What problem does it solve? High-stakes decisions like price increases, product launches, and feature cuts are often made by guessing how customers will react. This Skill puts your actual buyer personas in the room, running a structured debate so you see objections, segment-level fallout, and a clear recommendation before you commit. ## Core Features & Use Cases - Persona-grounded debate: Loads a persona library (from icp-deep-scanner or connected data sources) and seats 3-6 relevant personas who argue in character from their real goals and pains. - Structured decision synthesis: Returns a GO / GO WITH CHANGES / NO / TEST FIRST recommendation, a per-persona vote table, ranked objections with blast radius, and the cheapest experiment to de-risk the biggest unknown. - Honesty guardrails: Read-only data connections, no real customer PII in output, and provisional panels are loudly labeled when not grounded in customer data. - Use Case: Before raising prices 20%, run the panel to learn which segments churn, which accept it, what objection will dominate, and what concession flips a NO to a YES. ## Quick Start Run the customer panel on this decision: should we raise our Pro plan price by 20% next quarter?
