Early Access · Conversational Analytics

Clicks whisper.
Prompts yell.

Clickstream tells you where users went. It can't tell you what they were trying to do.

When users talk to the Product Agent, intent stops being inferred — every conversation is a labeled record of what someone wanted, and whether your product delivered it.

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Traditional analytics vs Conversational Analytics Early Access

Same users.
A completely different picture.

Pageviews, funnels, and time-on-page describe behavior. They never tell you intent. Conversational Analytics reads the conversation itself.

What you want to know
Traditional analytics (clicks)
Conversational Analytics (intent)Reads intent
What did users want to do?
Inferred from page paths and dwell time.
✓User Intent classified per conversation: Action Request, Information Request, Reported Issue, Feature Request.
Did the product deliver?
Bounce and exit rates. Still guessing.
✓Resolution Status per conversation: Resolved, Unresolved, or Escalated.
What's missing?
Surveys and support tickets.
✓Agent Gap split into Action Gap (capability missing) vs Knowledge Gap (information missing).
How do users feel?
Not measurable from clicks.
✓User Sentiment estimated per conversation: great, good, or negative.
What changed this week?
Manual cohort pulls.
✓Trend indicators on every metric vs. the previous period.
What happened right before?
Heatmaps, if you set them up.
✓Session Replay of the user's screen with conversation events overlaid.

Early Access · Conversational Analytics reads the Product Agent's conversations — it requires the Product Agent deployed.

Conversational Analytics

Stop guessing. Start reading intent.

Your users are telling you exactly what they want and where the product fails them. In early access for teams already running the Product Agent.

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