Always-on feedback
An always-available feedback form plus targeted questions at friction points, so users can tell you what's in the way the moment it happens.
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.
Targeted in-product questionsDiscovery briefs with your AIGDPR ready
Discovery Brief · Q1 2026With your AI
Top feedback topics · 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.
Hear about friction before users give up and churn
- An always-available feedback form and targeted questions at friction points let users tell you what's in the way, in the moment.
- Every signal is attached to a known user with plan, tenure, and feature usage — so you know which cohort is struggling.
- Feedback Intelligence groups friction feedback into topics with sentiment, without any manual tagging.
- Combine friction feedback with explicit requests to build a complete picture of unmet need.
Always-on feedback · In-app
Users speak up the moment something gets in the way
Friction
"Stuck on onboarding step 3"
214Bug
"Export button does nothing"
87Confusion
"Can't compare billing plans"
142Where feedback comes from
Always-on feedback formFeature requestsTargeted questionsExit surveysNPS 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.
- Send validated concepts straight to a ticket in Jira, GitLab, or GitHub.
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 always-on feedback, 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.
Discovery brief with your AI
Save a discovery prompt and run it in ChatGPT or Claude with Analyse with your AI. Automatic weekly briefs are coming soon.
Feature request signals
Feature requests collected in-product are grouped into demand clusters with Feedback Intelligence, not a flat list of asks.
NPS open-text mining
Open-text follow-ups from NPS detractors are grouped into topics with Feedback Intelligence, alongside your other discovery feedback.
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 asks targeted users about friction and unmet needs right inside the product, segments the answers by cohort, and groups them into topics with Feedback Intelligence. A saved discovery prompt in Analyse with your AI turns them into a brief in ChatGPT or Claude.
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.