Scale is all about execution. This means constantly evaluating and improving our programs. We collect data on our key performance indicators, in order to make data-driven and evidence-based decisions on what works and on what we need to change. We collect data in a variety of ways but have been pushing hard to increase real-time, tech-enabled monitoring of our performance, and quick, streamlined, and action-oriented analysis. Here is what we are doing, with a frank assessment on how it’s going.
We use data every day. It’s critically important to our work. As an evidence-based organization, we rely on high-quality, timely and systematic measurement of inputs, outputs, and outcomes to make decisions about our work, and evaluate our progress. We measure to make decisions; we choose our methods depending on the question we want to answer.
So what data that we collect and use, and why?