Topic intelligence
See what customers ask most and where support quality needs work
Use topic-level analytics to prioritize support improvements and content updates with clear operational signals.
Topic-level conversation analysis
Receiveo analyzes every conversation and surfaces topic-level outcomes so teams understand what customers are repeatedly asking about. Volume, resolution, and sentiment data are broken down per topic, giving support leaders a clear picture of where the assistant performs well and where it falls short. This turns raw conversation logs into structured operational signals that drive knowledge decisions.
Top topics by conversation volume
See which subjects generate the most customer inquiries so you can allocate content resources where they matter most.
Resolution rate visibility per topic
Understand how effectively the assistant resolves each topic, highlighting areas that need stronger knowledge coverage.
Trend signals over time windows
Track whether topic volume is rising, falling, or stable across configurable time periods to spot emerging issues early.
Pain-topic detection
The dashboard highlights topics that combine high conversation volume with weak resolution or poor sentiment outcomes, making it easy to spot customer frustration patterns. Pain scoring gives each topic a composite rank so teams know exactly which areas deserve immediate attention. Instead of reacting to individual complaints, support leaders can proactively address systemic gaps.
Pain scoring from outcome and volume signals
Composite scoring blends resolution rates, sentiment, and volume into a single priority metric for each topic.
Critical topic identification for triage
Automatically surfaces the most critical topics so teams can triage without manually reviewing every conversation.
Actionable prioritization for support leaders
Provides a ranked view that support managers can use directly in weekly planning and content improvement cycles.
Knowledge improvement loop
Topic intelligence helps teams decide exactly where to expand pages, snippets, or custom answers to improve future AI performance. By linking pain topics directly to knowledge gaps, teams can create targeted content that addresses the root cause of poor outcomes. After publishing updates, the same topic metrics show whether the changes actually reduced pain and improved resolution.
Connect topics to knowledge gaps
Link underperforming topics directly to open knowledge gaps so remediation efforts are always grounded in real data.
Prioritize high-impact content updates
Focus authoring time on the topics that will deliver the biggest improvement to overall assistant quality.
Track improvement after publishing updates
Monitor topic metrics after content changes to validate that new knowledge is actually improving outcomes.
Prioritize with evidence, not guesswork
Topic intelligence connects volume, resolution, and trend movement so teams can focus on the issues that matter most.
Focused prioritization
Spot which topics deserve immediate content and process changes.
Trend tracking
Monitor topic movement over time to validate improvement efforts.
Faster improvement loops
Tie topic pain to knowledge updates and measure change after release.
FAQ
Topic intelligence FAQs
What does topic intelligence show?
It shows top topics, pain topics, and trend direction so support teams can focus on the highest-impact customer issues. Learn more
How should teams act on pain topics?
Use pain topics to prioritize new knowledge content and close recurring gaps through snippets, pages, or custom answers. Learn more
Is this tied to conversation outcomes?
Yes. Topic views are tied to conversation-level outcomes like resolution and sentiment metrics. Learn more
Launch a conversation layer your whole GTM team can use.
Unify grounded AI, web and WhatsApp coverage, human handoff, and conversation analytics without stitching together separate tools.