Community Research Group provides data and research that inform the work of communities as they seek better outcomes and advance wellbeing.
We specialize in
- Mining and analyzing data
- Community health data
- Economic data
- Educational data
- Criminal justice data
- Identifying best practices that fit with your community
- Presenting user-friendly findings that spark conversations
Our goals are to help design, evaluate, and improve interventions that promote best-practices, equity, and systems alignment.
Our Core Values
Data (both qualitative and quantitative) must be understandable – accessible - to its consumers. Traditional evaluation often has minimal impact; important findings are shelved. This impotence of evidence happens when findings never become learnings, when the data remain cold and inaccessible. This is the reason CRG is committed to turning evaluation data into evaluation insights or stories. Data confirms but stories compel. We need both to create resonate feedback loops that inspire us to change programs and processes.
The principles of equitable research and evaluation guide the way we work. We know that evaluation and learning is done with, not done to. That is, learnings emerge out of existing ecosystems that should determine what is important to know, how best to obtain that knowledge, and how to respond to that knowledge. It is only when communities decide for themselves how to be involved in the learning process and how findings will be framed and interpreted, that the results of any research becomes meaningful and engenders ownership. We thrive on participatory, culturally responsive methods that provide us feedback for our own continuous improvement.
Evaluation and learning process should be efficacious – lean and completely meaningful. All data we collect is applicable and useful to inform programs and processes and to guide insight. Collecting extraneous data is not only time-consuming and costly, but also violates the trust of our clients and the communities we serve. Our expertise is uncovering the best data in the best ways. Ultimately, learnings should drive continuous improvement, so we help clients build in feedback loops to utilize the learnings we synthesize together.