Knowing whether it is working
Telling the difference between a platform that works and a program that improves equity practice, using baselines, mixed methods, disaggregation with protection, and honest limits.
Areas of workEliminate disparitiesCommunity engagement
Plan an evaluation or set of measures
A logic model with baseline, mixed-method evidence, disaggregation rules, small-group protection, and limits stated plainly.
Data, research, and quality · Program and policy staff · Division and administration leadership
Read and present disaggregated data responsibly
Clear statements of what the data shows, what it does not, and which small groups are protected from identification.
Data, research, and quality · Communications and language access
Background and questions for this area
Legacy data systems were built for billing and eligibility, not equity analysis. Good measurement protects private learning, refuses invented targets, and reports what the evidence does and does not show.
- What would change if we knew the answer?
- What is the baseline, the denominator, and the smallest group we will report?
- What do people's experiences add that the numbers cannot?
- How do we measure the program without scoring or ranking people?
Download this area of work
- Tool card: Minnesota Equity Analysis Toolkit
The State of Minnesota's official equity analysis toolkit, published by Minnesota Management and Budget, used with the DHS Equity Policy. Public. Permitted use: cite, link, follow. The policy owner determines when it is required.
Minnesota Management and Budget