All chart types
Bar, pie, line, NPS gauge, star distribution — the right chart for every question type.
Product Insights
Product Insights: your users are speaking. Here’s exactly what they said.
From star ratings to open-ended answers, every response becomes a pattern your team can act on.
Audience breakdown by country, device, OS, and browser
AI-tagged themes from open-ended text responses
Drill into any score cohort to read their exact words
Rating distribution
4.2 avg42%
32%
15%
7%
4%
Audience
58%
34%
8%
IN32%
US24%
UK11%
Satisfaction trend
Last 8 weeks
+12%
W1W2W3W4W5W6W7W8
3-star responses
Onboarding took too long
Dashboard feels cluttered
Export was hard to find
AI themes · sentiment
Onboarding
+28%−72%
Performance
+61%−39%
Navigation
+22%−78%
Pricing
+55%−45%
2,841
Responses
4.2 / 5
Avg. CSAT
18%
Drop-off rate
Full analytics suite
Everything a PM needs to close the loop.
Product Insights sits on top of every form and every response — turning raw data into decisions you can act on today.
Audience demographics
Country, device, OS, and browser breakdowns with full filter support.
Aspect sentiment analysis
Each AI-tagged theme shows a positive/negative sentiment split — so you know not just what users mention, but how they feel about it.
Score-based drill-down
Filter to any rating cohort and read exactly what those users said.
Drop-off funnel
See where respondents abandon the form — with time-per-question data.
Response segmentation
Slice data by any user trait, device, or segment passed via SDK.
Export reports
CSV exports ready for standups, board decks, or external sharing.
How it works
From response to decision — in one dashboard.
Product Insights is built for PMs who need to understand not just what users said, but who said it, when they dropped off, and what it means.
Know who is giving you feedback.
Demographics tell you whether your feedback is representative. Break down responses by country, device type, browser, and OS — and apply filters to any segment.
- Country, device, OS, and browser breakdowns out of the box.
- Filter by user traits and feedback attributes simultaneously.
- Understand if your power users and new users feel differently.
Audience report
Country
Device
Browser
IN
32%
US
24%
UK
11%
DE
9%
—
24%
34%
iOS
24%
Android
42%
Web
Filter by segment, device, or date range.
Drop-off funnel
Fix the form before it costs you responses.
See exactly which question causes users to abandon the form — and how long they spent on each step. Identify bottlenecks before they compound.
- Question-by-question funnel with time-per-step data.
- Colour-coded drop-off severity at a glance.
- AI-suggested fixes for high-drop-off questions.
Question funnel
34% drop-off
1
How satisfied are you?
avg 8s986
112 dropped off here
2
What can we improve?
avg 42s874
83 dropped off here
3
Would you recommend us?
avg 12s791
143 dropped off here
4
May we follow up?
avg 6s648
Most users drop off at Q2. Consider splitting into two forms.
Scheduled AI reports · Coming soon
The dashboard comes to you.
PMs live in Slack and email — not dashboards. Configure AI to deliver structured weekly summaries of your feedback data wherever your team already works.
- Structured bullet-point summary — daily, weekly, or tied to an active campaign.
- Delivered via Zapier to Slack, Email, MS Teams, or anywhere.
- Highlights score changes, top themes, and drop-off anomalies automatically.
encatch AI
Daily · 9:00 AM
📊 Daily Feedback Summary — Mar 14
·986 new responses · avg 4.2★ (+0.3 vs last week)
·Top theme: Onboarding (147 mentions, trending ↑)
·NPS score improved to +39 from +31
·18% drop-off on Q2 — consider simplifying
View full report →
Report configuration
Frequency
Daily / Weekly / Campaign
Delivery
via Zapier
Destination
Slack / Email / Teams
Format
Bullet summary
Run on a fixed schedule or tie it to an active campaign — reports fire automatically while the campaign is live.
On the roadmap
Even more insights, coming soon.
We're building the analytics layer that PMs have always wished existed — surfacing signals automatically before you even think to look.
Coming soon
Trend over time
Track how sentiment and scores shift week over week, especially after a release.
Coming soon
Segment comparison
Compare insights side-by-side between two audiences — free vs paid, iOS vs Android.
Coming soon
Shareable snapshots
Read-only report links to share with stakeholders who don't have an encatch account.
Coming soon
Anomaly detection
AI flags when a metric drops unexpectedly — like satisfaction dipping 20% post-deploy.
Available now
Ask your AI about your data
Ask 'What are the top complaints from iOS users this month?' in ChatGPT or Claude with Analyse with your AI, or through Encatch's MCP server.
Available now
Export report
Download a CSV export, ready for standups, board reviews, or sharing with your team.
Product journey
Keep following the signal.
A little more detail
Product Insights, answered
Common questions about turning feedback responses into reports your team can act on.
What feedback tool automatically sends bug reports from user surveys straight to Jira?
Encatch's AI filters check each response against the rule you set for a destination and send it there: bug reports to Jira, detractor alerts to Slack, and churn signals to your CRM by webhook through Zapier or n8n. Rules set once run automatically.
Is there a survey platform that routes low NPS scores directly to my CS team in Slack?
Encatch does this. Set a routing rule for NPS below a defined threshold, the response goes to the Slack channel the CS team monitors. No dashboard to check manually, no delay between signal and team awareness.
How do I analyse 300 open text feedback responses without reading all of them?
Feedback Intelligence groups open-text responses into topics and aspects and scores sentiment for each, so the PM sees a ranked breakdown (onboarding friction, billing confusion, performance issues) without reading every response.
How can I ask questions about my survey responses without exporting and analysing data manually?
Analyse with your AI prepares your responses and a ready-made prompt, then opens ChatGPT or Claude in one click, so you can ask anything, such as the top complaints from iOS users last month. Or your AI assistant can summarise report exports through Encatch's MCP server.
Is there a tool that alerts me in real time when users report a bug?
Encatch sends each matching response to Slack or Jira the moment it arrives, using manual filters (score or answer) or AI filters that check the response against a rule you write, such as 'reports a checkout crash'.
Can encatch send churn-risk signals to Salesforce automatically?
Yes, through a webhook. AI filters flag churn-risk responses, and the webhook passes them to Salesforce through Zapier or n8n, or a small integration you deploy. No manual triage.
Start analysing
Stop guessing. Start knowing.
Every response your users submit becomes a data point you can act on. Product Insights turns the noise into the signal — automatically.