Sentiment page in Assistant analytics

  • Release version: Yokohama
  • Updated October 27, 2025
  • 4 minutes to read
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    Summary of Sentiment Page in Assistant Analytics

    The Sentiment page in Assistant Analytics enables ServiceNow customers to analyze user sentiment through inferred Customer Satisfaction (CSAT) scores and factors such as empathy, frustration, and confusion. This analysis helps improve the quality of user interactions with assistants by providing insights into user satisfaction and emotional feedback.

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    Key Features

    • Overall Sentiment: Displays the average inferred CSAT score on a scale from 0 to 5, allowing you to track changes in user satisfaction over time.
    • Conversations Analyzed: Indicates the total number of conversations analyzed for sentiment, providing a data foundation for CSAT scores.
    • High Empathy Rate: Shows the percentage of conversations with high empathy, calculated to assess the assistant's empathetic responses.
    • Conversations with Negative Emotions: Highlights the prevalence of negative feedback, allowing for targeted improvements to reduce frustration and confusion.
    • Average Inferred CSAT Over Time: Tracks daily average CSAT scores, helping identify periods of improvement or decline in sentiment.
    • Transfers and Escalations Over Time: Monitors the frequency of conversations requiring human intervention, indicated by transfers or escalations to live agents.
    • Assistant Recommended Next Steps: Assesses how clearly the assistant guides users on next actions, rated as low, medium, or high clarity.
    • Conversation Insight Inferred Resolution State: Displays whether user issues were resolved through assistant interactions.
    • Empathy Levels Distribution Over Time: Shows the distribution of empathy levels in assistant responses, aiding in emotional intelligence assessment.
    • Negative Emotion Feedback Over Time: Tracks trends in negative emotions, enabling you to take corrective actions to improve user experience.

    Key Outcomes

    By leveraging the metrics available on the Sentiment page, ServiceNow customers can monitor user satisfaction, identify areas for assistant optimization, and enhance overall user experience. This leads to more effective interactions and improved resolution rates, ultimately driving higher customer satisfaction.

    Analyze user sentiment through customer satisfaction (inferred CSAT) score and CSAT factors such as empathy, frustration and confusion, transfers and escalations from conversations with assistants to improve the quality of user interactions.

    The Sentiment dashboard page aggregates metrics related to user satisfaction, emotional feedback, empathy levels, and conversation outcomes. These metrics enable you to monitor inferred CSAT, track transfers and escalations, analyze empathy distribution, and review negative emotion trends. The insights from these metrics support targeted improvements to assistant behavior, response quality, and overall user experience.
    Figure 1. Sentiment dashboard page in Assistant analytics
    Sentiment dashboard page in Assistant analytics.
    The visualizations on the Sentiment page help you with the following.
    • Monitor user satisfaction and sentiment trends to identify strengths and areas for improvement in assistant interactions.
    • Track emotional feedback and empathy levels, enabling you to address frustration, confusion, and other negative emotions.
    • Analyze conversation outcomes and recommended next steps to guide assistant optimization and enhance resolution rates.
    Overall Sentiment
    This area of the dashboard shows the overall average inferred CSAT score for analyzed conversations in the selected date range. The CSAT score is measured on a scale from 0 to 5, where 0 represents the lowest satisfaction and 5 represents the highest. Use this metric to track changes in sentiment over time and evaluate the impact of assistant updates.
    Figure 2. Overall Sentiment
    Overall Sentiment.
    Conversations Analyzed
    This area of the dashboard shows the total number of conversations analyzed for sentiment in the selected date range. This number indicates the breadth of data supporting CSAT scores.
    Figure 3. Conversations Analyzed
    Conversations Analyzed.
    High Empathy Rate
    This area of the dashboard shows the percentage of conversations where high empathy was detected in assistant responses. It's calculated as ((Number of conversations with high empathy)/(Total number of conversations analyzed)) x 100. High empathy rate is an indication of the assistant's ability to respond with empathy to users queries.
    Figure 4. High Empathy Rate
    High Empathy Rate.
    Conversations with Negative Emotions
    This area of the dashboard shows the percentage of conversations where negative emotional feedback in terms of confusion or frustration was detected. It's calculated as ((Number of conversations with Frustration or Confusion)/(Total number of conversations analyzed)) x 100. This metric highlights the prevalence of negative experiences in assistant interactions. Use the metric to monitor and reduce negative emotion rates through targeted assistant improvements.
    Figure 5. Conversations with Negative Emotions
    Conversations with Negative Emotions.
    Average Inferred CSAT Over Time
    This area of the dashboard shows daily average of inferred CSAT scores in the selected data range. The CSAT scores are measured on a scale from 0 to 5, where 0 represents the lowest satisfaction and 5 represents the highest. This chart highlights periods of improvement or decline in user sentiment.
    Figure 6. Average Inferred CSAT Over Time
    Average Inferred CSAT Over Time.
    Transfers and Escalations Over Time
    This area of the dashboard tracks the number of conversations transferred or escalated to live agent. Hover over the trend line to view the number of conversations transferred or escalated to live agent on a given day. This chart helps you with how often assistants require human intervention.
    Figure 7. Transfers and Escalations Over Time
    Transfers and Escalations Over Time.
    Average Inferred CSAT (Virtual Agent)
    This area of the dashboard shows the average Inferred CSAT score for Virtual Agent interactions in the selected period. For conversations involving both Virtual Agent and live agent, this score reflects only the Virtual Agent CSAT. Scored on a 5-point scale, 0 = least satisfied and 5 = most satisfied. Use this metric to benchmark assistant performance and prioritize improvements where satisfaction is lowest.
    Figure 8. Average Inferred CSAT (Virtual Agent)
    Average Inferred CSAT (Virtual Agent).
    Average Inferred CSAT (Live Agent)
    This area of the dashboard shows the average Inferred CSAT score for live agent interactions in the selected period. For conversations involving both Virtual Agent and live agent, this score reflects only the live agent CSAT. Scored on a 5-point scale, 0 = least satisfied and 5 = most satisfied. Use this metric to benchmark assistant performance and prioritize improvements where satisfaction is lowest.
    Figure 9. Average Inferred CSAT (Live Agent)
    Average Inferred CSAT (Live Agent).
    Average Inferred CSAT (Session)
    This area of the dashboard shows the average Inferred CSAT score for all interactions handled by Virtual Agent or a combination of Virtual Agent and live agent in the selected period. Scored on a 5-point scale, 0 = least satisfied and 5 = most satisfied.
    Figure 10. Average Inferred CSAT (Session)
    Average Inferred CSAT (Session).
    Assistant Recommended Next Steps
    This area of the dashboard shows how clearly the assistant explained what happens next or what the user should do. Low: Conversations where no clear guidance was provided. Medium: Conversations where some guidance was provided. High: Conversations where clear and complete guidance was provided.
    Figure 11. Assistant Recommended Next Steps
    Assistant Recommended Next Steps.
    Conversation Insight Inferred Resolution State
    This area of the dashboard shows the conversations where the user's issue was resolved. Yes: conversations where the assistant met the user's needs. No: conversations where the assistant didn't meet the user's needs. Unknown: conversations where the resolution state couldn’t be determined.
    Figure 12. Conversation Insight Inferred Resolution State
    Conversation Insight Inferred Resolution State.
    Empathy Levels Distribution Over Time
    This area of the dashboard shows the distribution of empathy levels (High, Medium, Low) in assistant responses in the selected date range. Use this chart to assess the emotional intelligence of assistant interactions and target improvements.
    Figure 13. Empathy Levels Distribution Over Time
    Empathy Levels Distribution Over Time.
    Negative Emotion Feedback Over Time
    This area of the dashboard tracks the feedback related to negative emotions: frustration and confusion in conversations with assistants. This chart helps you identify trends in negative user experiences and take necessary steps to reduce the negative feedback.
    Figure 14. Negative Emotion Feedback Over Time
    Negative Emotion Feedback Over Time.