Decision Cases

A future-facing case library. Each case follows the same discipline: symptom → evidence → diagnosis → options → decision → action → KPI.

Case 1 • Performance

The KPI that improved the number — and hurt the business

Explore gaming, local optimization, missing quality measures and redesigning the decision rule.

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Case 2 • Talent

The “strong CV” that was weak evidence

Separate keyword match, role fit, capability evidence and seniority before deciding.

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Case 3 • AI

Automate the task — or redesign the decision?

Use value, risk, data readiness and human judgment to decide whether an AI pilot is justified.

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Case 4 • Performance

When training is the wrong answer

Diagnose whether the gap is knowledge, skill, behavior or system/process before prescribing learning.

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