Mastering Decision-Making Frameworks

This chapter explores a structured four-step decision-making process, emphasizing the importance of weighing options and calculating expected value. Through personal examples and insights from major companies, it advocates for a methodical approach over intuition, empowering listeners to clearly evaluate their choices.

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Most of us were never taught how to make life’s biggest decisions — not in school, not in our first jobs. At Stanford GSB, we learned frameworks that rewired how we think about careers, relationships, and life itself.

This episode is Part 2 of our most downloaded series (“Everything We Learned at Harvard & Stanford”), where we break down three powerful tools from Stanford Business School and show you how to apply them — with real company case studies and mini exercises you can try right now.

We share:

✅ Jobs to Be Done — why people really “hire” products (LinkedIn, Netflix, Sisters Matcha)

✅ Mini exercise: uncover what people are hiring you for at work

✅ Decision Trees & Expected Value — how billion-dollar companies (and you) make better choices without spiraling

✅ “I may be wrong, but I’m not confused” — a decision-making mindset shift

✅ A 4-step method to evaluate job offers, entrepreneurship, or any life pivot

✅ Life as a Product Roadmap — how to use OKRs (Objectives & Key Results) to prioritize what matters

✅ Real examples of health, fitness, and creativity OKRs — and how accountability helps you follow through

🐯👯‍♀️ We’re the Tiger Sisters — Your Wall Street & Silicon Valley big sisters

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✨ New episodes every Monday | Shorts all week ✨

🎯 Sponsored by mbaMission, the #1 MBA admissions consulting firm (Poets&Quants).

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⏰ Timestamps

00:00 Why no one teaches you decision-making

00:15 The 6-part Harvard & Stanford series

01:56 Framework 1: Jobs to Be Done

02:52 LinkedIn + Sisters Matcha case study

04:10 Mini exercise: What are you “hired” for?

05:37 Framework 2: Decision Trees & Expected Value

06:31 Real example: job offer vs. entrepreneurship

07:49 Case studies: Netflix, Amazon, VC firms

09:23 “I may be wrong, but I’m not confused” mindset