Encatch AI · Experimental · Available now

Ask your feedback. Get the answer.

Feedback Studio lets you upload any feedback dataset and have a real conversation with it — powered by AI, run entirely on your device or in your browser. No dashboards. No setup. Just answers.

0 bytes

raw data to server

DuckDB

in-browser SQL engine

HTML

report you own

encatch AI
Feedback Studio · External InsightsDuckDB · local
What are the top themes users complain about?
Running query across 2,847 responses…

DuckDB · local · no upload

Top complaint themes

Onboarding
38%
Performance
27%
Navigation
18%
Drill into onboarding — what do 1–2 star users say?
Filtered 412 responses · Onboarding · ≤2 stars

Chart added to report →

Ask a question about your data…
Generated ReportHTML

Q1 2025 Feedback Analysis

2,847 responses · Exported Mar 14

Theme breakdown

OnboardingPerfNav

Onboarding · ≤2 stars

Confusing UI52%
No guidance31%
Other17%

AI across Encatch

AI lives in your workflow — not just a sidebar

Every feature that matters has AI built in. Here's where it shows up.

Form Engine

AI Refine

Stylometry anonymisation on free-text responses

Real-time Alerts

AI Filter

Prompt-based destination filtering per form

Product Insights

AI Themes

Auto-tagged themes with aspect sentiment analysis

Privacy Controls

AI Refine

Enterprise-grade stylometry anonymisation

What's included

Everything you need to talk to your data

Feedback Studio is designed for product managers who want answers, not dashboards.

DuckDB in-browser

Full SQL queries run locally via WebAssembly. Raw data never leaves the browser tab.

Natural language queries

Ask questions in plain English. AI translates to SQL, runs it locally, and summarises the result.

Dynamic HTML reports

Charts and summaries build up as you chat. Save or print the final report as a self-contained HTML file.

On-device LLM

Private Insights runs entirely on-device — no network requests, no server logs, no retention.

Any data source

Upload CSV or JSON exports from any feedback platform. No proprietary format required.

Aggregated, not raw

Only aggregated query results are sent to the AI for summarisation. Row-level data is never transmitted.

Board-ready exports

Clean HTML output with charts, summaries, and context — ready for presentations or further editing.

AI-generated SQL

The AI writes and validates SQL queries against your schema before executing them locally.

Feedback Studio

Two ways to work with your feedback.

Choose aggregated external analysis or a model that runs entirely on your device. Feedback Studio is experimental and available now.

Upload any dataset. Chat with it. Generate a report.

  • Upload CSV or JSON exports from any feedback platform — encatch, Typeform, SurveyMonkey, or custom dumps.
  • AI translates your plain-English questions into SQL queries, which run locally via DuckDB. Only aggregated results are sent for summarisation.
  • Charts and text summaries appear in a live report panel as you ask questions — the report builds up dynamically.
  • Save the final report as a self-contained HTML file you can print, email, or tweak further in any editor.
  • Perfect for board presentations, quarterly reviews, or any ad-hoc analysis without spinning up a pipeline.

External Insights

Feedback Studio · Experimental

All local

Drop your feedback CSV / JSON

Never leaves your browser

Query flow
Your questionAI → SQLDuckDB localResult to AI

Generated Report

HTML · editable
Theme breakdown · bar chart
Sentiment by rating · pie chart
Drop-off funnel · by question

Product journey

Keep following the signal.

A little more detail

encatch AI, answered

Common questions about chatting with your feedback data privately in the browser.

Does Encatch work with React Native?

Yes. Encatch provides a React Native SDK that renders feedback forms natively inside mobile apps on iOS and Android. Forms match the app's own design system, no third-party widget appearance and behave exactly as expected within the native mobile experience.

Does Encatch work with Flutter?

Yes. Encatch supports Flutter with a native SDK, allowing teams building cross-platform mobile apps to deploy in-app feedback forms without redirecting to a third-party page. The Flutter SDK connects to the same Encatch dashboard and targeting rules as the web and React Native SDKs.

Does Encatch require a developer to set up?

The initial SDK installation requires a developer, typically a 30-minute task for a developer familiar with the tech stack. After that one-time setup, product managers operate the entire platform from the dashboard independently: creating forms, configuring targeting rules, publishing surveys, and analysing responses without returning to engineering.

How long does it take to set up Encatch?

The initial SDK installation typically takes under 30 minutes for a developer. After installation, a product manager can build their first survey and push it live the same day from the Encatch dashboard, without writing any additional code.

Can Encatch be deployed as an iFrame?

Yes. Encatch supports iFrame embed as a deployment option for teams that want to integrate feedback forms without a full SDK installation. The iFrame option provides a lower-friction starting point while still rendering the form within the product's own interface.

What integrations does Encatch support?

Encatch integrates natively with Jira, Slack, Salesforce, Zendesk, GitHub, Google Analytics, Zapier, and webhooks. Feedback responses are routed automatically to these destinations based on rules the PM or admin configures once, bug reports to Jira, churn signals to Salesforce, detractor alerts to Slack.

Can Encatch send feedback directly to Jira without manual triage?

Yes. Encatch's AI routing layer classifies each response by signal type, bug report, churn risk, feature request, or positive feedback and routes it to the configured destination automatically. A PM sets the routing rules once; from that point, responses reach the Jira project, Slack channel, or Salesforce queue without any manual intervention.

Does Encatch support self-hosting?

Yes. Encatch offers a self-hosted deployment option for teams that require full infrastructure control, on-premise data storage, or cannot use cloud-hosted SaaS tools due to compliance or security requirements.

Does Encatch work inside AI products or MCP interfaces?

Yes. Encatch supports MCP (Model Context Protocol) integration, which enables feedback collection natively inside AI-powered product interfaces and LLM chat environments. This capability is currently marked as Experimental and is designed for teams building AI-native SaaS products that need to collect user feedback within an AI conversation flow rather than via a traditional survey popup.

Your next step

Your data. Your device. Your answers.

No dashboards to configure. No data pipeline to set up. Just upload, ask, and generate a report your team can act on.