Optimize Granola transcription quality and note performance.
Use when improving transcription accuracy, reducing processing time,
or enhancing note quality.
Trigger with phrases like "granola performance", "granola accuracy",
"granola quality", "improve granola", "granola optimization".
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):
Setup
Accuracy Impact
Recommendation
Wired headset with mic
Highest
Best for solo/remote meetings
USB condenser mic
High
Best for in-office, multiple speakers
Laptop built-in mic
Medium
Acceptable for quiet environments
Bluetooth headset
Variable
May cause dropouts — test first
Speakerphone in room
Low
Echo and distance degrade accuracy
Audio configuration checklist:
Correct input device selected in System Settings > Sound > Input
Input volume at 75-100% (not too low, not clipping)
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:
Practice
Impact
Why It Helps
State names when assigning work
High
"Sarah, can you handle the API spec?" enables correct attribution
Use explicit action language
High
"Action item: review by Friday" — AI detects structured language
One speaker at a time
High
Crosstalk confuses speaker diarization
Summarize decisions verbally
Medium
"So we've decided to go with option B" — AI captures decisions
Spell technical terms first time
Medium
"We'll use Kubernetes, K-U-B-E-R-N-E-T-E-S" — improves accuracy
Type notes during the meeting
High
Your notes give the AI critical context for enhancement
Brief recap at meeting end
Medium
"To summarize, we agreed on X, Y, and Z" — improves summary
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:
Use 5-7 sections max — too many sections dilute content
Include format hints — [Format: - [ ] @person: task] guides the AI
Put Action Items near the end — AI processes sequentially, actions at the end capture the full meeting
Add "Verbatim Quotes" section for customer calls — AI will pull exact language from the transcript
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
Metric
Target
How to Measure
Transcription accuracy
>95% word accuracy
Spot-check 2-3 min of transcript vs. audio
Action item detection
>90% captured
Compare enhanced notes to manual list
Decision accuracy
100% correct
Verify all listed decisions actually happened
Processing time
<2 min for 30-min meeting
Timestamp when meeting ends vs. when notes are ready
Enhancement usefulness
4+/5 team rating
Monthly survey: "How useful are Granola notes?"
Track these monthly. If accuracy drops below target:
Check audio setup (most common cause)
Review template structure
Verify meeting practices are being followed
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
Issue
Cause
Fix
<85% transcription accuracy
Poor microphone or noisy room
Upgrade to wired headset, reduce background noise
Action items missed
Vague language ("someone should...")
Use explicit format: "Action item: @person does X by Y"
Wrong speaker attribution
Crosstalk or no name usage
State names, avoid overlapping speech
Slow processing (>5 min)
Long meeting or server load
Normal for 2+ hour meetings; check status.granola.ai
Hallucinated decisions
AI filling template sections
Review before sharing; remove decisions that didn't happen
