Use Case - Advanced Status Labels for Confluence
AI Sentiment Dashboards for Jira Service Management
Visualize real-time customer sentiment trends and drill into issues to proactively manage satisfaction and service quality at scale.












Use Case
AI Sentiment Dashboards for Jira Service Management
Challenge:
Enterprise service teams often struggle to get a clear, timely picture of overall customer satisfaction without relying on traditional surveys, which can be slow, intrusive, and suffer from low response rates. Without aggregated sentiment insights, identifying trends, pinpointing problem areas, and measuring agent performance at scale becomes difficult, delaying critical interventions and continuous improvement efforts.

How the Functionality Solves This:
AI Insights automatically aggregates and visualizes customer and agent sentiment data at the project level, presenting key metrics like current customer satisfaction scores, trends over time, and detailed sentiment breakdowns. These interactive dashboards allow managers to easily spot shifts in sentiment and drill down into issues driving dissatisfaction—directly from the project sidebar. The ability to click on negative sentiment segments and access a list of problematic issues streamlines the workflow for proactive interventions. Managers and agents can reply within the issue context to address concerns immediately, helping prevent escalations and improving overall service quality without waiting for survey responses.

How It’s Better Than Default JSM Functionality:
Jira Service Management’s native reporting provides basic metrics but lacks real-time emotional analysis and interactive drill-down capabilities based on sentiment. AI Insights delivers richer, dynamic sentiment intelligence embedded directly in the project view, removing dependency on manual survey collection. Its intuitive charts and instant access to flagged issues enable enterprise teams to move faster on improving customer satisfaction and agent effectiveness, turning raw data into actionable insights at scale.
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