Review conversation evaluation scores
task brazil Updated Sep 23, 2026 1 min read mv-review-conversation-evaluation-scores.md
Review auto-evaluation scores for Virtual Agent conversations in AI Control Tower to track conversation quality over time.
Before you begin
Role required: sn_ai_governance.ai_steward, interaction_admin
About this task
Compare the average auto-evaluation score with the average human feedback score to check how closely automated ratings match human judgment.
Procedure
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Navigate to All > AI Control Tower > Insights > ServiceNow AI > **** > Evaluation.
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Select the Evaluation tab.
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In the Select metric list, select a metric and then select Apply.
Select User Satisfaction to view the combined score, or select an individual metric, such as Intent Accuracy or Slot Filling.
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In the Select date range list, select the time period to review.
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Review the Evaluation score trend chart.
Related topics
Keywords reviewconversation evaluationAI Control Tower
48 lines · 1.9 KB
---
title: Review conversation evaluation scores
description: Review auto-evaluation scores for Virtual Agent conversations in AI Control Tower to track conversation quality over time.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/mv-review-conversation-evaluation-scores.html
release: brazil
topic_type: task
last_updated: "2026-09-23"
reading_time_minutes: 1
keywords: [review, conversation evaluation, AI Control Tower]
breadcrumb: [Evaluate conversations, Use, Measure AI system, Measure AI systems, AI Control Tower, Establishing AI governance, Enable AI Experiences]
---
# Review conversation evaluation scores
Review auto-evaluation scores for Virtual Agent conversations in AI Control Tower to track conversation quality over time.
## Before you begin
Role required: sn\_ai\_governance.ai\_steward, interaction\_admin
## About this task
Compare the average auto-evaluation score with the average human feedback score to check how closely automated ratings match human judgment.
## Procedure
1. Navigate to **All** > **AI Control Tower** > **Insights** > **ServiceNow AI** > **** > **Evaluation**.
2. Select the **Evaluation** tab.
3. In the **Select metric** list, select a metric and then select **Apply**.
Select **User Satisfaction** to view the combined score, or select an individual metric, such as **Intent Accuracy** or **Slot Filling**.
4. In the **Select date range** list, select the time period to review.
5. Review the **Evaluation score trend** chart.
**Related topics**
[Conversational evaluator](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/mv-conversational-evaluator.md)
[Calculate Virtual Agent cost savings](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/mv-calculate-virtual-agent-cost-savings.md)
| title | Review conversation evaluation scores |
| description | Review auto-evaluation scores for Virtual Agent conversations in AI Control Tower to track conversation quality over time. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/mv-review-conversation-evaluation-scores.html |
| release | brazil |
| topic_type | task |
| last_updated | 2026-09-23 |
| reading_time_minutes | 1 |
| keywords | reviewconversation evaluationAI Control Tower |
| breadcrumb | Evaluate conversationsUseMeasure AI systemMeasure AI systemsAI Control TowerEstablishing AI governanceEnable AI Experiences |