WorkflowRun event log
Glean Assistant and Glean Agents interactions run as workflows. The WorkflowRun event type in Glean Customer Event Logs captures each top-level workflow invocation as a single, well-structured entry, giving you comprehensive visibility into usage across Glean AI products — including agents, AI Answers, Summarization, Deep Research, Daily Digests, and more.
Because it consolidates all relevant execution data in one place, WorkflowRun makes analysis of assistant usage, agent activity, and AI-driven features simpler, more reliable, and more performant.
The following users might be interested in the WorkflowRun event log:
- Admins: Managing analytics pipelines, log integrations, and product dashboards
- Data and business analysts: Building queries or KPI dashboards from Glean event logs
- Developers and IT: Who join Glean logs with other systems or manage feature adoption
- End users: Relying on metrics or dashboards powered by workflow data
Key fields in WorkflowRun
Each WorkflowRun event includes:
For a detailed description of these fields, see Event schemas.
Relationship to Chat and Workflow logs
Glean AI usage is represented across three event types:
CHAT: Base chat interactions.WORKFLOW_RUN: Comprehensive workflow tracking. Use this event type for workflow, agent, and AI-feature metrics.WORKFLOW(Deprecated): Replaced byWORKFLOW_RUN. Doesn't receive new data.
WorkflowRun became the source of truth for workflow metrics when it replaced the Workflow log in June 2025. If you analyze historical data that spans that cutover, join across Chat, Workflow, and WorkflowRun to get complete metrics for that period; for data after the cutover, use WorkflowRun exclusively. See Sample queries for stitching queries that cover the transition.
Common use cases
- Agent usage analysis: Track user engagement with custom agents.
- Agent usage analysis: Track user engagement with custom agents
- AI feature adoption: Monitor usage of AI Answers, Summarization, and more
- Performance monitoring: Analyze workflow execution times and success rates
- User behavior insights: Understand how users interact with AI features
- Performance monitoring: Analyze workflow execution times and success rates.
- User behavior insights: Understand how users interact with AI features.
See Sample queries for detailed examples of working with WorkflowRun data.
Frequently asked questions
See also
Need help?
Still have questions or want implementation advice? Reach out to your Glean admin.