What problem does it solve? Projects often start from a stakeholder's solution ("build a chatbot", "redesign the homepage") with no agreed statement of the underlying problem, leading to unbounded discovery, scope creep, and research that enables no decision. This Skill gates every project kickoff by producing one solution-free problem statement plus a scoped, timeboxed discovery plan. ## Core Features & Use Cases - Solution-to-problem laddering: Captures the raw ask verbatim, parks every solution idea in an attributed Icebox, and ladders up with "what does that solve, for whom, and how do we know?" until an observable problem is found. - Evidence audit and lint checklist: Labels the statement Evidenced or Hypothesis (under-evidenced), then enforces a checklist covering single-problem focus, zero solution words, named user segment, and a Goldilocks altitude test. - Discovery scoping: Derives 2-4 discovery goals, 3-5 team-facing research questions, a timebox with end date, an exit decision, and out-of-scope lists; optionally maps product seams when the statement feeds a build spec. - Use Case: A salon owner asks for an AI chatbot. The Skill iceboxes the chatbot, ladders to the real problem (prospective clients can't reach anyone by phone during service hours), flags the missed-call estimate as under-evidenced, and outputs a two-week discovery plan with a go/no-go exit decision. ## Quick Start Ask the AI to write a problem statement and scoped discovery plan for your project kickoff, starting from the stakeholder's raw request.
