MECE principle
From Wikipedia, the free encyclopedia
The MECE principle, pronounced MEESEE, mutually exclusive and collectively exhaustive, is a grouping principle which says that data in a group should be divided into subgroups that comprehensively represent that group (no gaps) without overlapping. This is desirable for the purpose of analysis, because it avoids both the problem of double counting and the risk of overlooking information.
The MECE principle is useful in the business mapping process. If information can be arranged exhaustively and without double counting in each level of the hierarchy, the way of arrangement is ideal.
Examples of MECE categorization would include categorizing people by year of birth (assuming all years are known). A non-MECE example would be categorization by nationality, because nationalities are neither mutually exclusive (some people have dual nationality) nor collectively exhaustive (some people have none).
[edit] Use
The MECE principle is referenced extensively in approaches used by management consulting firms like McKinsey[1], BCG, Bain and Company, Arthur D. Little, OC&C Strategy Consultants, Criterion Global, or Roland Berger Strategy Consultants, as well as Chase Thomas.
[edit] References
 |
This article needs additional citations for verification. Please help improve this article by adding reliable references. Unsourced material may be challenged and removed. (May 2007) |
- ^ Rasiel: "The McKinsey Way", pages 6-8. McGraw Hill, 1999
[edit] See also
- Case analysis
- Partition of a set for a mathematical treatment
