The Definitive Guide to AI Agent Analytics
How to Measure and Improve Your AI Experience so Customers Get the Best Outcomes
A comprehensive guide to measuring intent, journey quality, and outcomes for AI products. Learn why event analytics fails for conversational AI, and how Experience Analytics gives product teams the visibility they need.
Chapters
Read in order or jump to any chapter.
Why Traditional Analytics Fail for AI Products
Event analytics was built for clicks. AI products run on conversations. The measurement gap is back — and it costs more than you think.
8 min readThe Experience Analytics Framework: Intent, Journey, Outcome
A new measurement model for AI products. Learn the three phases of every conversational experience and why funnels fail for dynamic interactions.
7 min readHow to Measure Customer Intent in AI Products
Intent is the foundation. Learn how to capture what customers are trying to do, categorize patterns, and use intent data to make better product decisions.
7 min readHow to Track Conversational AI Journey Quality
The journey is the murky middle where experiences break. Learn how to identify friction, measure efficiency, and distinguish healthy engagement from struggle.
8 min readHow to Measure AI Product Success and Outcomes
Engagement is not success. Learn how to define outcomes for your AI product, track completion rates, and understand why customers fail.
7 min readTurning AI Analytics into Product and Business Action
Measurement without action is a dashboard nobody checks. Learn how to route experience signals to the right teams and close the feedback loop.
7 min readGetting Started with Experience Analytics
A practical implementation guide. From first integration to actionable insights in weeks, not months.
5 min read