Evidence at the speed of product.
PMs and product designers need answers before the sprint ends, not after. Usedge gives teams validated protocol templates, instant AI analysis, and quant+qual in one place, so decisions are grounded in evidence, not shipped on gut.
Checkout conversion funnel
Order total hidden until payment screen: 63% of testers stopped here
Trusted by enterprises that can't afford research slop
Why product teams ship on gut
Not because they want to. Because the alternative (waiting weeks for research) is incompatible with how product teams actually work.
Cycles accelerate; research can't keep up
Product ships on two-week sprints. Traditional research takes four to six weeks. So teams default to gut instinct, competitive benchmarks, and one-pager assumptions, finding out they were wrong after launch.
Research is a bottleneck owned by one team
PMs and designers can't self-serve safely. Every question goes through the research team. The research team is at capacity. By the time an answer arrives, the decision has already been made.
Roadmap decisions aren't traceable to evidence
Asked to justify a prioritization call, most PMs point to a Confluence page that cites a slide that summarized a study nobody can find. There is no chain from claim to evidence.
Quant tells you what dropped; no one has time to find why
Analytics shows checkout conversion fell 8%. That's the signal, not the diagnosis. Getting from metric to root cause requires a research cycle most product teams can't afford mid-sprint.
Democratizing research creates quality risk
When PMs run their own studies without guardrails, methodology suffers. Leading questions, biased participant pools, and unreplicable designs produce findings teams can't defend to stakeholders.
The metrics that move when teams have evidence
Evidence-led product decisions compound: faster cycles, higher adoption, fewer rework sprints.
Time to insight
Unmoderated test → AI-analyzed findings, same week
Feature adoption lift
Features shaped by validated research vs. gut calls
Roadmap decisions backed
Traceable from claim to study to participant
Task success rate
Usability fixes validated before and after release
Team velocity gain
Evidence upfront prevents costly post-launch pivots
Churn reduction
Retention insights surfaced from qual + quant signals
Research that moves at product speed
Four capabilities that turn weeks-long research cycles into same-week validated decisions, without sacrificing the rigor that makes them worth acting on.
Self-serve tests at speed
Unmoderated tests at scale overnight and quick moderated sessions for depth, without waiting for a researcher slot. PMs run the study; the guardrails handle the rigor.
Validated protocol templates
Pre-built, methodology-scored templates so PMs and designers run rigorous studies without a methodology background. Questions are structured, biases are minimized, findings are defensible.
Instant AI analysis
Sessions analyzed automatically: highlights extracted, themes clustered, insights drafted within minutes of a study closing. From 200 participants to a ranked finding list before end of day.
Quant and qual in one place
Connect analytics drops, NPS dips, or funnel metrics to qualitative evidence in the same platform. Stop emailing two teams and triangulating in a spreadsheet.
The infrastructure layer for evidence-led product teams
Four connected layers that take a product question from protocol to decision, and push the insight wherever the decision is made.
Protocol Builder
Validated templates with methodology scoring, so PMs run rigorous studies without a research background. Guardrails prevent leading questions and biased designs.
Learn more →Studies at scale
Unmoderated tests to 200+ participants overnight. Moderated sessions for depth. Qual and quant captured in the same workspace, no exports, no imports.
Learn more →Insights Repository
Every finding stored as an atomic insight with traceable evidence. Roadmap decisions link directly to the studies that support them, defensible in any review.
Learn more →Research Agents
Instant synthesis: Friction Finder, Why-Behind-the-What, Decision Brief Writer. Chain agents together from a usability test to a stakeholder-ready recommendation in minutes.
Learn more →Insights flow into the tools PMs already use
Connect Jira, Linear, Notion, Slack, and Figma so findings land where the roadmap lives, without anyone copying a summary into another tool.
Agents built for how product teams work
Each agent handles one product research task end-to-end. Chain them together: Friction Finder surfaces the issue; Decision Brief Writer turns it into a stakeholder recommendation in minutes.
Friction Finder
Surfaces the top friction points in any usability test, ranked by severity.
Analyzes an unmoderated session set and identifies where participants stopped, struggled, or dropped off. Returns a ranked list of friction points with supporting clips and a severity score, ready to paste into a sprint doc.
Output
Ranked friction list · Severity scores · Linked session clips
Why-Behind-the-What
Connects a quantitative metric drop to qualitative root cause.
Feed it a funnel step, an NPS drop, or an analytics anomaly alongside your qualitative studies. The agent correlates the signal with qualitative evidence and returns the most likely cause, with confidence and citation.
Output
Root cause + confidence · Qual evidence citations · Quant correlation
Decision Brief Writer
Turns a study into a one-page, stakeholder-ready recommendation.
Takes a completed study or finding set and generates a structured decision brief: context, evidence, recommendation, and open questions. Stored in the repository, linked to the study, ready to share or attach to a Jira ticket.
Output
Structured brief · Evidence links · Stakeholder-ready format
Protocol Evaluator
Guardrail for PM-run studies: checks methodology before a study goes live.
Reviews your draft research questions and study design against established methodology criteria. Flags leading questions, insufficient criteria, and design gaps, so the data you collect is worth trusting.
Output
Methodology score · Specific improvements · Pass / review status
Why Usedge, not the other tools PMs already have
Survey tools give speed without depth. Transcript tools give depth without guardrails. Analytics give signal without diagnosis. Usedge gives all four.
Speed and rigor: not a tradeoff
Validated protocol templates and the Protocol Evaluator agent mean non-researchers can run studies without sacrificing methodology quality.
Quant and qual, unified
Connect a funnel drop to a qualitative root cause in the same platform. No more forwarding analytics screenshots to the research team.
Agentic synthesis in minutes
Friction Finder, Why-Behind-the-What, and Decision Brief Writer turn a raw study into a stakeholder recommendation, automatically.
Insights where decisions are made
Findings pushed to Jira, Linear, Notion, and Slack. The PM sees the evidence in the tool they're already in.
Checkout conversion dropped 8%. Root cause confirmed by morning.
Checkout conversion drops 8%
Analytics dashboard shows a sustained 8% drop at the checkout step over the past 10 days. No recent deployment explains it. The PM needs to understand why before the next sprint planning.
Checkout conversion
48%
Before
40%
After
From question to evidence in three steps
One workflow whether you need depth or scale, with a stakeholder-ready output at the end.
Step 1
Pick a template and launch
Choose from validated protocol templates: checkout flow, feature validation, onboarding friction, and concept tests. The Protocol Evaluator checks your study before it goes live. Launch unmoderated to 200 participants or schedule a moderated session.
Step 2
AI analyzes while you sleep
Sessions close; analysis runs automatically. Friction Finder and Why-Behind-the-What identify top issues, correlate with your quant signals, and draft atomic insights, each linked to the highlights that support them.
Step 3
Decision Brief, ready to act on
Decision Brief Writer generates a one-page stakeholder recommendation from the findings. It lands in the Insights Repository, links to your Jira ticket, and can be shared in Slack before the next sprint planning call.
Evidence at the speed of product
Ship decisions backed by traceable evidence, not gut. Validated templates, instant AI analysis, and quant+qual in one place.