From the course: Becoming a Product Manager: A Complete Guide
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Put together a hypothesis
From the course: Becoming a Product Manager: A Complete Guide
Put together a hypothesis
- Hey, guys, welcome back. Let's dive into creating some hypotheses based off of the assumptions we've previously listed out. Remember what goes into one of these, right? No, you don't actually remember? Well, let me tell you because I only alluded to it before in the previous lecture, and you probably only heard it if you were paying really close attention. Pat yourself on the back if you know what I'm about to say. The biggest difference between an assumption and a hypothesis is that a hypothesis is actionable. How exactly is it actionable? Well, because it has specifics. We define a target group, we're going to define an expected outcome of our test, and we might even dabble with details like why we expect our subjects to do something or how we plan to get them to do it. So target group, potential problem, an action, and potentially even an expected outcome. So we'll try writing out some of these…
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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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