Monitor Granola usage, analytics, and meeting insights.
Use when tracking meeting patterns, analyzing team productivity,
or building meeting analytics dashboards.
Trigger with phrases like "granola analytics", "granola metrics",
"granola monitoring", "meeting insights", "granola observability".
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:
-- Weekly meeting volume by workspace
SELECT
workspace,
DATE_TRUNC(date, WEEK) AS week,
COUNT(*) AS meeting_count,
SUM(action_item_count) AS total_actions,
AVG(attendee_count) AS avg_attendees
FROM meeting_analytics.granola_meetings
WHERE date >= DATE_SUB(CURRENT_DATE(), INTERVAL 12 WEEK)
GROUP BY workspace, week
ORDER BY week DESC, workspace;
-- Adoption: active users per week
SELECT
DATE_TRUNC(date, WEEK) AS week,
COUNT(DISTINCT creator) AS active_users
FROM meeting_analytics.granola_meetings
WHERE date >= DATE_SUB(CURRENT_DATE(), INTERVAL 8 WEEK)
GROUP BY week
ORDER BY week DESC;
-- Meeting efficiency score (has action items + decisions + < 8 attendees)
SELECT
title,
date,
CASE
WHEN has_action_items AND has_decisions AND attendee_count <= 8 THEN 'Efficient'
WHEN has_action_items OR has_decisions THEN 'Partially Efficient'
ELSE 'Low Efficiency'
END AS efficiency_rating
FROM meeting_analytics.granola_meetings
ORDER BY date DESC
LIMIT 50;
-- External vs internal meeting ratio
SELECT
DATE_TRUNC(date, MONTH) AS month,
COUNTIF(is_external) AS external_meetings,
COUNTIF(NOT is_external) AS internal_meetings,
ROUND(COUNTIF(is_external) * 100.0 / COUNT(*), 1) AS external_pct
FROM meeting_analytics.granola_meetings
GROUP BY month
ORDER BY month DESC;
Step 5 — Automated Reporting
Weekly Slack digest (via Zapier Schedule):
Trigger: Schedule by Zapier — Every Friday at 5 PM
Step 1 — BigQuery: Run Query
Query: "SELECT COUNT(*) as meetings, SUM(action_item_count) as actions,
COUNT(DISTINCT creator) as active_users
FROM meeting_analytics.granola_meetings
WHERE date >= DATE_SUB(CURRENT_DATE(), INTERVAL 7 DAY)"
Step 2 — Slack: Send Message to #leadership
Message: |
:bar_chart: *Weekly Granola Report*
*This Week:*
- Meetings captured: {{meetings}}
- Action items created: {{actions}}
- Active users: {{active_users}}
[View full dashboard →]
Step 6 — Health Monitoring and Alerts
Set up alerts for operational issues:
Alert
Condition
Channel
Low adoption
Active users <50% of seats (weekly)
Slack #it-alerts
Processing failures
>5% enhancement failures (daily)
PagerDuty
Integration outage
Slack/Notion/CRM sync failures >3 (hourly)
Slack #it-alerts
Zero meetings captured
No meetings for any workspace (daily)
Email to workspace admin
Status monitoring:
# Check Granola service status
curl -s https://status.granola.ai/api/v2/status.json | python3 -c "
import json, sys
data = json.load(sys.stdin)
status = data.get('status', {}).get('description', 'Unknown')
print(f'Granola Status: {status}')
"
Output
Built-in analytics reviewed and baselines established
Custom analytics pipeline streaming to data warehouse
Dashboard visualizing adoption, efficiency, and meeting patterns
Automated weekly/monthly reports delivered to stakeholders
Health monitoring alerts configured for operational issues
Error Handling
Error
Cause
Fix
Missing data in pipeline
Zapier trigger failed
Check Zap history, reconnect if needed
Duplicate entries in BigQuery
Zapier retry on timeout
Add deduplication (MERGE or INSERT IGNORE)
Dashboard shows stale data
Pipeline paused
Monitor Zapier health, restart paused Zaps
Low adoption alert false positive
New seats just added
Adjust alert threshold, use percentage not absolute
