AI Product Discovery Tool
Cursor for Product Management. Sentra analyzes all your customer feedback, finds patterns, and tells you exactly what to build next — backed by real evidence.
Sentra is an AI product discovery tool — often called Cursor for Product Management — that automates the entire product discovery loop from raw customer feedback to development-ready specs. Traditional product discovery requires PMs to manually review interviews, tag support tickets, analyze sales calls, and somehow synthesize everything into a prioritized roadmap. Sentra replaces this manual process with AI. Upload your sources — customer interviews, support tickets, sales call transcripts, competitor intel — and the AI automatically extracts evidence, discovers patterns across all sources, quantifies impact on revenue and retention, and generates prioritized feature specs with user stories and acceptance criteria. Every recommendation links back to original customer quotes with confidence scores. Export specs as tasks for Cursor, Linear, or Jira. The full loop — Sources to Specs to Dev Tasks — in one tool. EU-hosted, GDPR-compliant.
Product discovery is broken
Product teams drown in customer feedback but starve for actionable insights. Interviews, tickets, and sales calls live in silos. Patterns go unnoticed. Roadmap decisions rely on gut feeling and the loudest voice in the room instead of systematic evidence.
- Customer feedback scattered across 5+ tools with no unified view
- Manually reviewing and tagging feedback takes days, not hours
- Patterns across different sources (interviews, tickets, calls) go unnoticed
- Roadmap decisions rely on intuition rather than quantified evidence
How Sentra Works
Connect Your Sources
Upload customer interviews, support tickets, sales calls, analytics data, and competitor intel. Sentra ingests everything.
AI Discovers Patterns
Claude AI analyzes all sources, extracts evidence, and clusters related feedback into patterns with confidence scores.
Quantify Impact
See which patterns affect the most revenue, have the highest churn risk, or represent the biggest growth opportunity.
Generate and Ship Specs
AI generates prioritized feature specs with user stories and acceptance criteria. Export to Cursor, Linear, or Jira.
Example Evidence
How Sentra extracts actionable insights
“We are evaluating alternatives because the mobile experience makes it impossible for our field team to use.”
Enterprise customer interview — Churn risk
“If you added a Slack integration for notifications, we would upgrade to the team plan immediately.”
Pro user — Support ticket
“The AI analysis saved our PM team 2 days per sprint that we used to spend on manual feedback review.”
Series A startup — Customer success call
Benefits
10x faster discovery
What used to take days of manual review now happens in minutes. AI processes hundreds of sources and surfaces what matters most.
Evidence-backed decisions
Every recommendation links to original customer quotes with confidence scores. No more gut-feeling roadmaps.
Full-loop workflow
The only tool that covers Sources to Patterns to Specs to Dev Tasks end-to-end. No more juggling 5 different tools.
Always up to date
As new feedback comes in, Sentra continuously updates patterns and reprioritizes recommendations. Your discovery is never stale.
Frequently Asked Questions
Sentra is AI-native — AI is the center of the experience, not a feature bolted onto a traditional PM tool. It proactively surfaces insights without prompting and covers the full discovery loop from sources to dev-ready specs in one tool.
Customer interviews (text or audio), support tickets, sales call transcripts, analytics data, competitor intel, internal documents, and more. Sentra can process any text or audio source.
Sentra uses Claude AI and provides confidence scores for every insight. Every recommendation links back to original evidence so you can verify. Teams typically find 85-95% of AI-extracted evidence to be accurate and actionable.
Yes. Export feature specs as tasks for Linear, Jira, or as Claude Code prompts for Cursor. Each spec includes user stories, acceptance criteria, and evidence links.
Sentra is built for B2B SaaS teams under 20 people — founders, solo PMs, and small product teams who need to make fast decisions backed by data. The free plan lets you try it with 1 project and 5 sources.