Guides product development using Build-Measure-Learn cycles to design MVPs and achieve validated learning.
The Lean Startup skill empowers Claude to apply scientific management principles to the product development process, focusing on minimizing waste and maximizing learning. It helps teams navigate the Build-Measure-Learn loop by starting with learning objectives, identifying leap-of-faith assumptions, and designing the most efficient Minimum Viable Product (MVP) to test hypotheses. Whether you are deciding between a pivot or perseverance, or trying to move beyond vanity metrics to innovation accounting, this skill provides a structured framework for evidence-based decision-making and sustainable growth.
Key Features
01Validation Ladder assessment to measure evidence strength
02Innovation accounting and actionable metric framework implementation
03Identification and prioritization of leap-of-faith assumptions
04214 GitHub stars
05MVP design patterns including Concierge, Wizard of Oz, and Smoke tests
06Build-Measure-Learn loop planning and optimization
Use Cases
01Defining the minimum scope for an MVP to test a core value hypothesis
02Designing validated learning experiments to test market demand before full-scale development
03Analyzing cohort data and conversion funnels to decide whether to pivot or persevere
