An internal-tool backlog mixes different kinds of requests: a cosmetic irritation, a repeated manual task and a failure that prevents work from finishing. Treating them as equivalent tickets hides their operational importance.
Capture the problem behind each request
For each item, record the role affected, the task being attempted and a recent example. “Add a dashboard” is a proposed solution. “The coordinator cannot see overdue requests without opening each record” is a problem that can be evaluated.
Use observed frequency and correction effort where available. Keep unknown values marked as unknown rather than turning a guess into an exact cost estimate.
Compare consequences separately from frequency
A daily nuisance can consume substantial time. A rare permission error can expose sensitive information. Put risk and operational effort in separate columns so a high-frequency item does not automatically outrank a consequential failure.
Consider dependencies next. Improving a report may first require reliable status data. Shipping the chart before the data correction can make an unreliable answer more prominent.
Scope one verifiable change
Select an item with a clear finish condition. For the coordinator example, success means identifying overdue requests and their responsible roles from one view, using records checked against the current process.
Estimate the smallest change that meets that condition, then compare it with configuration or process changes. After release, revisit the same task rather than counting tickets closed. The first-version decision framework turns the selected problem into a bounded build.