Data only has meaning when it is interpreted. Interpreting is the process of looking at what the data tells you, and exploring the “why” behind the numbers or stories. This step is often taken by researchers or evaluators, but when you want to use data for decision-making, it is much more useful for those who are involved with making the decisions to be the ones interpreting the data. They will most likely surface much deeper insights than an outside researcher can articulate and have a sense of ownership over those interpretations, making it easier to use the data to help make decisions.
At Spark, we know that when we interpret the results alone, the value of the information decreases: our partners who are embedded in the problem and its solutions understand what they are seeing in ways we simply do not.