I learned that aggregate data hides more than it reveals. Breaking it down by gender, race, special populations, and program area exposes gaps we've been ignoring. The Ohio Equity Labs model was helpful—identify the largest gap, do root cause analysis, develop a SMART goal, and act.
I plan to run a disaggregated report on our program enrollment and completion rates by subgroup, identify the largest gap, then figure out why and build an action plan to close it.