Designed to Learn
summary
Reframes MVP as a process to minimum effort to learn rather than a first release, shows a real experiment: add a KoalaRoom JS prompt on exit, collect 5,000 responses in two weeks, discover 33% of visitors can’t find the menus, replace the hamburger with a visible menu and nearly hit the acquisition goal. Cites Amazon’s 1 in 20 experiments success rate, uses examples that scale (Airbnb photo tests, High Fly leased routes, GiveVision prototyped on an Android phone), and drives product strategy from a target condition of measurable learning.
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chapters (30)
- 0:00Introduction
- 1:00Agile TD
- 3:32Testing Product Ideas
- 6:12MVP
- 6:32MVPs
- 7:54MVP horror stories
- 8:39Research
- 9:14Risk
- 9:43Features
- 11:30Goals
- 12:24Questions
- 13:15Experimentation
- 13:44Product Market Fit
- 17:06User Research
- 20:02Menus
- 21:01The Problem
- 22:19Product Strategy
- 23:33Unified Field Theory
- 24:22Target Condition
- 27:53HighFly
- 30:56Amazon Echo
- 32:20Give Vision
- 33:45Get an investment
- 34:25Value
- 35:06Messy
- 37:20Cost of Delay
- 38:00Iterating
- 38:29Agile doesnt have a brain
- 38:55Dream
- 39:08Dont use MVP
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