> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.2-raw-data-types/2.3-social-discussion-analysis/how-to-use-it.md).

# How to use it

1. Start with the catalyst panel to see whether a major event is detected.
2. Check **Market Expectations** to understand the implied hurdle.
3. Open **Topics** mode to find the dominant discussion themes.
4. Switch between **Estimated Volume** and **Percent Share**.
5. Use **Timeline** mode to see when the narrative began changing.
6. Read the recent posts to validate the context behind the move.

This workflow helps users move from signal detection to real interpretation in a few minutes.

### Best Use Cases

* Identify social catalysts that may affect a KPI
* Distinguish meaningful discussion from background noise
* Understand what the market may already be expecting
* Track whether a new narrative is growing or fading
* Validate investment ideas with direct social context and post-level evidence