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What are Gaps?

Gaps represent questions your AI couldn’t answer or actions it couldn’t perform. Thunder automatically detects these moments and categorizes them, helping you understand where your AI falls short. There are two types of gaps:

Why Gaps Matter

Gaps are your roadmap for AI improvement. They tell you:
  • What knowledge to add - Specific topics users ask about that your AI can’t answer
  • What tools to build - Capabilities users expect but don’t exist yet
  • How often they occur - Which gaps affect the most users
  • Recent trends - What users are asking about now

Gap Metrics

Querying Gaps

Most Common Gaps

Find your most frequent unanswered questions:
Response:

Filter by Gap Type

Find only knowledge gaps or only tool gaps:

Recent Gaps

Find gaps from the last 7 days to see what users are asking about now:
Track how gaps change week over week:

Finding Sessions with Gaps

See the actual conversations where a gap occurred:
This returns all sessions where that specific gap was detected, along with the conversation summary and related topics.

Use Cases

Knowledge Base Priorities

Use knowledge gap frequency to decide what documentation or training data to add first.

Feature Roadmap

Tool gaps show what integrations and capabilities users want most.

Measure AI Improvement

Track gap frequency over time to verify that updates are working.

Topic Correlation

Cross-reference gaps with topics to understand which subject areas have the most missing information.

See Querying Metrics for more query patterns and the full field reference.