granola-observability

name	granola-observability
description	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".
allowed-tools	Read, Write, Edit
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>

Granola Observability

Overview

Monitor Granola usage, track meeting metrics, and gain insights into team productivity.

Prerequisites

• Granola Business or Enterprise plan
• Admin access for organization metrics
• Analytics destination (optional: BI tool)

Built-in Analytics

Dashboard Metrics

## Granola Admin Dashboard

Accessible at: Settings > Analytics

Metrics Available:
- Total meetings captured
- Meeting hours per week
- Active users
- Notes shared
- Action items created
- Integration usage

Individual Metrics

## Personal Analytics

View at: Profile > Activity

Metrics:
- Meetings this month
- Time in meetings
- Notes created
- Action items assigned
- Sharing activity

Key Metrics to Track

Usage Metrics

Metric	Description	Target
Adoption Rate	Active users / Total users	> 80%
Capture Rate	Recorded / Eligible meetings	> 70%
Edit Rate	Notes edited / Notes created	> 50%
Share Rate	Notes shared / Notes created	> 60%

Quality Metrics

Metric	Description	Target
Action Item Detection	AI-detected / Actual	> 90%
Transcription Accuracy	Correct words / Total	> 95%
User Satisfaction	Survey score	> 4.0/5.0

Efficiency Metrics

Metric	Description	Calculation
Time Saved	Minutes saved per meeting	~20 min
Follow-up Speed	Time to share notes	< 10 min
Action Completion	Actions done / Actions created	> 80%

Custom Analytics Pipeline

Export to Data Warehouse

# Zapier → BigQuery Pipeline

Trigger: New Granola Note

Transform:
  meeting_id: {{note_id}}
  meeting_date: {{date}}
  duration_minutes: {{duration}}
  attendee_count: {{attendees.count}}
  action_item_count: {{action_items.count}}
  word_count: {{transcript.word_count}}

Load:
  Destination: BigQuery
  Dataset: meetings
  Table: granola_notes

Schema Design

-- BigQuery Table Schema
CREATE TABLE meetings.granola_notes (
  meeting_id STRING NOT NULL,
  meeting_title STRING,
  meeting_date DATE,
  start_time TIMESTAMP,
  end_time TIMESTAMP,
  duration_minutes INT64,
  attendee_count INT64,
  attendees ARRAY<STRING>,
  action_item_count INT64,
  word_count INT64,
  workspace STRING,
  shared BOOLEAN,
  created_at TIMESTAMP
);

-- Aggregation View
CREATE VIEW meetings.daily_summary AS
SELECT
  meeting_date,
  COUNT(*) as total_meetings,
  SUM(duration_minutes) as total_minutes,
  AVG(attendee_count) as avg_attendees,
  SUM(action_item_count) as total_actions
FROM meetings.granola_notes
GROUP BY meeting_date;

Analytics Queries

-- Meeting frequency by user
SELECT
  user_email,
  COUNT(*) as meeting_count,
  SUM(duration_minutes) / 60 as hours_in_meetings
FROM meetings.granola_notes
WHERE meeting_date >= DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)
GROUP BY user_email
ORDER BY meeting_count DESC;

-- Action item trends
SELECT
  DATE_TRUNC(meeting_date, WEEK) as week,
  SUM(action_item_count) as actions_created,
  COUNT(*) as meetings
FROM meetings.granola_notes
GROUP BY week
ORDER BY week;

-- Peak meeting times
SELECT
  EXTRACT(HOUR FROM start_time) as hour,
  COUNT(*) as meeting_count
FROM meetings.granola_notes
GROUP BY hour
ORDER BY hour;

Dashboards

Metabase/Looker Dashboard

Dashboard: Granola Analytics

Cards:
  1. Meeting Volume:
     Type: Time series
     Metric: Daily meeting count
     Timeframe: Last 30 days

  2. Active Users:
     Type: Number
     Metric: Unique users (7 days)

  3. Time in Meetings:
     Type: Bar chart
     Metric: Hours per team
     Breakdown: By workspace

  4. Action Items:
     Type: Line chart
     Metric: Actions created vs completed
     Timeframe: Last 90 days

  5. Top Meeting Types:
     Type: Pie chart
     Metric: Meeting count
     Breakdown: By 

  
       
         
        

Slack Reporting

# Weekly Digest Automation

Schedule: Every Monday 9 AM

Slack Message:
  Channel: #leadership
  Blocks:
    - header: "Weekly Meeting Analytics"
    - section:
        text: |
          *Last Week Summary*
          - Meetings: {{total_meetings}}
          - Hours: {{total_hours}}
          - Action Items: {{total_actions}}
          - Completion Rate: {{completion_rate}}%

          *Top Insights*
          - Busiest day: {{busiest_day}}
          - Most meetings: {{top_user}}
          - Largest meeting: {{largest_meeting}}

Health Monitoring

System Health Checks

## Daily Health Check

Automated Monitoring:
- [ ] Granola status page: status.granola.ai
- [ ] Integration connectivity
- [ ] Processing latency
- [ ] Error rate

Manual Weekly Check:
- [ ] User adoption trending up
- [ ] Transcription quality stable
- [ ] Action items being captured
- [ ] Integrations firing correctly

Alerting Rules

# PagerDuty/Slack Alerts

Alerts:
  - name: Processing Failure Spike
    condition: error_rate > 5%
    window: 15 minutes
    severity: warning
    notify: #ops-alerts

  - name: Integration Down
    condition: integration_health != "healthy"
    window: 5 minutes
    severity: critical
    notify: pagerduty

  - name: Low Adoption
    condition: weekly_active_users < 50%
    window: 7 days
    severity: info
    notify: #product-team

Meeting Intelligence

Pattern Analysis

## Meeting Patterns Report

Weekly Analysis:
1. Meeting distribution by day
2. Peak hours analysis
3. Average meeting duration trends
4. One-on-one vs group ratio
5. External vs internal meeting ratio

Monthly Analysis:
1. Meeting time per person
2. Action item completion rates
3. Cross-functional meeting frequency
4. Recurring meeting effectiveness

Insights Queries

-- Meeting efficiency score
WITH meeting_scores AS (
  SELECT
    meeting_id,
    CASE
      WHEN action_item_count > 0 THEN 1 ELSE 0
    END as had_actions,
    CASE
      WHEN duration_minutes <= 30 THEN 1 ELSE 0
    END as efficient_length,
    CASE
      WHEN attendee_count <= 5 THEN 1 ELSE 0
    END as right_sized
  FROM meetings.granola_notes
)
SELECT
  AVG(had_actions + efficient_length + right_sized) / 3 as efficiency_score
FROM meeting_scores;

Export & Reporting

Scheduled Reports

# Monthly Executive Report

Schedule: 1st of month

Content:
  - Total meetings YTD
  - Meeting time per employee
  - Action item velocity
  - Top meeting participants
  - Cost savings estimate

Format: PDF
Recipients: [e-mail]

API Export

# If custom API access available (Enterprise)
curl -X GET "https://api.granola.ai/v1/analytics" \
  -H "Authorization: Bearer $GRANOLA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "start_date": "2025-01-01",
    "end_date": "2025-01-31",
    "metrics": ["meeting_count", "duration", "action_items"]
  }'

Resources

• Granola Analytics Guide
• Admin Dashboard
• Status Page

Next Steps

Proceed to granola-incident-runbook for incident response procedures.