What kind of analytics or insights does Rozz provide regarding user questions and chatbot performance?

Brief answer

• Rozz provides a dashboard with usage and performance metrics (global counts, trends, latency, busiest hours), searchable Q&A logs, device/language breakdowns, editable cached responses, and a word cloud to surface common user intents.

Details

• Global Metrics: total queries, unique conversations, average queries per conversation, and error counts — quick health/usage signals.
• Questions & Answers Reporting: a fully searchable table showing user-submitted questions alongside Rozz’s generated answers (useful for spotting problem areas or misanswers).
• Interactive Cache Management: edit cached responses from the dashboard (cache retention: 2 months).
• Device & Language Breakdown: shows which devices and languages users use most.
• Time-series Graphs: metrics by day and by month to spot trends and peaks.
• Conversations Per Hour: identifies busiest times of day for staffing/content scheduling.
• Query Duration Distribution: measures response latency distribution to monitor performance.
• Word Cloud of Questions: visualizes frequent words/topics to surface primary user intents.
• Workflow/Actionability: these analytics are explicitly intended to help monitor performance, refine cached responses, identify trends, and feed Rozz’s GEO/Q&A pipeline so common questions can become discoverable content across AI platforms.

Sources

• What's Included in the Rozz Dashboard?
• Why is Website Search Broken and How Can We Fix It?

Would you like to see a sample dashboard view or do you need metrics exported via API or CSV?