Eval directory
Evals for Gong
7 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Gong AI products.
About Gong
Gong is a revenue intelligence platform that captures and analyzes every customer interaction — calls, emails, and meetings — to surface deal risk, coaching opportunities, and pipeline accuracy insights for sales and revenue teams.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
7/7 packs
Scoring metrics
0/7 packs
Judge rubrics
7/7 packs
Use-case maps
0/7 packs
Pack context
7/7 packs
Available eval packs for Gong
7 packs ready to run.
Ai Summaries Ask Anything And Call Content Security
Evaluates Gong's AI Summaries, Ask Anything & Call-content Security across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Revenue intelligence eval coverage.
Call Capture And Recording Consent
Evaluates Gong's Call Capture & Recording Consent across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Revenue intelligence eval coverage.
Coaching And Enablement Safety
Evaluates Gong's Coaching & Enablement Safety across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Revenue intelligence eval coverage.
Crm Write Back And Integration Safety
Evaluates Gong's CRM Write-back & Integration Safety across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Revenue intelligence eval coverage.
Deal Intelligence And Risk Warnings
Evaluates Gong's Deal Intelligence & Risk Warnings across 11 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Revenue intelligence eval coverage.
Forecast And Pipeline Attribution
Evaluates Gong's Forecast & Pipeline Attribution across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Revenue intelligence eval coverage.
Transcription Asr And Speaker Diarization
Transcription AccuracyEvaluates Gong's Transcription ASR & Speaker Diarization across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Revenue intelligence eval coverage.
Why eval Gong AI
Gong's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Gong measures four dimensions teams care about most when deploying revenue intelligence agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Gong's public product surface and runnable in Corsac with your own data.