> For the complete documentation index, see [llms.txt](https://scenariolabhelp.windhamlabs.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://scenariolabhelp.windhamlabs.com/user-guide/analysis/classify-scenarios.md).

# Classify Scenarios

![Initializing prospective scenarios in Scenario Lab](/files/-MHIihkcMdEkrOkTmdkL)

To help you get started with defining a finite set of prospective scenarios, the Classify Scenarios screen allows you to initialize a Weak, Normal, and Robust scenario by

1. Specifying a reference economic variable to partition market environments.<br>
2. Specifying the directional economic favorability of the variable. \
   *(e.g. low GNP year-on-year changes are a weak indicator, while high unemployment values are a weak indicator)*<br>
3. Determining the cutoffs from the weak, normal, and robust ranges.<br>

{% hint style="info" %}
Scenario Lab automatically helps you initialize default upper and lower thresholds for a selected reference economic variable to the $$25^{\text{th}}$$ and $$75^{\text{th}}$$ percentiles of its empirical distribution.
{% endhint %}

The weak, normal, and robust scenario estimates are calculated by the conditional means of the sub-samples as defined by you.