The Zia dashboard brings all Zia usage data into one centralized, visual interface so you can track feature adoption trends across various AI capabilities including intelligent recommendations, Code Generator, Solution Assist, and Sentiment Analysis. Whether you are evaluating uptake, tracking token consumption, monitoring user engagement, or identifying underused capabilities, this dashboard gives the visibility you need to stay informed.
Track how often Zia auto-applies predictions for key request fields like category, priority, technician, and group, revealing the uptake of predictive AI in daily ticket operations. With these insights, understand where AI is actively reducing manual effort in ticket triaging.

Text Assist
Reply Assist
Request Auto Approval
Microsoft Teams
Code Generator
Conversation Summary
Solution Generator
Drill into usage counts for every GenAI-powered capability, and even spotlight overall and individual token consumption to evaluate adoption rates. Compare engagement across ChatGPT, Azure OpenAI, and the native Zia LLM to identify the optimal LLM that delivers on ROI.
Measure how frequently Zia's Solution Assist is triggered to retrieve and summarize solutions from the knowledge base. This widget counts both AI-generated knowledge summaries shared via the Zia chatbot and automatic solution suggestions in the request acknowledgement emails. Use these insights to strengthen knowledge management and boost self-service.
Gain clarity on how your service desk is perceived through overall sentiment summaries that highlight positive, negative, and neutral interactions. Drill down to assess how individual technicians contribute to these sentiments, and use those insights to strengthen communication and build a more empathetic support experience.
Observe adoption trends across chatbot actions and blended conversations by monitoring invocation volumes, success rates, usage statistics, and top-performing actions and conversation flows to streamline and enhance support experiences that truly resonate with users.
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