Your Theory of Change Has a Little Sister. Her Name is Measurement.
If you read my last post, you already know how I feel about theories of change that sit on a shelf collecting dust. But here's the thing: I'm not anti-theory of change. I'm anti-theory of change without the infrastructure to back it up.
So let's talk about that infrastructure. Specifically, let's talk about measurement strategies, the practical, unglamorous, absolutely essential framework that bridges the gap between what your organization says it's trying to accomplish and the data you're actually collecting to prove it.
A measurement strategy is exactly what it sounds like. It's a clear, documented plan that maps your data collection efforts back to your organizational outcomes. Not your funder's outcomes. Not a generic list of metrics that look good in a report. Your outcomes. The ones that actually reflect the change you're trying to make in the world.
Here's how to build one:
Step 1: Start with your outcomes, not your data.
Most organizations make the mistake of starting with what they already collect and working backwards. Flip it. Start by identifying your two or three most important organizational outcomes. What does success actually look like for the people you serve? Write it down in plain language. If you can't explain it clearly in one sentence, it probably needs more clarity before you start measuring it.
Step 2: Ask "how would we know?"
For each outcome, ask yourself: if this were actually happening, how would we know? What would we see? What would people say? What would change? This question is deceptively simple but incredibly powerful. It forces you to think concretely about evidence rather than abstractly about impact.
Step 3: Identify your indicators.
Indicators are the specific, observable signals that tell you your outcome is happening. They can be quantitative, like the number of people who completed a program, or qualitative, like participant-reported changes in confidence or knowledge. For each outcome, you want at least one indicator that is realistic to collect given your current capacity.
Step 4: Map your existing data collection to your indicators.
Now look at what you're already collecting. Surveys, intake forms, attendance records, case notes, program reports. Does any of it speak to your indicators? You might be surprised how much useful data you already have that isn't being connected to your outcomes. If the data doesn't map, that's a signal that your collection tools need to be updated, not that you need to start from scratch.
Step 5: Identify the gaps and make a plan.
Once you know what you have and what you're missing, you can make a realistic plan for filling the gaps. This doesn't mean overhauling everything at once. It might mean adding two questions to an existing intake form, or building a simple tracking spreadsheet for one program. Small, intentional changes made consistently over time add up to a data practice that actually supports your work.
Step 6: Document it and revisit it.
Write your measurement strategy down, even if it's just a simple one-page document. It doesn't need to be fancy. It needs to be clear enough that anyone on your team could pick it up and understand what you're measuring, why, and how. Then revisit it at least once a year. As your programs evolve, your measurement strategy should too.
Here's what I've learned doing this work alongside organizations in Omaha and beyond: the gap between a theory of change and real, usable data almost always comes down to the absence of this middle step. Organizations invest in the big picture vision and skip straight to data collection without ever pausing to ask whether the data they're collecting actually speaks to the outcomes they care about most.
A measurement strategy won't solve everything. But it will give you a fighting chance at building a data practice that is intentional, manageable, and actually useful when someone like me shows up asking hard questions about your impact.
If you're not sure where to start or want a thought partner to work through this with you, I'd love to connect. [Request a free discovery call with TMG Consulting here.]
Cheers,
Taylor