Analytics Annotations for AI Assistant Launches

analytics • annotations • ai-assistant

Analytics Annotations for AI Assistant Launches

Dashboards need context. Annotate major events so stakeholders stop guessing.

Events to annotate

  • Prompt version release
  • Crawl run completion or failure
  • Adaptive threshold change
  • New locale or embed launch
  • Billing grace period start/end
  • Incident response or kill switch
  • SSO enablement for a tenant

Implementation

  • Store annotations in a simple table with timestamp, event type, tenant, message, and links.
  • Expose an API/UI for ops to add notes manually.
  • Auto-generate annotations from audit logs (prompt update, crawl run) so no one forgets.

Dashboard integration

  • Display annotations as markers on timeseries charts (e.g., containment, impressions).
  • Filter by tenant or embed to keep noise low.
  • Include annotation feed alongside metrics for quick scanning.

Ops workflow

  • Require annotations for every prompt change or crawl run.
  • Review them during weekly ops meetings; ensure corrective actions are linked.
  • Export annotations with analytics when tenants request raw data.

CrawlBot example

CrawlBot’s analytics service attaches prompt_version, crawl_run_id, and fallback_reason to every event, making annotations automatic. Copy this approach to keep stakeholders aligned.***