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.
Try Feedback Studio0 bytes
raw data to server
DuckDB
in-browser SQL engine
HTML
report you own
DuckDB · local · no upload
Top complaint themes
Chart added to report →
Q1 2025 Feedback Analysis
2,847 responses · Exported Mar 14
Theme breakdown
Onboarding · ≤2 stars
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
Product Insights
Scheduled Reports
AI summaries delivered on your cadence
Hybrid Forms
AI Integration Code
Generate SDK hooks from the encatch schema
Privacy Controls
AI Refine
Enterprise-grade stylometry anonymisation
Feedback Studio · External Insights
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
Drop your feedback CSV / JSON
Never leaves your browser
Generated Report
HTML · editableFeedback Studio · Private Insights
Maximum privacyYour data stays on your device. Always.
- On-device LLM processes your entire feedback dataset — no network calls, no server-side processing, no logs.
- Designed for privacy-conscious teams: internal HR feedback, sensitive NPS data, or any dataset that must never leave the organisation.
- Chat naturally with your data to extract summaries, spot critical signals, and surface recurring complaints.
- No API key required, no cloud model subscription — the model runs directly in the browser.
- Available in experimental release to all encatch users. No configuration needed.
Private Insights
Feedback Studio · On-device AI
No data leaves your device
On-device LLM processes your data entirely in-browser. No API calls. No server. No logs.
Q4 Critical Signal Summary
3 recurring themes identified across 847 responses. Performance degradation at checkout mentioned by 34% of 1-star respondents. Onboarding confusion highest among mobile…
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.
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.
FAQ
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.