You may be thinking, 'We already collect data, but it’s not helping.' The problem isn’t the data—it’s how you use it. We can show you how to turn those numbers into a strategic advantage.
Select a segment from the chart to learn about common mistakes in program design and evaluation.
We are Industry standard
Imagine seeing another organizations in your industry getting more funding, gaining recognition, and scaling—while you’re still struggling to demonstrate real impact. Can you afford to stay in the dark?
Think about the last time you wished for more resources, better engagement or customer/participant life-cycle. Now, imagine having the ability to achieve all of that with less effort—by simply understanding and using your data better.
Can you afford to be caught off guard by changes in the landscape? What happens when you’re asked to demonstrate the effectiveness of your programs on short notice, and you have no data to show? It’s not a matter of if change will come—it’s when. Will your organization be ready?
We often face the challenge of designing programs based on a fixed theory of change, assuming that one-size-fits-all solutions will work across diverse communities. But this can lead to a disconnect between the model and the people it’s supposed to serve. If the assumptions don’t match the reality on the ground—whether it’s cultural, socio-economic, or geographic—it’s easy to miss the mark and fail to achieve impact.
Organizations with strong data cultures are 3x more likely to exceed their mission goals.
Move beyond tracking activities (outputs) and measure behavioral, social, and economic changes (outcomes).
Take the quiz and understand your data maturity level
Various types of process evaluations (chronicle, compliance, translation, improvement, adaptive management) help address questions of context, fidelity, adaptation, and improvement.