What problem does it solve? Traditional UX processes waste months producing heavy deliverables built on untested assumptions. This Skill replaces documentation-heavy design with hypothesis-driven experiments, collaborative design sessions, and continuous lightweight research so teams learn from real user behavior before over-investing. ## Core Features & Use Cases - Assumption Mapping & Hypothesis Statements: Declare business and user assumptions explicitly, prioritize by risk and uncertainty, and convert them into testable hypotheses with pre-committed success criteria. - MVP Experiments & Collaborative Design: Choose the lowest-fidelity experiment (paper prototypes, smoke tests, Wizard of Oz) to validate ideas, and run Design Studio sessions where cross-functional teams sketch solutions together. - Continuous Research & Agile Integration: Embed weekly usability testing into every sprint and run dual-track agile so discovery feeds delivery one sprint ahead. - Use Case: A product team kicking off a new feature uses this Skill to run a 30-minute assumption mapping workshop, write a hypothesis ("We believe trial-to-paid conversion will increase 10% if new users complete a guided setup wizard"), test a clickable prototype with five users, and score the process against the 10/10 Lean UX rubric. ## Quick Start Ask the AI to help you write a Lean UX hypothesis statement and design the smallest experiment to test your riskiest product assumption.
