Doing Good Isn’t Enough. Can You Prove It?

Read time: 3 min

👋🏾 Hey! I’m Sid and this is The Philanthropy Futurist, a weekly advice column preparing you for the future of the nonprofit sector. Each Friday, I tackle reader questions about measuring impact, driving growth, and managing your nonprofit.

This Week’s Newsletter at a glance:
  • Doing Good Isn’t Enough. Can You Prove It?

  • Philanthropy News From This Week

  • Sid’s Book Recommendation

Doing Good Isn’t Enough. Can You Prove It?

A nonprofit can tell you exactly how many people it served, but that doesn’t necessarily tell you whether anyone’s life got better.

And that gap between what happened and what changed is where credibility can be won or lost.

For nonprofits and funders, credible results create a shared language for understanding whether resources are actually producing meaningful change.

Think of it as a chain...

  • Inputs tell you what was invested

  • Outputs tell you what you delivered

  • Outcomes tell you what changed because of what you delivered

  • Impact tells you why that change ultimately matters

The problem is that nonprofits often stop at Inputs and Outputs because they're the easiest parts of the chain to track and follow.

$388,000 raised... 1,200+ meals distributed... 439 students enrolled... 67 families housed... etc, etc. You get the point!

Yes, those numbers matter... but even having more numbers doesn’t necessarily mean having more evidence. The Inputs and Outputs are only the beginning of the story, not the end.

Here’s how Nonprofits can take their impact evaluation to the next level:

  • Track the “so what?” immediately: For every major Output, ask the question... What should be different because this happened? Make that question part of program planning, not something you answer 6 months after the fact

  • Build an Evidence Ladder: Separate what you know, what you strongly believe, and what you are still testing. This makes your reporting more honest and gives funders a clearer picture of where evidence is strong or developing

  • Measure the moments between Outputs and Outcomes: Instead of only measuring before-and-after results, identify the behavioral or environmental changes that happen in between. Those “middle signals” often explain why a program worked or not

  • Let failure improve the measurement model: When an expected outcome does not happen, don’t hide it... instead, ask which assumption was wrong. Over time, your evaluation will become smarter because your organization is learning, not just reporting

  • And lastly, report fewer results with more context: Illustrate a handful of credible metrics with a clear connection to your theory of change... this is often more useful than a 40-page impact report filled with disconnected numbers

The goal isn’t to prove that every $1 created a perfect outcome... it’s to make the relationship between resources, action, change, and impact easier to believe... and in order to do that, you need to make it easier to measure by planning better and having the right systems in-place. Because funders don't just need to know what their money supported, they need to understand what changed as a result... some call that ROI, and some call it impact.

Hope you found this helpful.

Until next time y'all ✌🏾

Have questions you want answered? Submit questions using this form and I’ll work hard to get you the answers by way of this newsletter.

Sid’s Book Recommendation

Each week, I recommend a book or film that has impacted my life in a positive way. My recommendation this week is:

Effective Data Storytelling by Brent Dykes

This book emphasizes how blending data, narrative, and visuals can transform raw insights into compelling stories that inspire action and drive meaningful change within organizations. The author shares practical frameworks and strategies for engaging audiences, highlighting the importance of understanding your stakeholders, setting proper context, and structuring stories with clear story arcs. Learn more.

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