# Monitoring - [Analytics](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics.md): Easily track conversation performance and the metrics that matter with NLX - [Creating dashboards](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/creating-dashboards.md): Learn to construct powerful data visualizers for monitoring key metrics in your NLX workspace - [Formulas & multi-metrics](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/formulas-and-multi-metrics.md): Learn to apply calculated metrics to analytics dashboards in your NLX workspace - [Canvas analytics](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/canvas-analytics.md): Quickly analyze usage of your conversation flow in in NLX - [Analytics tags](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/analytics/analytics-tags.md): Define custom tags in your workspace to track performance of conversations in your NLX workspace - [User feedback](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/user-feedback.md): Collect user feedback on AI replies easily with the NLX platform - [Conversation history](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/conversation-history.md): Review past conversation history between users and applications in your NLX workspace - [Alerts & notifications](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/alerts-and-notifications.md): Review notifications and setup alert subscriptions in your NLX workspace - [Resource tags](https://docs.nlx.ai/platform/nlx-platform-guide/monitoring/resource-tags.md): Define custom tags in your workspace to better organize resources in your NLX workspace --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.nlx.ai/platform/nlx-platform-guide/monitoring.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.