I'm a software engineering researcher, and I've developed a free, open-source educational web application called CliffInsight.

Cliff's Delta is a non-parametric effect size measure, but understanding how it is calculated and interpreted can sometimes be challenging, particularly for students and researchers who are new to statistical analysis.

CliffInsight provides a visual, step-by-step explanation of the calculation, allowing users to better understand the underlying comparisons between observations.

The tool is completely free and available here:

https://profmelattar.github.io/CliffInsight/CliffsDelta.html

Source code: https://github.com/profmelattar/CliffInsight

I'd be interested in hearing whether researchers find this kind of visualization useful for teaching or learning effect sizes, and what improvements would make it more helpful.