Definition
Pareto analysis ranks problems, failures, or causes by their measured contribution to an outcome (frequency, cost, downtime), typically showing that a small number of contributors account for most of the total impact. It directs limited investigation and improvement effort toward the few causes with the largest measured effect, rather than treating every issue equally.
Key facts
- Ranks contributors by measured impact (frequency, cost, downtime), not by opinion or recency.
- Commonly reveals that a small share of causes accounts for a large share of total impact (often summarized as an 80/20 pattern, though the actual split varies).
- A prioritization tool applied after failure or cost data has been categorized, not itself a root-cause investigation method.
- Often used to select which bad actors or repeat failures deserve deeper root cause analysis first.
What does Pareto analysis reveal about failures?
Pareto analysis works by categorizing a set of problems or failures, measuring each category's contribution to a chosen outcome such as downtime or cost, and ranking them from largest to smallest contributor (usually visualized as a bar chart with a cumulative line) to show where effort delivers the most impact.
How do teams use Pareto analysis in failure analysis?
Root cause analysis investigates why a specific problem occurred. Pareto analysis instead operates at a portfolio level, ranking many problems by their measured contribution so a team can decide which ones deserve that deeper root cause investigation first: a prioritization step, not an investigation method itself.
FAQ
Frequently asked questions
How are particularly high-contributing problem groups prioritized?
Through Pareto analysis: ranking problems or causes by their measured contribution to an outcome such as downtime or cost, typically revealing that a small number of contributors account for most of the total impact.
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