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 avg
42%
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.

All chart types

Bar, pie, line, NPS gauge, star distribution — the right chart for every question type.

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.

Scheduled reports

Daily, weekly, or campaign-triggered AI summaries delivered to Slack, email, or MS Teams via Zapier.

Response segmentation

Slice data by any user trait, device, or segment passed via SDK.

Export reports

PDF and 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

encatch AI

Daily · 9:00 AM

#product-feedback

📊 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.

Coming soon

Talk to your data

Ask 'What are the top complaints from iOS users this month?' in plain language.

Available now

Export report

Download a full PDF or CSV summary — 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 routing layer classifies each response and sends it to the configured destination. Bug reports to Jira, churn signals to Salesforce, detractor alerts to Slack. Rules set once, run automatically after that.

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?

Encatch AI clusters open-text responses into recurring themes and scores sentiment automatically. The PM sees a ranked breakdown, onboarding friction, billing confusion, performance issues within minutes of responses arriving.

What feedback tool queries my survey responses in plain language so I don't need to export and analyse data manually?

Encatch supports plain-language queries against the full response dataset. Ask what the top complaints from iOS users were last month. It returns a structured, ranked answer without a data export or analyst.

Is there a tool that alerts me in real time when a bug complaint pattern spikes in user feedback?

Encatch's anomaly detection flags sudden spikes in critical response themes, checkout crashes, login failures and routes the alert to Slack or Jira in real time, before the support queue surfaces it.

What in-app feedback platform integrates with Salesforce to send churn risk signals automatically?

Encatch routes churn-risk responses to Salesforce based on AI classification and rules configured once. When a response qualifies as a churn risk, it goes to the configured Salesforce queue. 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.