Dovetail stores what users said. Pathmode defines what you will do about it.
Customer Insights Platform
Store, tag, and analyze all your research.
Intent Engineering Platform
Compile user friction into structured specs for your team and your agents.
| Feature | Pathmode | Dovetail |
|---|---|---|
| Core Philosophy | Action (Evidence → Intent → Ship) | Storage (Tag & Search & Summarize) |
| AI Capabilities | Synthesis (Creates IntentSpecs) | Summarization & AI Operators |
| Output | Structured IntentSpecs for agents | Themes, Reports & Jira tickets |
| Primary User | PMs, Engineers & Designers | User Researchers |
| Research → Action | Evidence → Intent → MCP export | Theme → Jira ticket (shallow) |
| Agent Integration | MCP server + CLAUDE.md | None |
Dovetail — Store, tag, and analyze all your research.
Limitation: Pivoting to 'AI Operators' (Resolver, Synthesizer), but moves from Theme → Jira Ticket. Pathmode moves from Theme → IntentSpec → Solution Design. Our spec layer is richer than a ticket description.
Pathmode — Compile user evidence into structured IntentSpecs, deliver context to AI agents via MCP, and verify real-world impact when features ship.
See why product teams choose Pathmode for intent engineering.
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