Prioritize the next release using observed operating friction and the original business objective. Separate defects, adoption issues, and new capabilities before deciding what to build.
Prepared with AI assistance. These are practical scoping recommendations; examples are illustrative, not client results.
Review actual use
Look at completed workflows, unresolved queues, support requests, and work still performed outside the system. Ask users to demonstrate the workaround rather than simply request a feature. A missing capability, unclear terminology, and insufficient training can produce similar complaints but need different responses.
Protect reliability first
Identify issues that undermine accurate records or prevent the agreed workflow from completing. Compare them with requests that expand scope. A popular enhancement may need to wait if staff cannot depend on the existing release. Explain the tradeoff in terms of operating impact, not only development effort.
Estimate a complete improvement
Include changes to permissions, data, training, and integration when they accompany a new feature. Avoid funding a screen while leaving its downstream handoff undefined. Choose a bounded improvement with a clear owner and acceptance example, just as you did for the first release.
Define the learning result
State what evidence will show that the change helped: fewer returned handoffs, clearer ownership, or less manual reconciliation, for example. Keep these as outcomes to assess rather than promises. Review after release and use the result to shape the next decision instead of maintaining a roadmap that never responds to actual use.