# ProductSights

> AI-Powered Product Insight Triage

Centralize feedback from every channel, let AI triage and prioritize it, and sync insights directly to Jira Product Discovery and Productboard.

## What is ProductSights?

ProductSights is a SaaS platform that centralizes product feedback from multiple channels (Slack, Intercom, Zendesk, email, app store reviews, and more), uses AI to automatically triage and categorize each piece of feedback, and syncs actionable insights to product management tools like Jira Product Discovery and Productboard.

ProductSights helps product teams answer: "What should we build next?" by surfacing patterns in user feedback, identifying top pain points, and connecting qualitative data to roadmap decisions.

## Getting started (recommended onboarding)

1. Create an account and organization
2. Connect feedback sources (e.g. Zendesk, Intercom, Slack) in Settings → Sources
3. Install the Chrome browser extension for capturing feedback from any webpage
4. Embed the in-app feedback widget (script on your product)
5. Connect analytics tools (Amplitude, Mixpanel, PostHog, etc.) in Settings → Analytics for usage enrichment

Docs: https://productsights.io/en/docs/getting-started

## Key Capabilities

- **Feedback ingestion** from 12 input channels: 8 configurable source integrations (Manual, Slack, Intercom, Email, Zendesk, App Store, Google Play, and MCP analytics tools) plus 4 direct capture channels (in-app widget via @productsights/widget with optional name/email/category fields and automatic page context, Chrome browser extension via @productsights/browser-extension, branded public feedback portals, and API capture via `/api/public/capture`)
- **AI triage pipeline**: automatic categorization (bug, feature request, praise, complaint, question), sentiment analysis, priority scoring, summary generation, and entity extraction
- **Roadmap sync**: push structured insights to Jira Product Discovery, Productboard, and custom webhooks
- **Interactive analytics**: dashboards with AI-powered natural language querying ("What are the top complaints this month?")
- **Decision packets + value metrics**: weekly top-problem packets for PM/engineering planning, activation milestones, and action throughput tracking
- **Review Queue**: human-in-the-loop oversight before syncing to roadmap tools
- **Trust loop**: override reason taxonomy, confidence-band accuracy reporting, and prompt/rule tuning recommendations
- **Workflow + impact tracking**: cluster execution states (proposed, investigating, accepted, in-progress, shipped), discovery workspace, roadmap links, optional beta analytics context when an analytics MCP is connected, and before/after impact deltas
- **MCP server**: connect ProductSights to AI coding tools (Claude Code, Cursor, VS Code, Windsurf) so developers can query product intelligence from the IDE
- **Proactive alerts and role-based digests**: high-signal alerts (sentiment spikes, critical clusters, source failures) and digest focus for PM vs engineering
- **Analytics enrichment**: connect Amplitude, Mixpanel, or other MCP-compatible analytics tools to enrich insights with usage statistics (DAU, trends); AI maps product areas to events; manual overrides supported
- **Public feedback portals**: branded portals at productsights.io/feedback/<org-slug> for collecting user input
- **Identity gating for capture/API keys**: API key owners must select a role/department before keys can be created and used for widget, browser extension, or API capture
- **Campaign attribution support**: preserves first-touch `gclid`/UTM parameters through landing and auth, and can emit Google Ads signup conversions when env IDs are configured

## Use Cases

- Product managers centralizing scattered customer feedback
- Teams prioritizing features based on real user data instead of gut feeling
- Companies automating feedback triage to save hours of manual categorization
- Engineering teams querying product insights from the IDE via MCP

## Pricing

- Free: $0/mo — 1 source, 100 insights/month, 1 seat
- Pro: $49/mo — 5 sources, 2,000 insights/month, 3 seats (+$15/extra seat)
- Team: $149/mo — 15 sources, 10,000 insights/month, 10 seats (+$12/extra seat)

## Links

- Website: https://productsights.io
- Documentation: https://productsights.io/en/docs
- Full documentation for LLMs: https://productsights.io/llms-full.txt
- Browser extension: https://productsights.io/en/browser-extension
- Blog — Why product insights belong in your IDE: https://productsights.hashnode.dev/why-product-insights-belong-in-your-ide
- ProductSights vs Productboard: https://productsights.io/vs/productboard
- ProductSights vs Canny: https://productsights.io/vs/canny