> ## Documentation Index > Fetch the complete documentation index at: https://docs.conduktor.io/llms.txt > Use this file to discover all available pages before exploring further. # Kafka Insights dashboard > The Conduktor Insights dashboard identifies Kafka configuration risks, storage costs, governance gaps, and business-critical topics across your clusters. The Insights dashboard helps platform teams: * identify configuration issues before they become outages, * optimize storage costs, * track governance metrics, * monitor business-critical topics. To access the dashboard, click **Insights** on the left menu in Conduktor Console UI. Insights dashboard ## Overview Insights covers four key areas: Identify topics at risk of data loss, poor cluster efficiency or load imbalance. Find empty, stale or tiny topics. Track usage of highly utilized topics. Track schema adoption, serialization formats and Self-service coverage for your VIP topics. ## Access to Insights Access to the Insight information is managed by the RBAC system in Console. The insight information a user sees is based on the permission to view or edit the configuration for a topic. All insight views are filtered to only show data aggregrated across topics where a user has these permissions. ## Metrics summary At the top of the dashboard you'll see a cluster-wide summary of all the metrics: * **Topics** - the number of topics in the cluster * **Partitions** - an aggregate partition count across all topics * **Consumed** - the total number of times topics are consumed by consumer groups * **Topic distribution** - a breakdown of topics by type (internal, streams or user) * **Health score** - the cluster health indicator based on our risk analysis These metrics update dynamically, based on applied filters. ## Filter data Use the filter at the top of the Insights dashboard to narrow down data across all sections. Filters apply globally to the summary metrics, risk analysis, cost control and VIP topics sections. Filter topics by their classification: * **Internal** - internal topics (e.g., `__consumer_offsets`) * **Streams** - Kafka Streams internal topics (e.g., changelog, repartition topics) * **User** - application topics created by you Filter topics by naming patterns: * **prefix** - `my-topics*` or just `my-topics` will filter to all topics whose names starts with "my-topics" * **postfix** - `*my-topics` will filter to all topics whose name ends with "my-topics" * **contains** - `*my-topics*` will filter to all topics whose name contains "my-topics" Filter topics by one or more owning Applications (Self-service) to only see the insight data for topics owned by one or a set of applications. You can also filter topics by labels. Select one or more labels to only see topics with matching labels across all the Insights sections. Clicking a label in any table also applies it as a filter, making it easy to explore related topics. Click **Clear all** to remove all applied filters and return to the full cluster view. ## Export data You can export data as a .zip file containing CSV files. Choose whether to export all available Insights data or only section-specific metrics. When filters are applied, the export includes only the filtered data and file names include a `-filtered` suffix (e.g., `risk-analysis-filtered.csv`) to indicate the data is a subset of the full cluster. Share the export with stakeholders, use it for offline analysis, or archive it for audit purposes. ## Related resources * [Analyze risk ](/guide/insights/risk-analysis) * [Review cost insights](/guide/insights/cost-control) * [Check out business-critical topic insights](/guide/insights/vip-topics) * [Measure data governance maturity](/guide/insights/governance) * [Configure topic settings](/guide/manage-kafka/kafka-resources/topics) * [Set up alerts](/guide/monitor-brokers-apps) * [Give us feedback/request a feature](https://conduktor.io/roadmap)