granola-migration-deep-dive

Granola Migration Deep Dive

Overview

Comprehensive guide for migrating to Granola from competing meeting note tools. Covers source-specific export procedures, historical data preservation, parallel-run strategy, team transition, and cutover execution. Granola's key differentiator — no bot joins meetings — means the migration also changes the user experience fundamentally.

Prerequisites

• Access to source tool with export capability
• Granola workspace configured (see granola-install-auth)
• Migration timeline agreed with stakeholders
• Budget approved for Granola licenses

Instructions

Step 1 — Assess Migration Scope

## Migration Assessment

Source tool: [Otter.ai / Fireflies / Fathom / tl;dv / Manual / Other]
Total meetings in source: [____]
Date range: [____] to [____]
Active users to migrate: [____]
Integrations to recreate: [Slack, Notion, CRM, etc.]
Historical data priority: [Archive all / Selective / Fresh start]
Target cutover date: [____]
Parallel run duration: [1 week / 2 weeks]

Step 2 — Source-Specific Export

From Otter.ai

• Export format: TXT, SRT (subtitles), PDF
• Bulk export: Otter Pro/Business: Settings > Export > Download All
• Limitations: Free plan only exports individual notes
• Key data: Transcripts with timestamps, speaker labels, action items

From Fireflies.ai

• Export format: TXT, JSON, PDF, SRT
• Bulk export: Admin > Data Management > Export
• Limitations: Custom fields may not export
• Key data: Transcripts, AI summaries, custom topics

From Fathom

• Export format: Markdown, CSV, video clips
• Bulk export: Settings > Data > Export All
• Limitations: Video clips don't transfer
• Key data: Meeting summaries, action items, highlights

From tl;dv

• Export format: TXT, video recordings
• Bulk export: Settings > Data Export
• Limitations: AI highlights may not transfer
• Key data: Transcripts, timestamps, meeting recordings

From Manual Notes (Google Docs, Notion, Confluence)

• Already in accessible format
• No export needed — archive in place
• Focus on establishing the Granola workflow going forward

Step 3 — Choose Migration Strategy

Recommended for most teams: Fresh Start or Selective. Granola doesn't import historical data from other tools — there's no import feature. Historical data lives in your archive (Notion, Google Drive, local files).

Step 4 — Archive Historical Data

For important historical meetings, archive before cutting over:

#!/usr/bin/env python3
"""Organize exported meeting notes for archival."""
import os
from pathlib import Path

EXPORT_DIR = Path("~/Downloads/otter-export").expanduser()  # Adjust for your source
ARCHIVE_DIR = Path("~/Documents/meeting-archive").expanduser()

# Create organized archive structure
categories = {
    "client": ["client", "customer", "deal", "sales", "demo"],
    "engineering": ["sprint", "standup", "architecture", "review", "retro"],
    "product": ["product", "prd", "design", "feedback", "roadmap"],
    "leadership": ["all-hands", "board", "strategy", "planning"],
    "general": [],  # catch-all
}

ARCHIVE_DIR.mkdir(parents=True, exist_ok=True)
for cat in categories:
    (ARCHIVE_DIR / cat).mkdir(exist_ok=True)

for file in EXPORT_DIR.glob("*.txt"):
    filename_lower = file.name.lower()
    placed = False
    for cat, keywords in categories.items():
        if any(kw in filename_lower for kw in keywords):
            dest = ARCHIVE_DIR / cat / file.name
            file.rename(dest)
            placed = True
            break
    if not placed:
        (ARCHIVE_DIR / "general" / file.name).rename(file)

print(f"Archived to {ARCHIVE_DIR}")

Alternatively, upload the archive to Notion or Google Drive for team-wide searchability.

Step 5 — Parallel Run (2 Weeks)

Run both tools simultaneously to build confidence:

Week 1: Dual recording

• Keep source tool active (bot still joins or captures)
• Enable Granola on all meetings (system audio capture)
• Compare output quality daily:

Week 2: Granola primary

• Keep source tool as backup only (disable auto-record if possible)
• All sharing and distribution via Granola integrations
• Team members report any quality issues

Step 6 — Cutover Execution

Cutover day checklist:

• Final export from source tool (last day of data)
• Verify archive is complete and accessible
• Disable source tool recording/bot
• Remove source tool bot from calendar (if applicable)
• Cancel source tool subscription (save on unused billing)
• Announce to team via email/Slack:

Subject: Meeting Notes Migration Complete — Granola is Now Primary

Team,

As of today, we've completed our migration to Granola for meeting notes.

What's changed:
- No more [Otter/Fireflies/etc.] bot joining meetings
- Granola captures audio directly from your device (no bot visible to participants)
- Notes are auto-enhanced with AI summaries and action items

What you need to do:
1. Ensure Granola is running on your device
2. Verify your calendar is connected (Settings > Calendar)
3. Check that microphone + Screen & System Audio permissions are granted

Historical notes: Archived at [Notion link / Drive folder]
Support: Post in #granola-support

Thank you for the smooth transition!

• Monitor for 3 days:
  • Capture rate (% of meetings recorded)
  • Support ticket volume
  • User feedback
  • Integration sync health

Step 7 — Post-Migration Optimization

After 1 week on Granola exclusively:

• Configure templates for each meeting type (see granola-core-workflow-a)
• Set up Zapier automation for recurring workflows
• Create custom recipes for team-specific post-meeting tasks
• Establish folder structure matching team workflow
• Delete source tool accounts and data (if no longer needed)

Key Differences from Bot-Based Tools

Output

• Source data exported and archived
• Parallel run completed with quality validation
• Team migrated and recording in Granola
• Source tool deactivated and subscription cancelled
• Historical data accessible in archive

Error Handling

Resources

• Granola Setup Guide
• Granola vs Otter Comparison
• Granola Free Trial
• Granola for Sales Teams

Next Steps

After migration, explore granola-performance-tuning to optimize output quality.