From the course: Becoming a Product Manager: A Complete Guide
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Make decisions: The risk/difficulty square
From the course: Becoming a Product Manager: A Complete Guide
Make decisions: The risk/difficulty square
- Hey guys, welcome back. All right, let's talk product management strategy, as it relates to testing out your assumptions. Now as you remember, and as we have established MVP, it's just a technique for testing whether or not a new product or feature is going to be adopted by your user base or potential customers. Remember this? The next step, when you have a list of things you want to add, or test, or build is to break it down into assumptions and build hypotheses around them. That's where we're at right now. Now you have a list of everything you think, how do you decide which one you should direct your effort towards proving first? Well, we know which one is the riskiest, right? So wait, why don't we just jump right in to testing that? Well, it's complicated. And if you were an entrepreneur, I would say absolutely. The first thing you should do is just tackle the riskiest assumption you have. But as a product manager,…
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Contents
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What is an MVP?6m 37s
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How do product managers think about MVPs?6m 46s
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Seven steps to running an MVP experiment4m 11s
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Identify your assumptions7m 17s
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Follow along: Identify the assumption for Zirx6m 51s
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Find the riskiest assumption of them all5m 52s
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Make decisions: The risk/difficulty square5m 57s
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What is a hypothesis?3m 41s
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Put together a hypothesis7m 56s
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Follow along: Identify Zirx's hypothesis4m 14s
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What's a minimum criterion for success?8m 24s
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Create a formula for your MCS8m 18s
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Optional: Make the calculation for startups3m 18s
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MVP techniques: Emails, shadows, 404, and coming soon8m 39s
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More MVP techniques: Explainer, fake landing page, and pitch experiments7m 29s
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Even more MVP techniques: Concierge, piecemeal, and Wizard of Oz6m 33s
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Email based MVPs3m 27s
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Shadow buttons2m 31s
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404 and coming soon MVPs3m 42s
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Explainer videos5m 22s
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Piecemeal MVPs4m 35s
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Concierge service MVPs4m 20s
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Optional: How do big companies think about MVP experiments?5m 4s
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Evaluating results and learning from them4m 40s
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