Public Beta is live. 30 days free, no credit card required. Join before pricing locks in.
Use case · Product Discovery

Discover what to build before you spec it

Encatch is a product discovery platform. It surfaces unmet user needs and friction signals before you write a line of code, so teams can validate ideas with evidence instead of assumptions. The best product decisions start with evidence, not assumptions — Encatch clusters those unmet needs by segment and generates a weekly discovery brief so you walk into planning with clarity.

Start Free TrialSee Product Insights
Passive + active signalsAI discovery briefsGDPR ready
Discovery Brief · Q1 2026AI-generated

Top opportunity clusters · this quarter

Bulk workflow actions

142 feedback mentions

+31%

Mobile parity gaps

89 friction reports

+22%

Integration depth

64 feature requests

+17%

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.

In-App Feedback · Passive signals

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

214
Bug

Rage clicks on export button

87
Confusion

Return visits to /help/billing

142

What triggers signal collection

In-app feedbackFeature requestsFrustration tagsExit intentNPS follow-ups

Segmentation · Need by cohort

Find exactly which users are underserved

  • Filter all discovery signals by plan, account age, feature usage, region, or any custom attribute.
  • New Starter users often have 3× more unmet needs than long-term Enterprise accounts — segmentation shows you this.
  • Identify the cohort with the highest friction-to-NPS gap: that's your highest-ROI discovery area.
  • Build saved segment views for each product vertical or user archetype.

Segmentation · Unmet need by cohort

Find who is underserved — before they churn

Enterprise · 12+ months

Friction: Low· NPS: +67

12

requests

Team · 3–6 months

Friction: Medium· NPS: +44

38

requests

Starter · <30 days

Friction: High· NPS: +18

61

requests

New Starter users have 3× more unmet needs than Enterprise. Discovery work here prevents churn, not just improves NPS.

Experiments · Concept validation

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.

Encatch AI · Discovery brief

Walk into planning with a brief — not raw data

  • Every Monday, Encatch AI generates a discovery brief from the week's feedback signals, requests, and NPS follow-ups.
  • Top opportunity areas are ranked by signal volume, ARR concentration, and trend velocity.
  • Friction hotspots are identified with the exact page, flow, and affected segment.
  • Quick-win suggestions surface low-effort, high-impact changes you can act on in the same sprint.

Encatch AI · Discovery brief

Ready for sprint planning — every week

Top unmet need

Bulk workflow actions — 142 mentions, concentrated in Enterprise users creating 10+ items/week.

Highest-friction flow

Onboarding step 3 (integration setup) — 38% of new users drop off here within 7 days.

Quick-win opportunity

Return visits to /help/billing suggest the billing UI needs clearer plan comparison. Low effort, high impact.

Brief generated from 847 signals across this week — updated every Monday morning

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.

Passive signal collection

Friction points, drop-offs, and frustration tags surface automatically — before users ever fill out a form.

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.

FAQ

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

Feature Request Management

Collect, triage, and track what users want to build next.

Learn more

User Research & Surveys

Run targeted studies and synthesise findings with AI.

Learn more

Churn & Retention Insights

Identify at-risk users early and understand why they leave.

Learn more

Product Discovery · Getting started

Start building with evidence

Free trial. No credit card. Your first discovery signals can start arriving in under 10 minutes.

Start Free TrialSee Product Insights