What problem does it solve? Teams facing multiple competing problems, stakeholder asks, or project ideas often pick the loudest voice or the most interesting build instead of the highest-value problem. This Skill forces an honest, evidence-based ranking so exactly one problem earns protected time before anything enters a roadmap. ## Core Features & Use Cases - Bottom-up opportunity sizing: Sizes every candidate from defensible counts (people affected × share hit × value lost), expressed as ranges with S/M/L classes — top-down TAM math is banned. - Risk-reward quadrant placement: Every candidate lands in a named quadrant cell with specifically named risks (time burn, wrong-problem risk, compounding loss) in both acting and not-acting directions. - Milestone anchoring and feasibility check: Nothing floats without a named outcome + number + date, and a capacity check (estimate ≤ available hours × 0.8) runs before any recommendation. - Use Case: A studio owner with 5 hours per week must choose between a website redesign, early-member churn, and unused class spots. The Skill sizes churn at $2.5k–4.5k/month, anchors it to the break-even milestone, verifies it fits capacity, and recommends it while deferring the redesign. ## Quick Start Ask the AI to identify and rank which business problem to solve first from your list of competing problems, stakeholder asks, or project ideas.
