Apply Five Whys to a recurring incident and convert the result into a known error and prevention action.
A Friday analytics report fails repeatedly. The first explanation is "the data team forgot," but the service owner needs a fixable known error, not a blame label. Evidence-led Five Whys: symptom -> condition -> system cause -> known error -> prevention action The common trap is stopping at the first human action. That produces blame and retraining, but it rarely removes the condition that made recurrence likely. Symptom The Friday load times out between 18:05 and 18:20. Start with the observable service failure, not a theory about who caused it. Why 1 The load waits for source extracts that finish…
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