Turn CPQ defects into a Pareto fix list
Use Pareto analysis to prioritize CPQ defect fixes by concentration of rework causes.
The CPQ team received 96 support tickets in one month. Symptoms vary: wrong price, blocked bundle, approval returned, missing clause, and order fallout. Pareto analysis: group causes, count concentration, then prioritize recurrence reduction The trap is treating every ticket as a separate fix. That clears the queue but leaves the underlying rule, data, or process condition untouched. Group causes Tag each ticket by cause family: price book, lifecycle eligibility, approval evidence, quote template, account data, integration, or user knowledge. Cause families reveal system patterns that symptoms hide. Count and weigh Price book issues = 31 tickets; lifecycle eligibility = 26;…
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