Stop Reading Lean Startup Guides and Start Experimenting
Build-Measure-Learn is a rigorous process, not a bumper sticker.
By Tristan Kromer · Quick Answer: Stop reading about lean startup and start actually running experiments — now. Build-Measure-Learn is a rigorous process, not a bumper sticker or catchphrase. As product managers, we fall into the trap of endlessly consuming “ultimate guides” instead of doing the hard work of testing our riskiest assumptions through real experimentation. No article is a substitute for action.
Stop fucking around reading posts with titles like “The Ultimate Guide to Running a Lean Startup” and start running experiments…NOW. ‘nuff said…more on Build-Measure-Learn here (Credit to Jeana Alayaay for first witnessing and subsequently mocking the “Build-measure-learn-bro!” attitude.)
Frequently Asked Questions
What is the lean startup approach really about?
The lean startup approach is about running experiments, not reading guides or treating “Build Measure Learn” as a bumper sticker. As product managers, we need to stop consuming content about lean methodology and actually start testing our assumptions through real experimentation — now.
Is Build Measure Learn just a simple process to follow?
No. Build Measure Learn is a rigorous process, not a slogan. There’s a common “build-measure-learn-bro!” attitude where teams oversimplify it into a catchphrase without understanding the deeper methodology. As product managers, we need to treat it as a disciplined framework for learning, not a checkbox exercise.
Why do so many people get lean startup wrong?
Many people get the lean startup wrong because they spend too much time reading about it and not enough time doing it. They reduce it to surface-level concepts like “Build Measure Learn” without engaging in the hard work of actually designing and running experiments to validate their ideas.
How do I actually start with lean startup experiments?
Stop reading guides and start now. The core message is that no amount of “ultimate guide” consumption replaces the act of running real experiments. We learn by doing — pick your riskiest assumption, design a small test, and go.
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