Looking at data inconsistencies across population or geography can help identify strengths and areas for growth in QLR practice. It can also help target possible QLR interventions. Similarly, disaggregating data across race will be important in order to eventually design an intervention that does not inadvertently compound pre-existing inequities in the system.

After looking at the data with stakeholders, Tanya’s jurisdiction may decide that earlier appointment of children’s attorneys is an activity worth investing in. But even without that information, this data is actionable because there is enough evidence to show that earlier appointment of children’s attorneys has made a difference to client outcomes.