. 1:30:17What I mean is the candidates that come
  2226. 1:30:19with answers ready in their mind. So,
  2227. 1:30:21let's say you've already seen a case
  2228. 1:30:24where you need to estimate costs of a
  2229. 1:30:25call center.
  2230. 1:30:27Uh you already have the answer, right?
  2231. 1:30:29But then if you go into that level of
  2232. 1:30:31depth, it's impossible to use
  2233. 1:30:33frameworks. It's impossible to use
  2234. 1:30:36references of cases you did in the past.
  2235. 1:30:38You're left with only your skills, and
  2236. 1:30:40either you can create a solution for
  2237. 1:30:42each tiny problem, or you can't. Or you
  2238. 1:30:45have just so many uh
  2239. 1:30:48frameworks and ready answers in your
  2240. 1:30:50mind that you can do anything, but
  2241. 1:30:51that's fine as well. Like if you have
  2242. 1:30:53that many
  2243. 1:30:54ready answers in your mind that you can
  2244. 1:30:56use on the spot, well, you're good
  2245. 1:30:58enough, right? And the fourth thing that
  2246. 1:31:01the partner or the interviewer in that
  2247. 1:31:04in that case, well, this is a partner
  2248. 1:31:05case, so it would be the partner, and uh
  2249. 1:31:08it's me, the interviewer. I wanted to
  2250. 1:31:10see is if Bruno would break.
  2251. 1:31:13I know that it's incredible incredibly
  2252. 1:31:16frustrating to be challenged like that.
  2253. 1:31:19And the interviewer knows as well in the
  2254. 1:31:22actual consulting interview.
  2255. 1:31:23They know that your ego takes a blow
  2256. 1:31:26each time, and it feels like the
  2257. 1:31:27interviewer is saying that you're wrong,
  2258. 1:31:29that your answer is too shallow, uh in
  2259. 1:31:31the end that you're not good enough.
  2260. 1:31:33And a lot of people get afraid by
  2261. 1:31:35because of that. They get nervous, they
  2262. 1:31:37make mistakes in the rest of the case.
  2263. 1:31:39Do not get scared by this. They know
  2264. 1:31:42what they're doing. They're They know
  2265. 1:31:44what's going on, and it's nothing
  2266. 1:31:46personal, and they don't mean that you
  2267. 1:31:48did something wrong.
  2268. 1:31:50Now, here's what's going on.
  2269. 1:31:52You know, in consulting, many, many
  2270. 1:31:54times the job is frustrating like this.
  2271. 1:31:57Many, many times the interaction with
  2272. 1:31:59clients is frustrating like this. And
  2273. 1:32:01you're going to have to make points to
  2274. 1:32:03your clients or to some people among
  2275. 1:32:05your your clients' organizations. And
  2276. 1:32:08those people are not going to agree with
  2277. 1:32:09those points. And they're going to come
  2278. 1:32:11up with every single
  2279. 1:32:14uh objection and questioning. And you
  2280. 1:32:18intuitively you will know that it will
  2281. 1:32:20not make a difference, but you're still
  2282. 1:32:21going to have to prove it. And the way
  2283. 1:32:23to prove that if you're a consultant is
  2284. 1:32:26with logic and with more in-depth
  2285. 1:32:28breakdown. And if those attacks break
  2286. 1:32:31you, then projects that happen like that
  2287. 1:32:35are going to become a huge problem. And
  2288. 1:32:37they can't afford that. They can't
  2289. 1:32:38afford you having problems with that
  2290. 1:32:41kind of project cuz
  2291. 1:32:43I'm not sure if they're the majority of
  2292. 1:32:45the problem the projects, but they are a
  2293. 1:32:48fair sum of them. But I would That's
  2294. 1:32:51possible that they're the majority of
  2295. 1:32:52the projects.
  2296. 1:32:53Consulting is frustrating like this so
  2297. 1:32:56many times, and this is exactly what
  2298. 1:33:00they're testing for.
  2299. 1:33:02All right. Well, guys, this is it for
  2300. 1:33:04this case. This is it for the insights
  2301. 1:33:07of this case.
  2302. 1:33:09Uh I hope it was helpful to you, and
  2303. 1:33:11I'll see you in the next video.

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