McKinsey Case Interview Practice #1: Non-Profit Case

This McKinsey case interview practice case is a non-profit case with an atypical business problem. However, many of the strategies and frameworks used in this case can be applied to McKinsey first-round and final-round interviews. In order pass consulting interviews and land a consulting job offer, it is critical that you practice and master these case interview strategies and frameworks.

[rishirajsengupta]

Interesting case, got a different perspective than the usual profitability, market sizing etc. problems

[CimolOk-nzyj]

🎯 Key points for quick navigation:

00:00 *🎥 Introduction to McKinsey Case Interview*
- Overview of McKinsey case interview format and objectives,
- Introduction to the Gates Foundation's goal for financial services in rural Mexico.
02:18 *🏦 Gates Foundation's Objective and Case Summary*
- Description of the situation in rural Mexico,
- Introduction to the potential solution using the Daikonza network for financial services.
03:01 *🔍 Key Investigation Areas for Daikonza Network*
- Four key statements for evaluating the feasibility of using the Daikonza network,
- Details on residents' needs, government's needs, Daikonza’s capabilities, and strategic alternatives.
04:09 *💸 Cost Savings Calculation*
- Step-by-step approach to calculating cost savings for families using Daikonza stores,
- Calculation of total annual savings across Mexican rural families receiving state benefits.
06:43 *📊 Survey Results and Regional Analysis*
- Summary of survey responses from different regions regarding the new financial services,
- Observations on security concerns, perceived time savings, and regional differences in sentiment.
09:12 *🛡️ Addressing Concerns from State Bank Representatives*
- Challenges of educating rural populations and dealing with crime,
- Short-term and long-term solutions for improving education and security in banking services.
11:03 *📋 Potential Recommendation and Next Steps*
- Suggested recommendation to leverage Daikonza network in region A,
- Supporting reasons for the recommendation and suggested next steps for implementation.

Made with HARPA AI

[Bellarue]

The most excellently done case I’ve come across. Thank you!

[nandakumar]

bro is structured to the very end. so good. hopefully I get there.

[shubhamrathore]

For recommendation part, the amount of saving would be 150 M since as we are making recommendation by focussing on region A, the total saving cost will be divided by three.