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