AI Feature Prioritization Tool
Stop prioritizing by gut feeling or loudest stakeholder. Sentra scores every feature by real customer evidence, quantifies revenue impact, and generates specs for what matters most.
Sentra is an AI feature prioritization tool that replaces gut-feeling roadmap decisions with evidence-backed recommendations. Instead of debating priorities in meetings, Sentra analyzes your customer interviews, support tickets, and sales calls to quantify which features have the highest impact. Every recommendation comes with a confidence score, revenue impact estimate (e.g., "$48K MRR at risk"), and direct links to the customer quotes that support it. The AI surfaces patterns across all your feedback sources, clusters them into prioritized opportunities, and generates ready-to-build feature specs. No more RICE scores based on guesswork — Sentra grounds every priority decision in what your customers actually said. EU-hosted and GDPR-compliant for teams that care about data protection.
Feature prioritization is still a guessing game
Most product teams prioritize features using frameworks filled with subjective scores, stakeholder politics, or whoever shouts loudest in the planning meeting. The result: roadmaps that don't reflect what customers actually need.
- RICE and ICE scores rely on subjective estimates that different PMs score differently
- The HiPPO effect — highest paid person's opinion overrides customer evidence
- No systematic way to quantify the revenue impact of building (or not building) a feature
- Feature requests from different sources (interviews, tickets, sales) are never connected
How Sentra Works
Connect all feedback sources
Import customer interviews, support tickets, sales call transcripts, and usage data. Sentra ingests everything into one unified evidence base.
AI finds and clusters patterns
Claude AI analyzes all sources, extracts individual evidence points, and clusters related feedback into themes — automatically across hundreds of data points.
Quantify impact with confidence scores
Each pattern gets a confidence score and impact estimate based on how many customers mentioned it, their segment value, and sentiment intensity.
Generate prioritized specs
Turn top-priority patterns into feature specs with user stories, acceptance criteria, and effort estimates — ready to hand off to engineering.
Example Evidence
How Sentra extracts actionable insights
“We're evaluating alternatives because the reporting just doesn't give us what we need. If this isn't fixed by renewal, we're out.”
Sales Call — $45K ARR Account
“We need role-based permissions before we can roll this out to the rest of the org. It's a blocker for our enterprise deployment.”
Support Ticket — Enterprise Customer
“Honestly, if the API was better documented, we'd build half of these integrations ourselves. We just can't figure out the endpoints.”
Customer Interview — Developer Advocate
Benefits
Evidence over opinions
Every priority decision is grounded in real customer quotes with confidence scores. Stakeholder debates become evidence reviews.
Revenue impact quantification
Sentra calculates the MRR at risk, expansion potential, and churn probability for each feature gap — in real numbers.
Cross-source pattern detection
The AI connects signals from interviews, tickets, and sales calls that humans would never link, revealing the true priority order.
From priority to spec instantly
Once a feature is prioritized, Sentra generates a complete spec with user stories and acceptance criteria — no separate spec-writing phase.
Frequently Asked Questions
Confidence scores are based on evidence volume (how many customers mentioned it), source diversity (across interviews, tickets, sales calls), sentiment intensity, and customer segment value. More evidence from higher-value accounts increases confidence.
Yes. Sentra provides a more rigorous alternative to RICE and ICE because its scores are based on actual customer evidence rather than subjective estimates. You get real impact numbers instead of 1-5 guesses.
Sentra connects evidence to customer accounts and their value. When multiple high-value accounts report the same pain point, it calculates the aggregate MRR at risk or expansion opportunity, giving you concrete dollar amounts.
Sentra exports prioritized specs as tasks for Linear, Jira, or as Claude Code prompts. The handoff is designed to fit into your existing workflow without replacing your project management tool.
Once your sources are uploaded, Sentra processes and prioritizes patterns within minutes. You can go from raw feedback to a prioritized, evidence-backed roadmap in under an hour — even with hundreds of sources.