Agent skill · data analytics · jeremylongshore
granola-observability
Monitor Granola adoption, meeting analytics, and build custom dashboards.
Why this skill is useful
Provides domain-specific knowledge on building custom analytics pipelines and metrics for Granola, which the AI wouldn't reliably generate on its own.
What it needs
Requires bigquery, zapier installed locally. Requires granola account access. About 4k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Granola Observability Overview Monitor Granola usage, track meeting patterns, and build analytics dashboards. Granola Enterprise includes a usage analytics dashboard. For deeper insights, build custom pipelines using Zapier to stream meeting metadata to BigQuery, Metabase, or other analytics platforms. Prerequisites Granola Business or Enterprise plan Admin access for organization-level analytics Optional: BigQuery/Metabase for custom dashboards, Zapier for data pipeline Instructions Step 1 — Built-in Analytics (Enterprise) Access the analytics dashboard at Settings > Analytics (Enterprise plan): Metric What It Shows -------- -------------- Total meetings captured Meeting volume over time Active users Users who recorded meetings this period Hours captured Total meeting hours transcribed Notes shared How often notes are distributed Action items created Extracted action items across org Adoption rate Active users / total licensed seats Step 2 — Define Key Metrics Track these metrics to measure Granola's impact: Category Metric Target Formula ---------- -------- -------- --------- Adoption Activation rate >80% Users with 1+ meeting / total seats Adoption Weekly active users >70% Users recording this week / total seats Quality Capture rate >70% Meetings captured / total calendar meetings Quality Share rate >50% Notes shared / notes created Efficiency Time saved >10 min/meeting Survey: manual notes time - Granola time Efficiency Action completion >80% Actions completed / actions created Health Processing success >99% Successful enhancements / total attempts Health Integration uptime >99% Successful syncs / total sync attempts Step 3 — Build a Custom Analytics Pipeline Stream meeting metadata from Granola to a data warehouse via Zapier: BigQuery schema: Step 4 — Analytics Queries Step 5 — Automated Reporting Weekly Slack digest (via Zapier Schedule): Step 6 — Health Monitoring and Alerts Set up alerts for operational issues: Alert Condition Channel ------- ----------- --- …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/granola-observability