Logic Model
How we think
change happens.
A logic model is just a map of your reasoning. Here's ours — how we go from what we have to the impact we're after, and everything in between. We're sharing it because you should be able to see the thinking, not just the results.
Why We Share This
Our theory of change.
A logic model isn't a guarantee. It's a hypothesis — our best understanding of how the work we do connects to the change we want to see in the world. We share it publicly because we want donors, community partners, and athletes to understand our reasoning and push back when it's wrong.
Our goal isn't to manufacture elite athletes. It's to get people into sport and keep them there — because the growth, confidence, and community that come from participating in sport matter at every level of competition. That belief shapes everything in this model.
We do believe that one natural byproduct of healthier, more sport-connected communities will be more elite athletes — including Olympians and Paralympians — coming from places that previously had no pathway into high-level sport. But that's a consequence we welcome, not the reason we show up.
This is a living document. As we learn more from the communities we work in, it will change — and we'll tell you what changed and why.
Core beliefs behind the model
The Model
From resources
to real impact.
Read left to right. Each column flows into the next. The highlighted card in the final column is a byproduct we expect — not the goal we're chasing.
How We Know It's Working
What we measure.
A logic model is only useful if you actually track whether it's working. Here's what we measure, when we measure it, and what we do with what we find.
How many people showed up, stayed, and came back. We track this per event, per community, and across the whole organization — and we publish it.
We ask athletes, participants, and community partners what actually landed and what didn't. This is our most honest source of information and the one we take most seriously.
A program that produces nothing after we leave isn't a success. We follow up with communities to see whether sport access has taken root or faded — and we adjust our model when it fades.
We track what each program costs per meaningful outcome — not to cut spending, but to make sure we're putting money where the return is real and not just where it's comfortable.
Where We Could Be Wrong
The risks we're watching.
Every logic model rests on assumptions. Here are the ones we're most aware of — the places where our theory could break down, and what we're doing to watch for it.
We assume that when athletes show up authentically, it creates real connection. That's not guaranteed. We watch closely for programs where the presence didn't translate, and we learn from those.
What works in one community may not work in another. Data-driven research before each investment reduces this risk — but we stay humble about the limits of what research can predict.
Long-term impact depends on sustained presence. If our funding becomes inconsistent, communities we've started working in could be left without follow-through. We think that outcome is worse than never showing up at all.
Sport builds real life skills — but only in environments where participants feel genuinely supported and welcomed. We measure quality of experience, not just headcount, for exactly this reason.
Training and research grants are only as good as the process used to award them. We invest in thorough vetting and follow-up to make sure the dollars go where they'll actually matter.
We don't think we have everything figured out. This is version one. As we learn more from the people and communities we work with, we'll update it — and we'll be transparent about what changed and why.
Take It With You
Download a copy of this logic model, or head back to our transparency page to see how it connects to how we spend and report donor funds.