Start with the operational meeting
Record the questions management must resolve: which orders are at risk, where capacity is missing and which issues need intervention. Design the first screen around those decisions. Avoid adding metrics merely because they are available. Detail should let the reader trace an exception to its source order or record.
Compare compatible periods
Clarify included shifts, lines and orders. Do not directly compare an incomplete shift with a completed one without flagging it. Keep units consistent and avoid adding incompatible products as if they were equivalent. For an aggregate measure, document the weighting and expose its components.
Separate signals from explanations
A delay is a signal to investigate, not a proven cause. Connect operational comments and incidents to verifiable records. If an assistant summarises the situation, it should show sources and data timing. Hypotheses about causes remain hypotheses until someone confirms them.
Separate reporting from control
Define who can view, comment or approve actions. An information dashboard must not accidentally become a machinery controller. Operational changes require their own scope and assessment. Begin with verifiable information and a clear path for an accountable person to make the decision.
Worked example: reading a shift
Imagine a demonstration shift with 1,000 planned units, 880 completed and 40 rejected within those 880. Accepted output would be 840, provided “rejected” has that definition and records are not double-counted. The dashboard would show planned, completed and accepted output separately, alongside refresh time. If another line makes a product measured in kilograms, it would not add both quantities into a meaningless “total output”. Selecting a delayed order would show its committed date, state and source. The dashboard identifies the deviation; its cause remains unresolved until incident records and the responsible person’s comments are checked. These numbers are a teaching example only.
Acceptance checklist for the first dashboard
Before accepting the dashboard, test six points with synthetic data and an authorised sample: shift and line filters change both numerator and denominator; stale sources display a notice; missing values do not appear as zero; each exception links to its record; different roles see only permitted information; and sample results match a manual calculation. Define who may change formulas and thresholds. Retain evidence and known exceptions. Do not activate machinery commands or planning changes as automatic consequences of this informational screen. Acceptance of a reporting interface is not acceptance of an operational control system.
Key takeaways
- Data needs operational context before it becomes a decision.