> ## Documentation Index > Fetch the complete documentation index at: https://user-docs.seaticket.ai/llms.txt > Use this file to discover all available pages before exploring further. # Exploring and Discovering Insights The topic map lets you visually explore how support conversations relate to each other. Several visual cues help you interpret the map. **Points** Each point represents a single item, such as a forum topic or issue report. * Points located close together usually discuss similar topics. * Hovering over a point displays a short preview of the content. Image **Clusters** Clusters form when many items share similar content. * Large clusters often indicate frequently discussed issues or question. * Exploring clusters can help identify recurring support topics. **Density Areas** When using **Density mode**, areas with many related items appear as darker or more concentrated regions, typically indicating major discussion themes within the dataset. **Color Groups** Colors represent grouping categories such as connections or item states. For example: * Different colors may represent different platforms. * Colors may indicate whether issues are open or closed. This allows you to quickly compare patterns across sources or statuses. ## Discovering Insights Teams can use the Analyze view to better understand user feedback and support trends. **Identify common user issues** Large clusters often correspond to frequently reported problems. Reviewing these clusters can reveal which issues affect the most users. **Monitor discussion trends** Adjusting the **date range** helps you observe how user feedback changes over time, which is useful when evaluating the impact of product updates. **Compare multiple platforms** By enabling multiple **connections**, you can compare how topics appear across different sources, such as forums and GitHub issues. This can show whether certain issues are more commonly reported in one channel. **Prioritize support and product improvements** Clusters containing many open issues may indicate areas that require attention, helping teams prioritize fixes or improvements.