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

Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

Jaksot(816)

121: Six Priorities for Case Interviews

121: Six Priorities for Case Interviews

This podcast provides a simple set of priority areas that a novice aspiring consultant should focus upon in the building up to the MBA full-time September interviews. It ties together themes from existing podcasts but presents them in the format of a case interview preparation roadmap.

1 Maalis 20139min

120: Brainstorming With Definitions

120: Brainstorming With Definitions

Brainstorming is very difficult and a crucial skill to have when solving cases, especially with McKinsey where the interviewer will constantly ask you to probe and brainstorm different areas of the case. This podcast examines the initial parts of the brainstorming structure. Since brainstorming happens in such a rapid-fire format and appears unstructured, the speed at which it is done creates the illusion it lacks structures. Yet, it does have structure, but is merely done very quickly in the candidate's mind. This podcast will teach candidates how to generate a structure/definition that can be used to guide the development of options or paths in the brainstorm.

23 Helmi 20134min

119: Capturing And Using Feedback Correctly

119: Capturing And Using Feedback Correctly

Candidates good through a lot of trouble finding practice partners and reaching out to current and former consultants. We do, however, find that despite all of this effort, they tend to be very weak at the manner in which they capture valuable lessons. There is far too little planning and it is largely a trial and error process. They reach out to 10 people hoping that at least 3 will provide great feedback and possibly 7 will provide some feedback. We find the best candidates have a list of items that they want assessed in the practice session and this rolling list is continuously being updated after every session.

17 Helmi 20134min

118: Math and Estimation Case Guidelines

118: Math and Estimation Case Guidelines

In this podcast we examine the performance of our clients to isolate best practices you can use in your own math calculations in cases. The best practices focus heavily on the types of math calculations where the candidate must structure an analyses approach, estimation cases, and is then either given data or must make assumptions to arrive at a final answer.

11 Helmi 20135min

117: Giving Interviewers Benefit of the Doubt

117: Giving Interviewers Benefit of the Doubt

This podcast is about the importance of you, the candidate, never ever giving the interviewer the benefit of the doubt, why this is vital, how to do this in a case and the improvement it will immediately deliver. The main value of adopting this mindset is that you tend to explain everything to the interviewer because you assume he is not aware of all the answers. If you enter an interview, assuming the interview is "perfect" you will tend to make assumptions which hurt your chances and damage your image.

5 Helmi 20138min

116: Confidence and Content Traps in Case Interviews

116: Confidence and Content Traps in Case Interviews

This podcast is about the impact of confidence on cases and the importance of avoiding the content trap. We use simple ratios to explain why you need to be confident and how the content-trap sinks many candidates. The content trap occurs when a candidate tends to have poor knowledge of the first principles of cases and rather relies on completing as many cases as possible in the hopes of memorizing all possible frameworks. This is a losing strategy since they are not learning how to solve cases.

30 Tammi 201310min

115: Important Case Interview Elements to Consider

115: Important Case Interview Elements to Consider

Analyzing customers, competitors and the market: 3 areas which must always be considered in cases, even when it is not clear why. In essence, all businesses exist to serve customers. A business cannot exist without customers and to understand demand you must understand customers. The ability to meet demand is impacted by competitors/substitutes and market barriers like legislation, inflation etc. Therefore, these three areas must be analyzed in cases where demand may be an issue.

24 Tammi 20139min

114: Start Math Problems From A Known Variable

114: Start Math Problems From A Known Variable

The importance of starting estimation cases from a known versus unknown variable cannot be underestimated. This may sound like a strange piece of advice, but makes a monumental difference on the ease of calculations and sanity-checking at the end. Moreover, simple probability theory indicates you dramatically increase your chances of getting a correct answer at the end if you begin your equation with a known variable.

18 Tammi 20135min

Suosittua kategoriassa Liike-elämä ja talous

sijotuskasti
mimmit-sijoittaa
rss-rahapodi
psykopodiaa-podcast
ostan-asuntoja-podcast
leadcast
oppimisen-psykologia
rss-lahtijat
hyva-paha-johtaminen
rss-rahamania
inderespodi
rss-neuvottelija-sami-miettinen
kasvun-kipuja
rss-bisnesta-bebeja
rss-seuraava-potilas
yrittaja
lakicast
raharesepti
rss-merja-mahkan-rahat
rss-paasipodi