Every study, call and ticket.
One count your whole company trusts.
You run the system that turns customer conversations into decisions. Evermuse processes every interview, sales call, support ticket and survey, then counts the needs across all of it, so stakeholders get cited answers without filing a request.
Where research ops gets stuck
The repository goes stale
Findings live in decks, docs and a tagging tool nobody updates. Six months later nobody trusts what's in it.
You're the help desk
Every PM, designer and exec asks your team to dig up what customers said. The queue never empties.
Nobody can say how many
Each study answers its own question. Nobody can count a need across every study, call and ticket at once.
How Evermuse runs your research system
Connect every source once
Interview recordings, sales and CS calls, support tickets, surveys, Slack and CRM notes flow in on their own.
Every conversation processed
Evermuse pulls out each need, groups the ones that mean the same thing, counts distinct customers and ties each to the account.
Answers anyone can use
Stakeholders ask in plain language in Evermuse, or from Claude, ChatGPT and Cursor over MCP. Every answer links to the quote.
What changes for your team
A living repository
One searchable library of customer evidence that keeps itself current. No tagging backlog.
Self-serve for stakeholders
PMs, designers and leaders find what customers said, with the source, without waiting on research.
Counts across every study
Ask how many participants raised a need across all studies and calls, not just the last one, and get the number with a clip for each.
Research in the room
When a spec or roadmap item cites customer evidence, it links straight back to the conversations your team collected.
Questions your stakeholders can answer themselves
Product
“How many customers raised onboarding friction this quarter, and which accounts?”
Design
“Show me every quote about the export flow from the last 90 days.”
Leadership
“What are enterprise customers asking for that they weren't asking for in Q2?”
Built for the people who run research
Governed
One shared workspace with roles and permissions. SOC 2 Type II and GDPR.
Cited
Every claim drills down to the exact words a participant or customer used.
Maintained for you
We run the pipeline, so it doesn't become another system your team supports.
FAQ
Can Evermuse replace our research repository?
For most teams, yes. Studies, calls and tickets live in one searchable place that stays current on its own. If you keep a repository for raw files, Evermuse can sit next to it as the layer people ask.
Do stakeholders need research training to use it?
No. They ask in plain language and every answer links to its source, so they can check the evidence themselves.
How is this different from a tagging tool?
Tagging tools need someone to tag. Evermuse processes every conversation as it arrives, groups the needs and counts distinct customers, so the counts are there without a tagging backlog.
Which tools can people ask from?
The Evermuse workspace, plus any MCP client: Claude, ChatGPT, Cursor and Codex.