An operating problem often arrives disguised as a tool request: a dashboard, an automation, an AI assistant. The Diagnostic separates the visible request from the underlying constraint before a solution is recommended.
From signal to decision
Four connected views of the same problem.
01 / SignalDefine one bounded problemRecent example + consequence
→
02 / EvidenceReconstruct the current workPeople + tools + decisions + handoffs
→
03 / ConstraintIdentify what limits progressRoot cause + dependencies + risk
→
04 / DecisionRecommend the smallest useful changeProceed + condition + hold + stop
The recommendation stays connected to the evidence and the authority of the people responsible for the business.
Three controls
What keeps the recommendation practical.
01 / Sufficiency
Smallest useful response
Improve the existing workflow or software before adding a heavier system.
02 / Traceability
Visible reasoning
Separate facts, assumptions, unknowns and stop conditions so the decision can be reviewed.
03 / Authority
Human-owned decisions
AI may help organize and test the analysis. Business and high-stakes decisions remain human-owned.
Possible outcomes
A recommendation can be smaller than the original request.
Clarify ownership and operating rules.
Improve an existing workflow.
Configure or replace standard software.
Prepare data or controls before automation.
Run a focused workflow micro-sprint.
Design a Business Command Center Sprint.
Hold or stop until a dependency is resolved.
Start with one example
What keeps getting lost, delayed or repeated?
Describe one operating problem and one recent example. Do not send confidential records or access credentials.