Identify funds where spending is not keeping pace with available balances using a consistent multi-year approach
Designed based on a multi-year analysis approach used in practice to review fund utilization
Most institutions lack a clear, consistent way to identify underspent funds.
Applies a consistent multi-year framework to transaction data to help identify underspent funds.
Analyzes multi-year balance and spending data to calculate a normalized spend rate. Flags funds where balances are accumulating faster than they are being used.
Built from real-world fund oversight work inside higher education.
Identifying underspent funds is typically manual, inconsistent, and time-consuming. This tool standardizes that process into a clear, repeatable analysis — so teams can focus on decisions, not spreadsheets.
Upload template with sheets: Year1, Year2, Year3.
Your file is processed securely and never stored.
Defines the minimum acceptable spend rate.
Spend Rate = Average Spend ÷ Available Balance
Funds below this threshold are flagged for review.
Lower = more lenient. Higher = more aggressive.
Adds revenue to available balance when calculating spend rate.
Use if:
• Funds have ongoing inflows
Do not use if:
• Evaluating existing balances only
• Reviewing endowment-style behavior
Analysis typically completes in 10–30 seconds depending on file size.
Common issues:
• Missing sheets (Year1, Year2, Year3)
• Renamed columns
• Blank or non-numeric values
Results highlight funds where spending is not keeping pace with available balances.
These results highlight funds that may warrant further review.
Preview shows the top 5 lowest spend rates. Export to access full results.
Spend Rate = Average Spend ÷ Available Balance.
Where do I get this data?
Export fund-level data from your CRM, ERP, or financial system.
What is Spend Rate?
Average Spend ÷ Available Balance.
What does underspent mean?
Spending is not keeping pace with available resources.
What if my file doesn’t work?
Ensure sheet names and columns match exactly.
Your data is never stored, logged, or shared.
Files are processed in memory and discarded immediately after analysis. No data is written to disk.
No data is accessible to the developer or third parties.
Built by a higher education fund strategist working directly with philanthropic accounts, donor intent, and institutional spending decisions.