The Correlation Blindspot
You can see clicks on a new feature, but do they drive NRR? Manually correlating Segment logs with Stripe data to find the power-user profile takes days of SQL.
Beyond surface-level event tracking. Deploy autonomous agents that audit your product usage, identify hidden friction points, and generate executive narratives on feature-market fit in seconds.
Observation
Agentic Hypothesis
Recommended Action

You can see clicks on a new feature, but do they drive NRR? Manually correlating Segment logs with Stripe data to find the power-user profile takes days of SQL.
Many PM teams build from loud feedback or raw volume metrics. Without agentic depth, quiet anomalies that signal major UX friction are missed.
Spending 40 hours each month pulling cohorts and cleaning event properties leaves almost no time for deep user empathy and strategic discovery.
The agent scans trillions of events to identify sticky features-the specific actions that turn trial users into long-term advocates.
Explore Diagnostic Flow
Move from click counts to strategic impact with executive reports on why features win or fail.
The agent identifies rage-clicks and drop-off patterns in onboarding and checkout flows that standard funnels often miss.
Bridge your entire product stack instantly. Skip the manual event exports and broken pipelines-just one click to a live, unified source of truth.
Identify exact behaviors that lead to churn and fix them before the next product cycle.
Reclaim discovery time and shift the team from SQL querying to strategic shipping.
Back every feature update with mathematically verified usage evidence, not intuition.

Segment + Mixpanel
Explore Product ReportPostHog + Intercom
Explore Product ReportMixpanel + Shopify
Explore Product ReportEvery analysis runs in secure ephemeral environments with strict data boundaries.
Every output links to generated code and verified execution traces for auditability.
The agent proposes, your team refines, and you keep final control of strategic outputs.
Yes. Intelligent Mapping automatically identifies your custom Segment or Amplitude properties and treats them as first-class dimensions.
Amplitude shows the What. Bayeslab agents explore the Why by cross-referencing product data with external context like CRM and support logs.