495: Setting up scale: How to avoid voltage drop (with John A. List)

495: Setting up scale: How to avoid voltage drop (with John A. List)

Welcome to an episode with a highly regarded economist and best-selling author, John A. List. Get John's book here: https://amzn.to/3BDlHzj

In this episode, John defined scaling – an overused yet often confused word in the startup world today – and elaborated the term. He also spoke about the voltage effect and how it relates to scaling. The discussion revolved around the five vital signs that every scalable idea must possess to avoid voltage drops and gave numerous realistic examples to help us visualize each sign. John also shared the top things that we must keep in mind when making decisions related to scaling.

Professor John A. List is the Kenneth C. Griffin Distinguished Service Professor in Economics at the University of Chicago. His research focuses on combining field experiments with economic theory to deepen our understanding of the economic science.

In the early 1990s, List pioneered field experiments as a methodology for testing behavioral theories and learning about behavioral principles that are shared across different domains. He co-authored the international best seller, The Why Axis, in 2013.

List was elected a Member of the American Academy of Arts and Sciences in 2011, and a Fellow of the Econometric Society in 2015. List received the 2010 Kenneth Galbraith Award, the 2008 Arrow Prize for Senior Economists for his research in behavioral economics in the field, and was the 2012 Yrjo Jahnsson Lecture Prize recipient. He is a current Editor of the Journal of Political Economy.

Get John's book here:

The Voltage Effect: How to Make Good Ideas Great and Great Ideas Scale. John A. List: https://amzn.to/3BDlHzj

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82: Sanity Checking Estimations in Cases

82: Sanity Checking Estimations in Cases

Many candidates forget to sanity-check their calculations in a case. That is a bad idea. Without a sanity-check there is no way to meaningfully assess the accuracy of your answer. More important, how you perform the sanity check is the key. All sanity-checks must involve the reduction of the answer to a number that you can intuitively compare to your own experiences. Unless you do this, you can never defend your answer.

10 Heinä 20125min

81: Follow a Quant-Heavy Engagement

81: Follow a Quant-Heavy Engagement

I have written this from the perspective of the partner, since I was the partner leading this engagement. Consulting engagements at McKinsey and BCG, especially, tend to be naturally analytic in nature. This particular engagement was extremely so since the underlying analytic technique we were trying to use had never ever been successfully applied to a real environment with so many "messy" data points and random events. This podcast will be especially useful to those with physics, math and computer science backgrounds who want to see how consulting firms apply very creative analyses while sticking to the strict guidelines on analytic rigor.

4 Heinä 201257min

80: Consulting Career

80: Consulting Career

Despite all the hype about BCG, McKinsey et al, you will only have a great career after these firms if you are astonishingly strategic in your career choices and also get promoted. If you do not get promoted you will spend the rest of your life explaining why you were not managed out - not a pleasant discussion since you will rarely be believed. This podcast explains some of the decisions you will have to make and how to make them.

28 Kesä 201223min

78: How to Prepare for September

78: How to Prepare for September

Too many candidates do their case interview preparation in August and September. While we certainly think 6 months is far to long to spend preparing, we believe candidates need to create a list of their development area and use this to decide their preparation time. No time candidates are the same and weaknesses should drive the preparation time in its totality. Choosing average based on what your friends are doing is generally a very, very bad idea.

22 Kesä 201218min

77: How PhD Candidates Should Prepare

77: How PhD Candidates Should Prepare

PhD candidates face three unique circumstances. First, they have to overcome the lack of available timing or guidelines for internship interviews since most thesis advisers will be unlikely to reschedule experiments and summer plans to accommodate McKinsey internship requests. Two, PhD's have certain stereotypes which they personally believe and exhibit such as they are less analytic than MBAs. Third, PhD's need to address the weaknesses consulting firms think they have like an inability to prioritize. This podcast touches on the main issues.

16 Kesä 201219min

76: Case Competitions Do Not Help

76: Case Competitions Do Not Help

One of the greatest myths is that entering a case competition will help you prepare for a consulting interview and will impress a consulting firm. Neither is true and this podcast explains why. We specifically encourage our clients to avoid case competitions if they can. If mandatory, we insist they put in the least possible effort.

10 Kesä 201220min

75: Myths about Management Consulting

75: Myths about Management Consulting

This general podcast describes some of the common misconceptions applicants and even practicing McKinsey/BCG consultants have about their own firms. It will be useful to anyone who wants to understand some of the broad themes and misunderstandings about the profession.

4 Kesä 201213min

74: Writing McKinsey Resumes

74: Writing McKinsey Resumes

This podcast examines the 5 "hard" elements McKinsey looks for in a resume. Yet, the main value of this podcast is in discussing the things McKinsey looks for but is very hard to quantify and describe; what is the best bullet to write, what is an achievement oriented bullet, should education go to the top or bottom, should GMAT scores be included etc. These subtle inclusions all contribute to your resume profile and in our experience, we have never seen a resume that did not have to be substantially re-written.

29 Touko 201229min

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