Rank failed-delivery fixes with Pareto
Use Pareto thinking to choose the highest-leverage failed-attempt countermeasure.
A delivery team has 220 failed attempts across 14 reason codes and wants to improve everything at once. Pareto analysis: count, sort, cumulate, focus the first fixes The common trap is solving the most emotionally memorable complaint instead of the reasons creating the largest reattempt load. Count Group failed attempts by specific reason: missing access code 62, customer not home in requested window 51, wrong geocode 37, damaged label 18, other reasons 52. Specific reason codes matter; vague buckets hide fixable patterns. Sort Order the reasons from largest to smallest so the highest-volume defects are visible first. The sorted view…
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