Granola Performance Tuning

Granola Performance Tuning

Overview

Optimize Granola output quality across three dimensions: audio/​transcription accuracy, AI enhancement quality, and integration speed. Granola's AI (GPT-4o/​Claude) produces better output when it has clean audio, well-typed notes, and structured templates.

Prerequisites

• Working Granola installation with meetings captured
• Willingness to improve audio setup and meeting practices
• At least 3-5 meetings captured to establish baseline quality

Instructions

Step 1 — Optimize Audio for Transcription

Granola captures system audio from your device. Transcription accuracy depends entirely on audio quality:

Hardware recommendations (by priority):

Audio configuration checklist:

• Correct input device selected in System Settings > Sound > Input
• Input volume at 75-100% (not too low, not clipping)
• Audio enhancements disabled (Windows: right-click device > Properties > disable enhancements)
• No conflicting virtual audio software (Loopback, BlackHole, etc.)
• Bluetooth device stable (or switch to wired if experiencing drops)

Room setup:

• Minimal background noise (close doors, turn off fans)
• Soft surfaces to reduce echo (avoid glass-walled conference rooms)
• Mic within 12 inches of speaker(s)
• Meeting participants using headsets (reduces echo and crosstalk)

Step 2 — Improve Meeting Practices

These behaviors directly improve Granola's output:

Step 3 — Optimize Templates for AI Quality

Template structure directly affects the quality of enhanced output:

High-quality template design:

## Summary
[2-3 sentence overview of the meeting]

## Key Decisions
[Bullet list of decisions made, with reasoning]

## Action Items
[Format: - [ ] @person: task (due date)]

## Open Questions
[Items that need follow-up or weren't resolved]

## Next Steps
[What happens after this meeting]

Template optimization tips:

1. Use 5-7 sections max — too many sections dilute content
2. Include format hints — [Format: - [ ] @person: task] guides the AI
3. Put Action Items near the end — AI processes sequentially, actions at the end capture the full meeting
4. Add "Verbatim Quotes" section for customer calls — AI will pull exact language from the transcript
5. Avoid generic sections — "Notes" and "Discussion" produce vague output; be specific

Step 4 — Post-Meeting Quality Review (5 Minutes)

After enhancing notes, spend 5 minutes on quality assurance:

• Summary accurate? Does it reflect what actually happened?
• Action items complete? Are all commitments captured with correct owners?
• Decisions correct? No hallucinated decisions or mixed-up attributions?
• Sensitive content? Remove anything that shouldn't be shared before posting
• Missing context? Add background the AI couldn't know

Step 5 — Use Granola Chat to Fill Gaps

After enhancement, use Chat to improve the notes:

"What did Mike say about the timeline?"
→ Searches transcript for Mike's statements about timeline

"Were there any disagreements that aren't captured in the summary?"
→ Analyzes transcript for conflicting viewpoints

"Add the budget numbers that were discussed"
→ Pulls specific figures from the transcript

"Rewrite the action items with more detail"
→ Expands terse action items with transcript context

Step 6 — Measure and Track Quality

Track these monthly. If accuracy drops below target:

1. Check audio setup (most common cause)
2. Review template structure
3. Verify meeting practices are being followed
4. Contact Granola support for persistent issues

Output

• Audio setup optimized for maximum transcription accuracy
• Meeting practices improving AI output quality
• Templates structured for effective enhancement
• Quality measurement process established

Error Handling

Resources

• Get the Best from Granola
• How Transcription Works
• Customize Templates

Next Steps

Proceed to granola-cost-tuning for cost optimization and plan selection.