Don't overlook equity in your evaluation, and here's why

Heather Krause’s most recent blog post “Better for Who? Examining Equity in Impact Evaluations” lays out such a clear example of how overall results really don’t tell the full story. The examples shares how at first glance it looks like there is a modest improvement over time - but when you take a closer look there’s a different story. There’s almost no improvement for those that are worst off, and significant improvement for others - leading to a increasing inequality.

This blog makes a great case for considering equity as a principle to include in your evaluation. For this to be possible, it requires collecting the right data, looking beyond overall averages, and purposefully considering if your work advances equity.

Also check out Data Assist’s project We All Count if you want to learn more about data & equity.

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