What problem does it solve?
This Skill addresses the challenge of turning fragmented qualitative data—such as interview notes, support tickets, and survey responses—into actionable, evidence-backed product decisions without relying on subjective intuition.
Core Features & Use Cases
- Evidence Ledger: Normalizes raw signals into a structured, filterable ledger with confidence scoring and source attribution.
- Opportunity Matrix: Provides a quantitative framework to score potential solutions based on evidence strength, user pain, business leverage, and implementation risk.
- Decision Memo: Generates a concise, one-minute read artifact that includes recommended moves, risk assessments, and experiment queues.
- Use Case: A product team struggling to decide between adding an onboarding checklist or inline tips can use this Skill to synthesize 50+ pieces of user feedback into a clear, testable experiment plan.
Quick Start
Synthesize the provided interview notes and support tickets into a research decision room artifact for the current product scope.