Short professional notes on analysis, process improvement and decision-making. These are observations from real work and structured case analysis — not a personal blog.
KPI signalA cycle-time metric can look impressive and still fail operationally. In the RWE workflow, the more useful signal was a state KPI: requests that looked ready but were not formally approved. The metric mattered because somebody could act on it.
Data qualityIn the IT service analysis, resolution timestamps were missing from roughly 30% of tickets, including records marked Resolved. Cleaning that field away would have hidden the process problem instead of explaining it.
AutomationIf a report has to be rebuilt manually every month, the first question should be whether the underlying data model is reusable. A stable model often removes more work than a more elaborate automation script.
Process segmentationOperational processes rarely fail everywhere. They fail at handoffs, missing prerequisites, ambiguous ownership or unobserved workflow states. Segmenting the process is often more useful than looking at one overall average.
Decision firstIt is tempting to build around whatever fields happen to exist. A better sequence is to define the decision first, identify the evidence required, and only then decide which fields and tools are necessary.
Dashboard as productOperational reporting changes as teams learn what they need. The most useful dashboards are maintained: definitions, queries, ownership and feedback loops are treated as part of the deliverable.