Build what moves the metrics. Prove it did.
Stop debating the roadmap based on whoever's loudest. Get customer evidence to prioritize what matters, ship with confidence, and measure what actually moved.

The Product Leader's reality
Context
Product leaders own the hardest question in the company: what to build next. The answer should combine strategy and real customer need — but signal is buried across support tickets, NPS, reviews, sales calls, and product analytics that never talk to each other.
The Challenge
You're prioritizing based on intuition, internal politics, and whoever's loudest in the room. Every roadmap review becomes a debate. CX inherits the support burden from gaps your team didn't know existed. Months pass before anyone knows whether a feature actually moved the needle.
What Changes
Customer evidence that quantifies every decision — ARR at risk, segments affected, churn impact. One source of truth for Product and CX. Discovery in hours, not weeks. Every release measured against the problem it was supposed to solve.
From roadmap debate to evidence-based decisions
Evidence over opinion
Discovery without the analyst dependency
Prove every decision worked

Built for how Product teams make decisions.
Each capability was designed around the questions Product leaders get asked in every roadmap review — and the evidence they need to answer them.
Evidence-based prioritization.
Every feature request quantified by real demand — not by who asked loudest, but by how many customers are affected, how much revenue is at risk, and which segments care most. Qualitative feedback cross-referenced with behavioral data from your product analytics stack so the signal is real, not just loud.
Requests ranked by ARR impact, churn risk, and customer segment
Qualitative feedback cross-referenced with Amplitude, Pendo, Heap, Mixpanel
Segmented by customer type, plan, geography, and behavior


Real-time discovery and monitoring.
Query any issue across every feedback channel instantly. Monitor launches in real time. Catch emerging patterns at 20 signals, not 200. Root cause classified automatically — product gap, process failure, or service issue — so ownership is clear before escalation.
Instant discovery across all feedback channels
Launch monitoring with before/after signal comparison
Emerging issue detection with automatic root cause classification
Closed-loop measurement.
After every release, Birdie closes the loop. Which fixes moved adoption? Which features are sitting unused? Segment-level measurement that ties what you shipped to what changed — so every cycle teaches you what actually moves your metrics.
Before/after signal comparison on any release
Segment-level adoption and retention measurement
Attribution that holds up in a board review

From raw feedback to roadmap decision, in hours.
Built for enterprises that can't afford to get it wrong
Security & Compliance
Birdie is built to the standards of regulated fintech and healthcare environments, anywhere in the world. Your customer data is encrypted, access-controlled, and audit-logged.
Accuracy & Transparency
We publish F1 scores. We show you model cards. We're explicit about accuracy limitations and edge cases. You know exactly what works, what doesn't, and why.
Availability & Support
99.9% uptime SLA. Dedicated enterprise support. Your decisions don't stop because your platform stopped. When you need us, we're here.
From signal to execution in one workflow.
Birdie connects to the systems where signals originate and the tools where work happens. Signals flow in from Zendesk, Slack, surveys, and reviews. Birdie diagnoses them. Decisions flow out to Jira, Asana, and your AI agents — with full context.
See IntegrationsSee Birdie in action.
See how Birdie turns customer signals into retention, expansion, and adoption decisions. 30 minutes. Live demo with outcomes.

