Analysis comes with many pitfalls. You could overlook key information, or even count some things twice. It’s always tough to keep track of data, but illogical, unclear divisions lead to even more trouble.
Using the MECE principle is a way to ensure your groupings have no gaps or overlaps. In this course, you’ll go beyond theory and see a demonstration of the value of MECE. Learn to solve everyday classification errors for a clean, measured approach to categorization and analysis.
