In short: Pareto analysis ranks problem categories by frequency or cost so teams can focus on the “vital few” causes that account for most of the impact, often around 80% of problems from 20% of causes.
How do you build a Pareto chart?
- Collect data by category over a defined period.
- Sort categories from largest to smallest.
- Plot bars and a cumulative percentage line.
- Identify the categories that make up most of the total.
What are common pitfalls?
- Using too short a data period
- Counting frequency when cost matters more
- Categories that are too broad or overlapping
Key takeaways
- Focus effort on the vital few.
- Choose frequency or cost carefully.
- Repeat after improvements to confirm impact.
Frequently asked questions
Is it always exactly 80/20?
No. The ratio varies; the principle is that a few causes dominate.
What software can I use?
Spreadsheets or statistical tools can easily produce Pareto charts.
When should Pareto be used?
When prioritizing problems or causes with categorical data.