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

Short answer — Rozz gives a dashboard with usage & performance metrics, searchable question → answer logs, tooling to edit cached answers, and audience/behavior breakdowns to spot trends and fix responses.

Details

• Global metrics: total queries, unique conversations, average queries per conversation, and error counts.
• Questions & Answers reporting: full searchable table of user questions paired with Rozz’s generated answers to review interactions and spot issues.
• Interactive cache management: edit cached responses directly in the dashboard (cache items retained for 2 months).
• Device & language breakdown: which devices and languages users are using.
• Time-series visualizations: metrics by day and month to see activity trends and peaks.
• Conversations per hour: identifies busiest times of day.
• Query duration distribution: response-time distribution to monitor latency and performance.
• Word cloud of questions: visualizes most-frequent words in queries to surface common user intents.

How you can use it

• Monitor performance (errors, latency, volume).
• Improve answers quickly via cache edits and by reviewing question → answer logs.
• Understand audience preferences (device, language, peak times).
• Identify content gaps and trends (word cloud, searchable Q&A) to feed the GEO optimization pipeline and create new AI-optimized Q&A pages.

Sources

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

Follow-up question: Which of these analytics would you prioritize for your site — performance/latency, answer accuracy/content quality, or user behavior/intent?