Authored by Melissa Kozakiewicz of Tier One Solutions, February 23, 2026
Before writing a grant application, organizations should consider two foundational questions: What will this funding accomplish, and how can you prove that it worked?
If the outcome can’t be measured, start there. The first investment should be in building the capacity to measure results.
Start With the Outcome
A grant is not general support for effort. It is an investment in a defined result. Clarity on measurable outcomes should come before narrative writing begins. Consider these examples:
- If funding is sought for homelessness prevention, what is the measurable change? Fewer unsheltered individuals? Faster placement into permanent housing? Increased employment stability?
- If the grant is for arts programming, can the organization demonstrate audience reach by ZIP code? Growth in attendance from specific neighborhoods? Repeat engagement?
- If funding supports infrastructure or public space improvements, can increased pedestrian counts or safety outcomes be documented?
When the outcome is defined, data collection can be designed to measure real progress.
Build the Capacity to Measure What Matters
Once outcomes are clear, operational systems should collect consistent, usable data that reflects the outcome. Great data collection goes beyond the clipboard in the corner with names written down inconsistently. It doesn’t rely on handwritten notes that might never make it into a system.
Structured, repeatable, and preferably digital processes are essential. They might include:
- A standardized intake form on an iPad or laptop
- A QR code check-in that routes visitors to a short digital form or survey
- Automated pedestrian counters at crosswalk improvements
- Ticketing systems that capture ZIP codes and audience reach
Consider aligning your data collection with common reporting metrics used across partners or similar organizations. This will strengthen comparability and amplify impact.
Funders Invest in Impact
Funders are accountable for the dollars they distribute, and they want to invest in success. They use data to demonstrate results to boards, stakeholders, and the public. Without reliable data, they cannot defend their investments, and organizations cannot clearly demonstrate the impact of their work.
Data collection should not be considered a compliance tool. Think about it as a way to show measurable change. Strong data connected to outcomes improves grant competitiveness, strengthens fundraising conversations, and supports better internal decision-making. Without it, impact is anecdotal. With it, impact is defensible.
The Bottom Line
Try to avoid thinking about data collection as an administrative burden, and reframe it as the foundation for credible impact. When outcomes are clearly defined and consistently measured, organizations are better positioned to secure funding, refine programs, and demonstrate results that last.