The operating layer for research at scale.
Governance, reuse, and democratization without chaos. Usedge gives ReOps teams the infrastructure layer to standardise intake, scale contributors safely, keep the repository alive, and prove research ROI to leadership.
Research OS
Q2 liveReOps maturity
Level 3 — DefinedAd hoc
Developing
Defined
Managed
Optimised
Recent
Protocol approved
Product · Mobile onboarding
Repository deduped
Taxonomy Manager agent
New contributor onboarded
Design · Growth team
91%
Studies via templates
3.2 days
Avg time-to-fielding
Trusted by enterprises that can't afford research slop
The problems ReOps teams solve
Infrastructure gaps at scale
ReOps exists to solve problems that don't show up until research grows. By then, the damage to quality and reuse is already compounding.
What works for 5 researchers breaks at 50
Informal knowledge-sharing, ad-hoc tagging, and one-person repositories hit a wall. Scaling without structure means every new team restarts from zero.
The repository becomes a graveyard
Studies are filed and forgotten. Nobody searches before starting new research. Duplicate work and contradictory findings erode trust in the whole research function.
Participant management is an operational nightmare
Recruiting, scheduling, GDPR consent, panel health, incentives, and re-contact limits are managed across spreadsheets and email threads nobody else can decipher.
Democratization creates new risk
Enabling product managers and designers to run their own studies is the goal — but without guardrails, methodology weakens, bias creeps in, and the repository fills with low-quality evidence.
ROI of the ReOps function is invisible
Leadership approves the function on faith. Connecting a research investment to product revenue, churn reduction, or satisfaction improvement requires evidence that most ReOps teams can't quickly produce.
ReOps maturity metrics
Demand, Engagement, Quality — tracked
Usedge moves ReOps teams to Level 3 "Defined": standardised intake, active democratisation, a repository that's actually reused, and ROI you can report.
Studies / quarter
DemandAcross all teams using the platform
Active contributing teams
EngagementNon-research teams self-serving safely
Methodology quality score
QualityProtocol Evaluator gates every new study
Repository reuse rate
KnowledgeInsights found before re-researching
Avg time-to-fielding
OperationsIntake to live study with templates
Studies via templates
GovernanceDemocratised contributors gated by standards
How Usedge helps
Infrastructure that scales with your research program
Usedge replaces the fragmented tool stack with a governed operating layer that keeps quality consistent as contributors grow from five to fifty.
One platform, not a fragmented stack
Replace the combination of recruiting tool, transcription service, tagging spreadsheet, and shared drive with a single governed platform. Every study, every insight, every participant — in one place.
Validated protocols gate every study
Standardised intake templates enforce methodology before a study goes live. The Protocol Evaluator agent reviews studies against your defined practice — democratised contributors stay inside the guardrails.
A repository that gets reused
The Repository Curator agent continuously dedupes, clusters, and surfaces relevant insights before new research begins. The graveyard becomes a living knowledge base — search before you study.
Participant workflows that scale
Panel recruitment, scheduling, consent management, incentive tracking, and re-contact limits — automated and governed. ReOps maintains one panel health view across all teams and all studies.
Infrastructure layer
The full Research OS — end to end
From the first research request to a reusable insight in the repository, every step is governed, AI-assisted, and connected. One infrastructure layer, not six separate tools.
Intake
Triage & prioritisation
Standardised intake form gates all requests. Triage agent qualifies and prioritises.
Protocol Builder
Standards & guardrails
Validated templates, methodology guardrails, Protocol Evaluator agent review.
Studies
Moderated · unmoderated · quant
Every study method in one place. Consistent output format regardless of contributor.
Insights Repository
Governed institutional memory
The living knowledge base. Searchable, deduplicated, taxonomy-governed. Reuse before re-research.
Research Agents
Consistency at scale
Taxonomy Manager, Repository Curator, Protocol Evaluator — running continuously across every contributor.
Integrations & Governance
Teams, tools, reporting
Route findings to Slack, Jira, Notion. Report Demand/Engagement/Quality to leadership.
Intake
Triage & prioritisation
Standardised intake form gates all requests. Triage agent qualifies and prioritises.
Protocol Builder
Standards & guardrails
Validated templates, methodology guardrails, Protocol Evaluator agent review.
Studies
Moderated · unmoderated · quant
Every study method in one place. Consistent output format regardless of contributor.
Insights Repository
Governed institutional memory
The living knowledge base. Searchable, deduplicated, taxonomy-governed. Reuse before re-research.
Research Agents
Consistency at scale
Taxonomy Manager, Repository Curator, Protocol Evaluator — running continuously across every contributor.
Integrations & Governance
Teams, tools, reporting
Route findings to Slack, Jira, Notion. Report Demand/Engagement/Quality to leadership.
Governance at every step
ReOps controls who can run what, with what templates, within which guardrails. Permissions, audit logs, and quality gates are embedded in the workflow — not bolted on afterward.
Connect your research stack
Research agents
Agents that keep quality consistent at scale
Four agents run continuously across every contributor, every study, and every insight — enforcing standards that would otherwise require a full-time human reviewer.
Study lifecycle pipeline
Step 1 — Intake
Intake / Triage Assistant
Qualifies incoming research requests against the standardised intake criteria. Prioritises by urgency, strategic value, and existing repository coverage — flags duplicates before a study is even commissioned.
Step 2 — Pre-study
Protocol Evaluator
Reviews the study protocol against your methodology standards before it goes live. Catches bias, missing screeners, and weak questions. Acts as a scalable peer-review layer for democratised contributors.
Step 3 — Post-study
Repository Curator
After each study completes, deduplicates insights against existing evidence, clusters related findings, and updates cross-study patterns. Keeps the repository a living knowledge base instead of an archive.
Always-on governance agent
Continuous — Quality
Taxonomy Manager
Monitors tag usage across all contributors and all studies. Flags drift (synonyms, inconsistent hierarchies, orphaned tags), suggests merges, and enforces the agreed taxonomy structure. Keeps knowledge findable as the repository scales.
Why Usedge
An infrastructure layer, not another point tool
ReOps teams don't need another standalone tool. They need the OS that connects everything, enforces standards, and keeps the knowledge alive.
| Capability | Usedge | Fragmented stack |
|---|---|---|
| Full infrastructure layer: governance + repo + agents + quant/qual | Point tools; no unified layer | |
| Agentic consistency across hundreds of contributors | Manual review doesn't scale | |
| Protocol guardrails gating democratised studies | Open access; no standards enforcement | |
| Repository Curator preventing knowledge graveyard | No active curation; stale data accumulates | |
| Demand / Engagement / Quality metrics for leadership reporting | No ReOps ROI dashboard | |
| EU-hosted, GDPR & ISO 27001 compliant (Q4 2026) | US infrastructure; compliance varies |
Example scenario
"Scaling from 5 to 50 — without losing rigor"
How Usedge takes a research function from fragile to governed as it grows across an organisation.
The problem
5 researchers → scaling to 50 contributors
The research function is growing fast. Product managers, designers, and CX team members all want to run studies. The risk: quality fragments, the repository fills with noise, and nobody trusts the insights.
Standardise, scale, prove
Three steps from ad-hoc to governed research infrastructure.
Step 1
Standardise intake and protocols
Every research request enters through a governed intake form. Validated templates and the Protocol Evaluator agent ensure every study — whether run by a researcher or a product manager — meets your methodology standards.
Step 2
Scale contributors safely
Product managers, designers, and CX teams self-serve within guardrails. Agents review their protocols, enforce your taxonomy, and flag methodology issues before studies launch — rigor maintained without a manual review bottleneck.
Step 3
Prove research ROI
The Demand / Engagement / Quality dashboard gives ReOps leads the numbers leadership needs: studies run, teams contributing, reuse rate, and research tied to product revenue, retention, and satisfaction. The function becomes unmissable.
Build the infrastructure that scales research across your organisation
See how ReOps teams use Usedge to move from fragmented stacks to a governed, AI-assisted research OS — without losing rigor at scale.