What outcome must improve?
Begin with the operational result—not the requested screen or feature. Is the goal faster turnaround, fewer errors, stronger traceability, better customer visibility or easier reporting? A measurable outcome creates a reliable basis for scope and later evaluation.
Who performs and controls the work?
List the people who initiate, review, approve, finance, supervise and receive the output. Their responsibilities determine permissions, notifications, separation of duties and the evidence the system must retain.
Where does work enter and leave the process?
Identify every intake channel, hand-off and final output. Email, paper forms, spreadsheets, payment platforms and external databases are often hidden parts of the workflow that determine integration needs.
Which rules are genuinely non-negotiable?
Separate policy, regulatory and quality requirements from habits that merely developed over time. A new system should preserve essential controls without reproducing unnecessary complexity.
What exceptions occur in real life?
Standard paths are easy to draw. Operational systems earn their value when samples are rejected, approvals are delegated, deadlines change, data is incomplete or a client requests an amendment. Exceptions should be designed, not discovered after launch.
What evidence must remain auditable?
Decide which changes, approvals, communications, versions and releases must be attributable to a person and time. Audit requirements influence the data model from the beginning.
What is the smallest valuable first release?
A focused first release reduces risk and creates learning. Choose one complete workflow that produces a meaningful outcome, then expand from a stable foundation rather than launching many incomplete modules.