Passive signal collection
Friction points, drop-offs, and frustration tags surface automatically — before users ever fill out a form.
Use case · Product Discovery
Discover what to build before you spec it
Turn user feedback into a clear view of unmet needs and opportunities to explore.
Passive + active signalsAI discovery briefsGDPR ready
Discovery Brief · Q1 2026AI-generated
Top opportunity clusters · this quarter
Bulk workflow actions
142 feedback mentions
Mobile parity gaps
89 friction reports
Integration depth
64 feature requests
Discovery insight
Bulk workflow gaps are mentioned 3× more by Enterprise accounts and correlate with the highest NPS drop this quarter. This is your highest-ROI discovery area.
How it works
Start with the people using your product.
Surface friction before users give up and churn
- Encatch continuously collects feedback signals — drop-off rates, frustration tags, and rage-click patterns from in-app behaviour.
- Every signal is attached to a known user with plan, tenure, and feature usage — so you know which cohort is struggling.
- Friction points surface in the Product Insights dashboard without any manual tagging or analysis.
- Combine passive signals with explicit requests to build a complete picture of unmet need.
Passive signals · Always-on collection
Friction surfaces before users speak up
Friction
Drop-off on /onboarding/step-3
214Bug
Rage clicks on export button
87Confusion
Return visits to /help/billing
142What triggers signal collection
In-app feedbackFeature requestsFrustration tagsExit intentNPS follow-ups
From feedback to action
Find the themes worth exploring.
Validate ideas with real users before engineering starts
- Run a concept-validation survey to the exact user segment most likely to use the feature.
- A/B test two concepts simultaneously — compare interest, sentiment, and willingness scores.
- Small sample sizes (N=50+) are enough for directional confidence on most discovery questions.
- Link validated concepts directly to a feature request ticket in Jira or Linear.
Experiments · Concept validation
Test ideas before a line of code is written
Concept A
"Would you use a bulk action toolbar?"
74% positive
Concept B
"Would you use keyboard shortcuts?"
41% positive
Experiment targeting
Shown to: Team & Enterprise users who created ≥ 5 records this week
320 responses · 3 days running
Bulk actions wins. Validate concept → spec → engineering handoff — all in Encatch.
Product Discovery
Find what to build — before you write a line of code
Encatch surfaces unmet needs through passive signals, targeted surveys, and AI synthesis — so your discovery work starts with evidence, not assumptions.
Cohort-based need analysis
Segment unmet needs by plan, tenure, feature usage, or region. Find exactly which cohort is underserved.
Concept validation
Test ideas in the product before any design or engineering work begins. Run A/B concept surveys against a targeted segment.
AI discovery brief
Weekly AI-generated summary of top opportunity areas, friction hotspots, and quick wins — ready for sprint planning.
Feature request signals
Voted feature requests feed directly into discovery briefs — showing demand clusters, not a flat list of asks.
NPS open-text mining
Open-text follow-ups from NPS detractors are automatically themed and added to discovery signal clusters.
Discovery survey templates
Pre-built survey templates for JTBD interviews, concept tests, and onboarding feedback — launched in minutes.
Product Insights dashboard
One view of feedback volume, friction trends, and request clusters — with filters for any segment.
User identity on every signal
Every signal is attached to a known user. Filter by plan, account, or cohort to understand who is underserved.
A little more detail
Product discovery, answered
What is product discovery?
Product discovery is the process of validating what to build before committing engineering time, using evidence like user feedback and friction signals rather than assumptions.
How does Encatch help with product discovery?
Encatch surfaces passive friction signals and unmet needs from real usage, segments them by cohort, and generates a weekly AI discovery brief your team can act on.
Can I validate a concept before building it?
Yes. Encatch lets you run in-product concept tests and targeted surveys to validate demand before committing engineering resources.
Also explore
Product Discovery · Getting started
Start building with evidence
Free trial. No credit card. Your first discovery signals can start arriving in under 10 minutes.