From the course: Becoming a Product Manager: A Complete Guide
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Follow along: Identify the assumption for Zirx
From the course: Becoming a Product Manager: A Complete Guide
Follow along: Identify the assumption for Zirx
- Hey guys, welcome back to the course. Hey, I totally lied at the end of the last lecture. We're actually going to just jump in and start working with the real example. And then go over what are some example assumptions that we can think of for this product. Yes, I know I lied, you'll get over it. I'm over it already, let's start. All right, so for our example, we're going to use a service that is somewhat well-known in the San Francisco Bay Area. It's not really outside of New York and San Francisco, I think right now. It might be in Chicago and Boston. But it's enough of an idea that's a little bit out there that we can come up with some assumptions relatively easily It's a good example to use. So the example is called Zirx. It's Z-I-R-X. And what they do is that they build a mobile app that allows you when you are driving your car to hail an on-demand valet person who picks up your car and then takes it to storage.…
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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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