Field guide
Constraint validation
Validate the operating constraint before adding staffing.
A growing queue proves that effective output is below incoming demand. It does not prove that headcount is the limiting mechanism.
Ryan Miller, EMBA
8-minute read
Key takeaways
Queue growth proves an output-demand gap; it does not identify labor as the binding constraint.
A credible hypothesis predicts an observable signal and names the evidence that would falsify it.
Scale staffing, process, technology, or governance only after a discriminating test creates a repeatable completed-output response.
A symptom does not identify its mechanism.
The queue can grow because labor is insufficient. It can also grow because available labor is waiting, switching, reworking, or processing the wrong work. Adding people upstream of a technical bottleneck, into an unstable process, or without the required skill mix can increase work in process without increasing completed output.
Operating equation
Decision rule: Fund the mechanism only after its predicted signal is observed
Six mechanisms deserve a test before the hiring request.
True labor capacity; skill mix; process flow; quality loss; schedule alignment; technology or policy.
Move from suspicion to a fundable decision.
Map the work at queue level; rank competing mechanisms; write a falsifier; run the smallest discriminating test; measure completed output; scale only after the response is repeatable.
Decision boundary
A self-assessment ranks hypotheses; it does not diagnose a system. Validate the leading mechanism with direct observation and source-system data, and include safety, workforce, legal, and compliance owners where the test could affect people or service.
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