pm-market-research
Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.
pinned to #18468a9updated 2 weeks ago
Ask your AI client: “install plugins/pm-market-research”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install plugins/pm-market-researchmetahub onboarded this repo on the author's behalf.
If you own github.com/phuryn/pm-skills on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
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Last commit
2 weeks ago
Latest release
published
- #agent-skill-repository
- #agent-skills
- #agentic-skills
- #claude-code-marketplace
- #claude-code-plugins
- #claude-cowork-plugin
- #product-management
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.18468a9· 2 weeks ago
Kind-specific
31Plugin: manifest fields complete
Plugin: bundled artifacts presentwarn
Couldn't find a skills/ subdir or an MCP server config inside the plugin
A plugin is most useful when it bundles ≥ 1 skill or an MCP server.
Plugin: bundle shape
empty bundle
Plugin: manifest location
manifest at plugin.json
Release history
1- releasecurrent18468a9warn2 weeks ago
Contents
Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.
Skills (7)
- competitor-analysis — Analyze competitors with strengths, weaknesses, and differentiation opportunities.
- customer-journey-map — Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities.
- market-segments — Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis.
- market-sizing — Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches.
- sentiment-analysis — Analyze user feedback data to identify market segments with sentiment scores, JTBD, and product satisfaction insights.
- user-personas — Create refined user personas from research data.
- user-segmentation — Segment users from feedback data based on behavior, JTBD, and needs.
Commands (3)
/pm-market-research:analyze-feedback— Analyze user feedback at scale — sentiment analysis, theme extraction, and segment-level insights./pm-market-research:competitive-analysis— Analyze the competitive landscape — identify competitors, compare strengths and weaknesses, find differentiation opportunities./pm-market-research:research-users— Comprehensive user research — build personas, segment users, and map the customer journey from research data.
Author
Paweł Huryn — The Product Compass Newsletter
License
MIT
Reviews
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mh install plugins/pm-market-research