Get the numbers right. Your grant funding depends on it.
Why Data Matters in Grant Writing
Funders get too many proposals to fund them all. Your proposal needs to stand out and build instant trust. Confusing data? Missing data? Those are red flags. These 5 common data mistakes can sabotage your grant proposals and cost you funding.
Why does this matter? Grant applications are competitive. Funders have limited resources and need to make informed decisions. Strong data demonstrates your organization's credibility, impact, and ability to deliver on your promises. It shows you're strategic and accountable.
Consider this: A grant reviewer needs to quickly grasp your program's value. Vague or confusing data forces them to guess and raises doubts. Clear, concise, and compelling data makes their job easier and positions your proposal for success.
5 data mistakes and how to fix them
1. Ignoring Funder Asks
Don’t ignore data requests. Provide everything they ask for.
Funders often have specific data requirements outlined in their guidelines. Missing this data can get your proposal rejected quickly. Create a checklist of all required data points, double-check your proposal. If you lack data, explain why, and provide a reasonable estimate if possible.
2. Sharing Confusing Data
Be explicit about duplicated and unduplicated counts. Confusion can arise when your data isn’t labeled properly.
Create and use a "source of truth" document to ensure accuracy and consistency throughout the proposal. Your “source of truth” will be your go to guide for data about your programs.
3. Not Knowing Who You Serve
Demographics matter. Funders want to know who you're serving and if your programs are reaching the intended population.
Collect essential demographic data like age, race, ethnicity, and income, while respecting client privacy. If you can't collect demographic data, then explain why. Anonymous services are sometimes appropriate and preferred.
4. Talking About Outputs, Not Outcomes
Shift from activities to results. Funders are increasingly focused on outcomes, not just outputs. Outputs are the activities you conduct, while outcomes are the tangible changes you achieve.
5. Too Much Data, Not Enough Substance
Don’t overwhelm funders with every number you can think of. Too much data is distracting and confusing. Focus on only the most relevant data points that support your key messages.
Develop a simple narrative about why your program is needed, with some supporting stats, and then explain who the program helps and how much it achieves.
Want to learn more?
Are you a small growing nonprofit? Check out countbubble.
The Standard Plan is ideal for smaller nonprofits. that are ready to upgrade past spreadsheets. countbubble's free plan is perfect for small nonprofits that aren't ready to pay for better program tracking software.
Founder, CountBubble, LLC
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