From the course: Becoming a Product Manager: A Complete Guide
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Seven steps to running an MVP experiment
From the course: Becoming a Product Manager: A Complete Guide
Seven steps to running an MVP experiment
- Hey guys, welcome back to the course. Alright, so now you are pretty much up to your neck in information about how PMs look at MVPs, and what they are from an academic sense. You understand now that MVPs, they change depending on the size of the organization because organizations have vastly different amounts of resources to work with. So in the next set of lectures in this section, we're going to go down step by step, the process that a product manager would take to come up with an MVP experiment and run it, and then learn from it. And I'm going to explain briefly how the general flow of an MVP experiment is going to go. There are seven steps and we'll start with the first one. The first step in running an MVP experiment is just figuring out what exactly your problem and solution set is. We're not going to jump on this in this section because you should have done that in the last two sections, where we talked about…
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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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