Know when users are getting a worse experience
Product, support and customer success
Infrastructure dashboards stay green while users abandon tasks because answers got slower, less useful or harder to act on.
AI behavior next to user behavior
Web and product analytics land next to traces and evals, so a drop in a funnel step can be traced to the runs that served those users.
Track the journey, link sessions to traces, and see which AI change moved the numbers.
Connect
Bring user events, application telemetry, AI traces, evals, latency, and business KPIs together.
Segment
Compare experience by customer, cohort, workflow, model, release, or process.
Explain
Find whether quality, latency, cost, tool failures, or data issues changed the outcome.
Improve
Route product, support, and engineering actions with evidence from the full journey.
What supports it
How to start
What you get
- Catch quiet customer-experience degradation before it shows up in churn or tickets.
- Show product teams which AI behaviors improve or hurt outcomes.
- Give support and success teams context behind escalations and customer pain.
Is this web analytics?
Anosys can ingest user behavior signals, but the value comes from connecting them to AI traces, evals, latency, cost, and business outcomes.
Can support teams use Anosys?
Yes. Support teams can use dashboards, AI Assistant, and workflow evidence to understand why a customer was affected and what changed.