# Product Opportunity Mapping

> Systematically scan cultural, platform, and behavioral shifts to find high-leverage consumer opportunities before committing to builds.

- Skill: `tjboudreaux/product-opportunity-mapping` (Agent Skill)
- Install (CLI): `npx skillmds@latest add tjboudreaux/product-opportunity-mapping`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tjboudreaux/product-opportunity-mapping/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tjboudreaux (https://skillmd.com/u/tjboudreaux)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tjboudreaux/product-opportunity-mapping

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# Opportunity Landscape Mapping

## Intent
- Detect emerging wants, friction points, and timing windows across consumer categories, platforms, and geographies.
- Translate diffuse signals into crisp problem statements and opportunity theses.

## Inputs
1. Macro trend library (culture, tech, regulatory, commerce, creator economy, web3, gaming).
2. Behavioral data: search terms, app store reviews, social chatter, marketplace data, support tickets.
3. Jobs-to-be-done interviews or transcripts.

## Workflow
1. **Frame the arena**
   - Define target segment, contexts of use, and competing alternatives.
   - Capture constraints (distribution, tech stack, platform rules).
2. **Signal harvesting**
   - Pull at least three independent data sources (quant + qual).
   - Tag signals by magnitude (market size), urgency, and underserved intensity.
3. **Opportunity scoring**
   - Score each thesis on desirability, feasibility, timing, and strategic fit (0–5 scale).
   - Highlight contrarian or under-served jobs with high desirability but low current satisfaction.
4. **Narrative articulation**
   - Produce a one-page brief: user tension, evidence, why-now drivers, first wedge.
   - List unknowns that require experiments vs. desk research.

## Verification
- Ensure each opportunity thesis cites at least two evidentiary sources.
- Review scores with a peer strategist or PM for bias.
- Archive briefs in shared knowledge base for reuse.