granola-performance-tuning

Granola Performance Tuning

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Install skill "granola-performance-tuning" with this command: npx skills add jeremylongshore/claude-code-plugins-plus-skills/jeremylongshore-claude-code-plugins-plus-skills-granola-performance-tuning

Granola Performance Tuning

Contents

  • Overview

  • Prerequisites

  • Instructions

  • Output

  • Error Handling

  • Examples

  • Resources

Overview

Optimize Granola for best transcription accuracy and note quality through audio setup, meeting practices, and template design.

Prerequisites

  • Working Granola installation

  • Active meetings to optimize

  • Willingness to invest in audio quality

Instructions

Step 1: Optimize Audio Setup

Factor Impact Optimization

Background noise High Use quiet room, noise cancellation

Echo/reverb High Soft furnishings, smaller room

Distance from mic Medium Within 12 inches

Multiple speakers Medium Use identification phrases

Step 2: Improve Meeting Practices

  • State names when addressing people

  • Summarize decisions verbally

  • Spell out technical terms and acronyms

  • One person speaking at a time

  • Use explicit action item language

Step 3: Optimize Templates

Use structured templates with headers (AI parses better), pre-filled context, standard action item format (- [ ] What (@who, by when) ).

Step 4: Post-Meeting Review (5 min)

  • Correct transcription errors

  • Add context AI missed

  • Verify action items complete

  • Add document links

  • Tag key decisions

Step 5: Optimize Integrations

Use instant Zapier triggers, batch updates to Notion/CRM, minimize Zap steps.

See detailed implementation for microphone recommendations, room checklist, template examples, processing speed expectations, and accuracy improvement techniques.

Output

  • Audio setup optimized for transcription

  • Meeting practices improving accuracy

  • Templates structured for AI parsing

  • Integration latency minimized

Error Handling

Error Cause Solution

Low accuracy (<85%) Poor microphone Upgrade to quality headset or USB mic

Missing action items Unclear language Use explicit "Action item:" prefix

Slow processing Large meeting Normal: expect 1 min per 10 min meeting

Wrong speaker attribution Crosstalk State names, avoid overlapping speech

Examples

Performance Metrics to Track

Metric Target How to Measure

Transcription accuracy

95% Sample review

Action item detection

90% Compare to meeting

Processing time <5 min Timestamp comparison

Note usefulness 4+/5 Team survey

Resources

  • Granola Quality Tips

  • Audio Equipment Guide

Next Steps

Proceed to granola-cost-tuning for cost optimization strategies.

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