by Heather Krause | Jun 20, 2022 | Analysis, Communication & Distribution, Data Collection & Sourcing, Funding, Interpretation, Motivation, Project Design The Data Equity Framework is a process that helps you to identify the many key choices you’ll have to make in a data project and provides tools and strategies…

by Heather Krause | Jun 20, 2022 An essential step in the Data Equity Framework is creating a Motivation Touchtone. (Check out part 1, part 2 and part 3 of how to make a Motivation Touchstone.) One of the most important parts of that process is outlining, in as much…

by Heather Krause | Analysis, Communication & Distribution, Data Collection & Sourcing | The Identity Sorting Dials are a really useful tool to start (again, I’ll say start) thinking about the interplay between human considerations like fit (“can I see myself in this category”) and ease (“how difficult is it…

Analysis, Communication & Distribution, Data Collection & Sourcing, Project Design This article begins a 4 part series on what We All Count calls Identity Sorting Dials. “If I want to be inclusive on my survey, shouldn’t I use as many identity options as possible?” “If we want our results to…

This is a quick tool that you can use when examining the equity implications of your data relationship. To learn about data relationships and the interplay of price, value, ownership, and profit, check out the original article here. Data equity is about power dynamics and one of the most important…

How much water per bouquet? If we watered them all using the average required per bouquet, we’d over water one and underwater one. What’s the problem: we’re using the denominator of bouquets instead of flowers. Defining your denominator is as important as defining your numerator. When we’re working with descriptive data questions — trying to use statistics to get a…

A well-crafted Motivation Touchstone contains your success criteria and aimed-for rewards, as well as a summary of the major restrictions and parameters that your project faces. …

In any data project about people, we’re starting from a broad, language-based set of conceptions, definitions and questions, figuring out how to turn those ideas into quantifiable numbers that we can engage with statistically, then turning those numbers back into answers or information related to complicated, language-based meaning. We might…

When we try to measure gaps in outcomes between groups, we often turn to an approach called a Blinder-Oaxaca Decomposition. I’m all for identifying discriminatory gaps, but we need to be careful that we don’t discount certain kinds of discrimination from our data calculations just because it isn’t our discrimination. …