granola-observability

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English

🇨🇳

Translation

Chinese

Granola Observability

Granola可观测性

Overview

概述

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

监控Granola使用情况、跟踪会议指标并深入了解团队生产力。

Prerequisites

前提条件

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

Granola商业版或企业版套餐
组织指标的管理员权限
分析目标端（可选：BI工具）

Built-in Analytics

内置分析功能

Dashboard Metrics

仪表板指标

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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

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Accessible at: Settings > Analytics

Metrics Available:

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

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Individual Metrics

个人指标

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Personal Analytics

View at: Profile > Activity

Metrics:

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

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View at: Profile > Activity

Metrics:

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

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Key Metrics to Track

需跟踪的关键指标

Usage Metrics

使用指标

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%

指标	描述	目标值
采用率	活跃用户数 / 总用户数	> 80%
捕获率	已录制会议数 / 符合条件的会议数	> 70%
编辑率	已编辑笔记数 / 已创建笔记数	> 50%
共享率	已共享笔记数 / 已创建笔记数	> 60%

Quality Metrics

质量指标

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

指标	描述	目标值
行动项识别率	AI识别的行动项数 / 实际行动项数	> 90%
转录准确率	正确字数 / 总字数	> 95%
用户满意度	调研评分	> 4.0/5.0

Efficiency Metrics

效率指标

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%

指标	描述	计算方式
节省时间	每场会议节省的分钟数	~20分钟
跟进速度	分享笔记的耗时	< 10分钟
行动项完成率	已完成行动项数 / 已创建行动项数	> 80%

Custom Analytics Pipeline

自定义分析流程

Export to Data Warehouse

导出至数据仓库

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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

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Trigger: New Granola Note

Load: Destination: BigQuery Dataset: meetings Table: granola_notes

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Schema Design

Schema设计

sql

-- 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;

sql

-- 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

分析查询语句

sql

-- 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;

sql

-- 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

仪表板

Metabase/Looker Dashboard

Metabase/Looker仪表板

yaml

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 template

  6. Adoption Trend:
     Type: Area chart
     Metric: Active users over time
     Timeframe: Last 6 months

yaml

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 template

  6. Adoption Trend:
     Type: Area chart
     Metric: Active users over time
     Timeframe: Last 6 months

Slack Reporting

Slack报告

yaml

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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}}

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Schedule: Every Monday 9 AM

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

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Health Monitoring

健康监控

System Health Checks

系统健康检查

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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

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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

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Alerting Rules

告警规则

yaml

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yaml

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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

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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

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Meeting Intelligence

会议智能

Pattern Analysis

模式分析

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Meeting Patterns Report

Weekly Analysis:

Meeting distribution by day
Peak hours analysis
Average meeting duration trends
One-on-one vs group ratio
External vs internal meeting ratio

Monthly Analysis:

Meeting time per person
Action item completion rates
Cross-functional meeting frequency
Recurring meeting effectiveness

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Weekly Analysis:

Meeting distribution by day
Peak hours analysis
Average meeting duration trends
One-on-one vs group ratio
External vs internal meeting ratio

Monthly Analysis:

Meeting time per person
Action item completion rates
Cross-functional meeting frequency
Recurring meeting effectiveness

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Insights Queries

洞察查询语句

sql

-- 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;

sql

-- 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

导出与报告

Scheduled Reports

定时报告

yaml

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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: leadership@company.com

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Schedule: 1st of month

Content:

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

Format: PDF Recipients: leadership@company.com

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API Export

API导出

bash

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bash

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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"] }'

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Resources

资源

Next Steps

后续步骤

Proceed to

granola-incident-runbook

for incident response procedures.

如需了解事件响应流程，请查看

granola-incident-runbook

。