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Measurement dysfunction
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Measurement dysfunction describes a situation or behavior where actual data metrics, statistics and especially their meaning (or communicated meaning), can become problematic due to misuse.[1][2][3] Specifically, in areas such as Human Resources (Performance measurements[4]), Technology (Safety[5]), Finance or Health,[5] measurement dysfunctionality are critical, as it can lead to negative outcomes, wrong predictions or forecasts.
 | This article is written like a personal reflection, personal essay, or argumentative essay that states a Wikipedia editor's personal feelings or presents an original argument about a topic. (February 2021) |
- Reward of wrong behavior (also persons who manipulate[7])
- Measuring the wrong things[8]
- Measuring either not enough or too much
- Cheating or data manipulation (intentional or unintentional due to wrong calculation models, systematic errors, human errors, etc.)
On eliminating dysfunctional measurement:[9]
- Establish, and monitor the move to and adherence to ‘policies’ for good, functional measurement
- Support technical correctness
- Periodically evaluate the information need and value delivered by measurements
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