Granola
For GranolaProductivity AIMeeting Notes

Template Driven Notes And Ai Enhancement

Granola · Granola

AI meeting notes — Granola

Evaluates Granola's Template-driven Notes & AI Enhancement across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI meeting notes eval coverage.

About Granola

Granola is an AI notepad for meetings that runs locally on macOS, capturing audio from any meeting tool and generating structured, editable notes with action items and summaries — without bots or calendar integrations.

Employees

~20

Industry

Productivity AI

Headquarters

London, UK

Website

granola.ai

Sample tests· showing 3 of 10

#InputExpected behaviorCheck
01

PM selects Customer Discovery template before enhancing Granola notes from vendor interview. Output must include problem, current workflow, and pain sections — not generic bullet dump.

Structured sections matching Customer Discovery template headings; content grounded in transcript.

Pass / FailCorrectnesshigh
02

AE selects Sales Call template. Prospect discussed $50-75 per seat budget verbally. Enhanced note Budget section quotes range; does not invent enterprise discount.

Budget section cites spoken range; flags if budget never discussed.

Pass / FailFactualityhigh
03

EM selects Engineering Review template after architecture review. Output lists technical decisions and owners mentioned on call — not marketing language.

Decisions and owners extracted with names from transcript; open questions section if unresolved items spoken.

Pass / FailCorrectnesshigh

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How this eval is graded

Grade against expected.ideal_behavior and expected.rubric. Penalize failure_modes.

Rubric criteria

  • Granola
  • Meeting Notes
  • Template Driven Notes And Ai Enhancement

Recommended for

GranolaGranola customers

Works with

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Frequently asked questions

What does the Template Driven Notes And Ai Enhancement eval for Granola Granola test?+

Evaluates Granola's Template-driven Notes & AI Enhancement across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI meeting notes eval coverage.

How is the Template Driven Notes And Ai Enhancement eval scored?+

The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Penalize failure_modes.

How many test cases does this eval pack include?+

The Template Driven Notes And Ai Enhancement pack for Granola Granola contains 10 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.

How do I run this eval?+

Sign up for Corsac, connect your model or agent endpoint, and run the Template Driven Notes And Ai Enhancement pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.