Agent skill · product strategy · erichowens
product-appeal-analyzer
Evaluate product desirability, market positioning, and emotional resonance—the complement to friction analysis. Assess whether users will WANT a product (not just use it), identity fit, trust
Why this skill is useful
Provides a structured framework for evaluating product desirability and emotional resonance that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-07-14. 180 stars on the source repository.
What this skill does
Product Appeal Analyzer Evaluate whether users will want a product—not just use it. The complement to friction analysis. Core insight: Users don't choose the best product—they choose the product that feels most like it was made for them. When to Use ✅ Use for: Evaluating landing pages, product pages, app store listings Positioning a product against alternatives Crafting messaging, tone, visual identity direction Assessing emotional resonance with target personas Pre-launch "will this convert?" analysis ❌ NOT for: UX friction audits (→ use ux-friction-analyzer) Visual design execution (→ use web-design-expert) A/B test implementation (→ use frontend-developer) Market size estimation or financial forecasting Feature comparison matrices --- The Desirability Triangle All three must be present. Missing any one kills conversion: Missing Element User Reaction ----------------- --------------- Identity Fit "Seems useful, but not for me" Problem Urgency "Cool, maybe someday" Trust Signals "Looks sketchy / too good to be true" Decision tree: When analyzing, score each vertex 1-10. If any is <5, that's your priority fix. --- Quick Analysis: The 5-Second Test Within 5 seconds of landing, a visitor should know: 1. What is this? (Category recognition) 2. Who is it for? (Identity signal) 3. What's the core promise? (Value proposition) 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills erichowens/product-appeal-analyzer