Data-driven Decision-making

Data-driven decision-making refers to a specific approach to change-making.  The four steps are: 1. Gather data, 2. Interpret data, 3. Action plan, 4. Create change

This is the core of my approach to change-making.  I believe that in order to create effective and lasting positive changes in our communities, we need to design programs based on data, and we need to continually adapt and change the programs over time based on subsequent data. 

There are a variety of data that can be gathered and used to help design effective change projects.  I employ Mixed Methods when I gather data, meaning I collect both qualitative and quantitative data, and help clients interpret and use both when making decisions and designing programs.  Some specific methods I have used for data-driven decision-making in international development are Impact Evaluation, Monitoring & Evaluation, and Dreams Assessment. I also have experience with Outcome Evaluation, Appreciative Inquiry, Process Evaluation, and other forms of classical evaluation. 

Check out the following projects in My Portfolio for some specific examples of Data-driven decision-making in social change work