Turn every agent conversation into a labeled signal of intent, resolution, and gaps.
Watch a 2-minute demo of Conversational Analytics in action.
Every conversation is classified by what the user was trying to do. No event plan, no tagging.
Resolution Status tells you whether the product met the intent, per conversation.
Agent Gap sorts unmet demand into what to build and what to document, ranked by frequency.
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Read what users actually ask the Product Agent, classified by User Intent and broken down by segment or use case.
User Sentiment flags the conversations that turned negative, so you see where users struggle before they churn.
Know exactly who's using the agent and who isn't, with Audiences and Segments by plan, account, or activity.
Active-user and retention trends show whether the agent keeps users coming back, or catch the early signs it doesn't.
Agent Gap surfaces what users asked for that the product couldn't deliver, split into what to build and what to document.
See which conversations resolved, replay the ones that didn't with Session Replay, and fix what's breaking.
Segment agent usage by account to spot adoption gaps before they widen.
Compare time-to-outcome for the agentic path versus the old click path.
Unresolved and Escalated conversations get flagged automatically, and Session Replay shows what went wrong.
Action Gaps rank real demand for features that don't exist yet, so the roadmap follows evidence, not opinion.
A rising Reported Issue line or falling Resolution Rate is an early warning you can act on this week.
Find the high-intent use cases and features users succeed at, and invest in the ones that drive adoption and expansion.
Your users are telling you exactly what they want and where the product falls short. This is how you hear it.