Prioritize Quantitative Data with the Pareto Principle

Prioritize the 20% of your website or app responsible for 80% of a critical metric to generate substantial improvements for less effort.


This content originally appeared on NN/g latest articles and announcements and was authored by Evan Sunwall

Summary: Prioritize the 20% of your website or app responsible for 80% of a critical metric to generate substantial improvements for less effort.



Imagine this: after dozens of meetings with your company's legal, marketing, and engineering departments, you finally have access to an analytics tool. Congratulations! There is a rush of excitement as the UX team dreams of conducting A/B testing on design improvements or (finally) convincing skeptical stakeholders with quantitative user data .

A few months pass and that initial excitement turns into dismay — there are so many pages, reports, and metrics to consider. The scope and robustness of analytics tools can mire any design team with information overload and analysis paralysis . What can UX professionals do when confronted with so much quantitative data? Consider using the Pareto Principle.

What Is the Pareto Principle?

Definition: The Pareto principle (also described as the "80/20 Rule") states that 80% of the results come from 20% of the causes.



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This content originally appeared on NN/g latest articles and announcements and was authored by Evan Sunwall


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