Build and interpret a Pareto view of return reasons to select the highest-leverage prevention work.
You have 1,200 returns this month: size mismatch 390, damaged in transit 355, wrong item 140, late arrival 110, changed mind 90, defective on arrival 65, warranty unclear 50. Which cause should the team investigate first? Pareto: rank causes by contribution before choosing prevention work The common trap is giving every return reason equal meeting time because every category has an anecdote. That spreads capacity across low-leverage work. Rank the counts Sort the causes from largest to smallest: size mismatch 390, damaged in transit 355, wrong item 140, late arrival 110, changed mind 90, defective on arrival 65, warranty unclear…
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