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What funders actually want from impact reporting
What funders say vs what they use, and how to turn reporting into decision support.
Funders ask for many things in impact reports: outcomes data, evidence trails, attribution logic, financial justification. But what do they actually use when making funding decisions? Understanding this gap between what funders say they want and what they actually use can help you focus your reporting effort where it matters most.
What funders say vs what they use
Funders often request comprehensive impact reports with detailed frameworks, extensive data, and rigorous analysis. However, when making funding decisions, they typically rely on a much smaller set of information:
- Clear attribution: Can you show that your activities caused the outcomes? This is more important than the volume of data.
- Evidence quality: Is your evidence credible? One strong piece of evidence is worth more than many weak ones.
- Honest uncertainty: Do you acknowledge what you don't know? Funders trust organisations that are transparent about limitations.
- Decision relevance: Does your reporting help them decide whether to continue, change, or stop funding?
The gap exists because comprehensive reporting serves multiple purposes: compliance, learning, accountability, and decision-making. Funders need all of these, but when making funding decisions, they prioritise decision-making information. This means focusing on what changed, why you think your activities caused it, and what that means for future funding.
The minimum viable evidence trail
A minimum viable evidence trail answers three questions:
- What changed? Clear, measurable outcomes with baseline and follow-up data. This doesn't require experimental design, but it does require measuring the same thing before and after.
- Why do you think your activities caused it? A logical argument linking activities to outcomes, acknowledging other factors that may have contributed. This is attribution logic, not proof.
- How confident are you? An honest assessment of confidence levels, data quality, and limitations. This builds trust more than overconfident claims.
This minimum viable trail is sufficient for most funding decisions. Additional data - more frameworks, more metrics, more analysis - can be valuable for learning and improvement, but it's not always necessary for funding decisions. Focus on getting the minimum viable trail right before adding complexity.
Confidence and uncertainty: how to speak honestly
Many impact reports overstate confidence. They present outcomes as certain when they are actually uncertain. This undermines trust because outcomes measurement involves uncertainty. Being honest about uncertainty builds credibility.
Low confidence language (undermines trust)
"Our program improved mental wellbeing for 80% of participants."
This sounds certain but may not be defensible if challenged.
High confidence language (builds trust)
"Participants' mental wellbeing scores improved on average by 15% (measured using PHQ-9, n=45, pre/post comparison). We are moderately confident in this result because we have baseline data and used a validated measure, but we cannot rule out other factors that may have contributed."
This acknowledges both the evidence and its limitations, which builds trust.
Speaking honestly about uncertainty doesn't weaken your case. It strengthens it by demonstrating rigour and self-awareness. Funders prefer honest uncertainty over false certainty.
Use confidence levels explicitly:
- High confidence: Strong evidence, clear attribution, validated measures, large sample
- Moderate confidence: Good evidence, reasonable attribution, some limitations
- Low confidence: Weak evidence, unclear attribution, significant limitations
Reporting formats that get read
Funders receive many reports. Most are long, dense, and difficult to scan. Reports that get read and used share common characteristics:
- Executive summary first: One page that answers the three questions (what changed, why, how confident). This is what most funders read first, and sometimes only.
- Visual summaries: Charts, graphs, or tables that show key outcomes at a glance. These are scanned before text is read.
- Clear structure: Headings that make it easy to find specific information. Funders don't read linearly; they jump to what they need.
- Evidence links: Clear references to where evidence can be found. Funders may want to verify claims, so make evidence easy to access.
- Appropriate length: Long enough to be credible, short enough to be read. Most effective reports are 5-10 pages, with appendices for detailed data.
The format should serve the content, not the other way around. Start with what funders need to know, then structure the report to make that information easy to find and verify.
How to turn reporting into decision support
The best impact reports don't just document what happened; they help funders decide what should happen next. This means including:
1. What worked and what didn't
Be specific about which activities or interventions showed strong outcomes and which showed weak outcomes. This helps funders understand what to continue and what to change.
2. What you learned
Share insights about what you discovered during implementation. What surprised you? What would you do differently? This demonstrates learning and helps funders understand context.
3. What you're changing
Based on the evidence, what changes are you making? This shows that reporting informs action, not just documentation.
4. What you need
If you're requesting continued or additional funding, be clear about what you need and why. Link this to the evidence you've presented.
When reporting becomes decision support, it serves both the funder and your organisation. Funders get information they can use, and you demonstrate that you're using evidence to improve your work.
The reporting that matters
Effective impact reporting focuses on what funders actually use: clear attribution, credible evidence, honest uncertainty, and decision-relevant information. This doesn't mean ignoring comprehensive reporting requirements, but it does mean prioritising the information that drives funding decisions.
CIIS helps you structure outcomes data so that you can generate both comprehensive reports for compliance and focused summaries for decision-making. The same data can be viewed through different lenses, ensuring that you meet reporting requirements while providing funders with the information they actually use.
Next Steps
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