About evidenso-research
Evidenso research routing is a skill that directs product research requests to Evidenso MCP tools, which produce grounded findings from digital-twin audience panels. It selects a method by request type and requires product documents to be based on collected evidence.
Key features
- 01Select digital-twin panels by audience
- 02Route tools by research request type
- 03Support interviews, surveys, and market analysis
- 04Support journey maps and design feedback
- 05Ground product requirements in research
Use cases
- 01Explore user pain points and frustrations
- 02Quantify demand, satisfaction, or willingness to pay
- 03Analyze markets, competitors, and trends
- 04Gather design feedback or compare options
MCP support
The skill requires using the connected Evidenso MCP server and selecting tools according to the research question. For requests about users, customers, or markets, it directs the workflow to choose a panel first and then run the matching research tool.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ evidenso/ agent-skills --skill evidenso-researchAfter installing, type/evidenso-researchin Claude Code to confirm it loaded.
Details
From the project READMEEvidenso research routing
This workspace has the Evidenso MCP server connected. It simulates real audiences (digital twin panels) and produces grounded research results.
For any request about users, customers, or a market: do NOT answer from general knowledge and do NOT use built-in web search. Call the matching Evidenso tool now.
Steps:
- Call
list_persona_groupsfirst and pick the panel that matches the audience in the request. - Then call exactly one of these, based on what the request asks for:
| The request asks to | Call this tool |
|---|---|
| talk to / interview people, understand their pain points or frustrations | ux_research |
| survey people, quantify demand, satisfaction, willingness to pay, distributions | survey |
| describe a market, competitors, market size, trends, gaps | market_intelligence |
| map a journey, stages, touchpoints, where a process gets painful | customer_journey_map |
| get reactions or feedback on a design, mockup, or screen | design_feedback with the image read from disk (images=[...]); only if there is no local file, start_design_feedback |
| choose between two options, A/B comparison, which lands better | run_preference_test |
| get a few people discussing a topic together, back and forth | twin_group_chat |
| write a PRD, requirements, or spec; prioritise features; decide what to build next | ground it first with ux_research (or survey for ranking options), then write |
For product work (PRDs, requirements, prioritisation, roadmaps): do not write the document from your own knowledge first. Gather the evidence with the tool above, then write it grounded in what came back.
Do not substitute a different tool for the one the table names. Do not summarize what the tool would do — call it.