What problem does it solve?
This playbook helps teams validate an offer pillar hypothesis by finding, recruiting, and interviewing the people closest to the pain so decisions are based on quantified signals rather than assumptions. It replaces scattershot outreach and anecdotal feedback with a repeatable discovery pipeline that produces a pain proximity map, target list, outreach plan, interview protocol, and a decision-ready synthesis.
Core Features & Use Cases
- Pain Proximity Mapping: Identify roles with the highest insight density and prioritize high-value interview targets.
- Target List & Outreach Plan: Build a 30–50 person target list across LinkedIn, conferences, vendor ecosystems, and consultants with channel-specific expected response rates and message templates.
- Interview Protocol & Extraction Templates: Standardized opening questions, probe sequences, post-interview extraction fields, and rules for rejecting low-quality signals.
- Signal Detection & Synthesis: Rules for identifying pillar-validating and pillar-killing signals, saturation rules, pattern analysis tables, and validation thresholds with explicit quality gates and a 3-interview stop rule.
- Use Case: Early-stage product teams, founders, or PMs who need to validate problem hypotheses, refine positioning, or determine willingness-to-pay before building.
Quick Start
Run stakeholder-discovery on the hypothesis "Product analytics teams at mid-market SaaS waste >8 hours weekly reconciling event data" to generate a pain proximity map, a 30-person outreach list, message templates, a 20-minute interview protocol, and a synthesis plan.
