Designs Build-Measure-Learn experiments to validate product assumptions with YAML-defined metrics.
npx skills add https://github.com/tillysoso/mv1 --skill lean-startup-tillysoso
Please help me install this Agent Skill. Skill: lean-startup Source: https://github.com/tillysoso/mv1/tree/main/.claude/skills/lean-startup Command: npx skills add https://github.com/tillysoso/mv1 --skill lean-startup-tillysoso
Validate assumptions quickly by applying Build-Measure-Learn loops to learn what customers actually want, without overbuilding.
Run a minimal Build-Measure-Learn loop to validate the riskiest assumption about your MVP before full development.
High-intent search queries and answers about installing and using this skill.
To validate MVP assumptions, run a minimal Build-Measure-Learn loop to test your riskiest hypothesis with lightweight experiments, ensuring you learn what customers actually want without overbuilding.
Validated learning tests your riskiest product assumptions through rapid experimentation to measure progress. It directly evaluates product-market fit by using measurable data to decide whether to pivot or persevere.
You decide to pivot or persevere after completing a Build-Measure-Learn cycle. Use the measurable data gathered from your experimentation to determine if your current strategy is achieving validated learning and product-market fit.
The best way to design a minimal experiment is applying the Build-Measure-Learn loop. Build a lightweight test targeting your riskiest assumption, measure the results, and learn whether to pivot or persevere before full development.
Yes, measurable data is required. The Build-Measure-Learn loop depends on quantitative metrics from your experimentation to facilitate validated learning and accurately guide your decision to pivot or persevere.
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