The central customer-knowledge platform
Run every study. Build a living insight repository. Connect over MCP to every tool you use — and put customer knowledge to work for people and for agents.
Run
Every study type
Store & Align
Living repository
Distribute
Agents & teams
What makes Usedge different
Six things every visitor should be able to name after one scroll.
One platform, not a stack
Qual and quant in one workspace — no imports, no copy-paste. Clean, connected data from the moment a session ends.
A repository that compounds
Atomic, searchable insights with AI that detects 91% overlap and suggests merges. Research stops being lost or duplicated.
Built for agents, not just people
Chat your repository in plain language. Run standing agents. Chain pipelines from a gap to booked session — zero handoffs.
The central knowledge hub
Connect over MCP to any tool, database, or dataset. One source of truth — the more you connect, the more it compounds.
A governed panel
Your participant panel, segment-orchestrated and GDPR-grade — delete personal data while preserving research contributions intact.
Rigor + speed, enterprise-ready
Validated protocols, methodology scoring, EU-hosted infrastructure — quality at scale, safe for democratized research.
Every study, one workspace
Qualitative for depth, quantitative for scale — no tool-switching, no imports. Clean, connected data from the moment a session ends or a dataset lands.
Qualitative
Quantitative
Research that compounds
Every insight is atomic, searchable, and reusable — tagged, linked to its source session, ready to resurface in the next project. AI detects when findings overlap and surfaces merge suggestions, so nothing is ever duplicated or lost.
Users abandon checkout when the total isn't visible before the payment step.
Merge suggestion — 91% overlap
This insight overlaps with “Users need price transparency before committing” from the Apr 2025 discovery sprint. Merge into one canonical insight?
The central customer-knowledge platform
Usedge sits at the center — connected over MCP to any tool, database, dataset, or integration. Research flows in from every source. Insights flow out wherever teams and agents work.
Connect anything → one source of truth → a pure way to build scalable knowledge. The more you connect, the more it compounds.
Knowledge flows in
Connect research tools, CRMs, analytics, support tickets, app reviews, social feeds, and internal datasets. Every signal feeds one repository — automatically.
Insights flow out
Teams ask questions in Slack or Claude. Agents pull context into any workflow. Product, support, and sales all work from the same customer truth.
No silos. No copy-paste.
A pure way to build scalable knowledge: the more tools you connect, the richer your repository becomes — without any manual upkeep.
Built for agents, not just people
Chat your entire repository in plain language over Slack, Teams, or Claude. Set standing agents that watch every new study and surface relevant insights automatically. Or chain agents into a full pipeline — from a knowledge gap to booked sessions, zero manual handoffs.
MCP chat
Ask anything about your customer knowledge in Slack, Teams, or Claude — instant, cited answers from your full repository.
Standing agents
Watch every new study and insight. Alert the right team the moment something relevant surfaces — no manual monitoring.
Agent chains
Pipelines that run start to finish — from a research gap to a booked session — without a single manual handoff.
Agent chain — zero manual handoffs
Insights browser
Scans repository for knowledge gaps
Study generator
Designs the right study for the gap
Protocol designer
Writes validated research questions
Guardian
Checks methodology and rigor
Sessions programmer
Books participants automatically
Panel — Automated distribution
GDPR deletion request processed
Personal data for participant #4821 deleted across 6 sessions. Research contributions anonymized and preserved in the repository.
A governed panel
Your participant panel, orchestrated by segment and persona — with GDPR-grade governance built in from day one. Delete a participant's personal data while keeping their anonymized research contributions intact in the repository.
- Automated, segment-based distribution — right participants, right study, automatically
- GDPR Article 17 compliance — personal data deletion without losing research contributions
- Participant history across all studies — richer context, less recruitment bias
- Consent management and re-consent workflows built in
Why Usedge — not another point tool
The question isn't whether you do research. It's whether it compounds into institutional knowledge — or evaporates after every sprint.
Central hub, not a stack
Usedge replaces a fragmented collection of research, storage, and distribution tools with one connected platform that gets richer as you add to it.
For people and agents
The same repository that answers a researcher's question in Slack trains the agents that run your next study automatically — one source of truth for both.
Rigor at enterprise scale
EU-hosted, GDPR-compliant, ISO-aligned — built so research can be democratized across teams without sacrificing methodological quality.
Where research becomes institutional knowledge
See how research teams move from question to compounding insight — without switching tools or losing findings.