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InstituteSafety and Health Programs and TrainingSafety & HealthIn Depth Sub Topics (Level 4)General Industry SafetySafety and Health Programs and TrainingEnglishAnalysisFocus AreaUSA

Numerical goals

['Safety and Health Programs and Training']
Numerical goals
  • Numerical goals are easy to measure, but struggle to be attainable and comprehensive enough.

Numerical goals have the advantage of being easy to measure. However, it is difficult to set a numerical goal that is both attainable and comprehensive enough to be helpful. Consider these examples:

  • Setting a goal of zero hazards at any time may be so difficult to reach that employees will become disillusioned long before reaching the destination.
  • Setting a goal of a certain number of injuries. This may sound reasonable, but it ignores both illnesses and those existing hazards that have not yet resulted in an injury.
  • Setting a goal of a certain number of injuries and illnesses may not be feasible. Illnesses often are difficult to recognize until long after employees’ exposure to hazards that could have been prevented or better controlled. As with the previous example, this goal does not address hazards that have not yet resulted in injury or illness.
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safety-and-health-programs-and-training
safety-and-health-programs-and-training
FOUNDATIONAL LEARNING
InstituteSafety and Health Programs and TrainingSafety & HealthGeneral Industry SafetySafety and Health Programs and TrainingSafety CommitteesEnglishAnalysisFocus AreaCompliance and Exceptions (Level 2)USA

Implementing the program

InstituteSafety and Health Programs and TrainingSafety & HealthIn Depth Sub Topics (Level 4)General Industry SafetySafety and Health Programs and TrainingEnglishAnalysisFocus AreaUSA

Numerical goals

Numerical goals

InstituteSafety and Health Programs and TrainingSafety & HealthIn Depth Sub Topics (Level 4)General Industry SafetySafety and Health Programs and TrainingEnglishAnalysisFocus AreaUSA
['Safety and Health Programs and Training']
Numerical goals
  • Numerical goals are easy to measure, but struggle to be attainable and comprehensive enough.

Numerical goals have the advantage of being easy to measure. However, it is difficult to set a numerical goal that is both attainable and comprehensive enough to be helpful. Consider these examples:

  • Setting a goal of zero hazards at any time may be so difficult to reach that employees will become disillusioned long before reaching the destination.
  • Setting a goal of a certain number of injuries. This may sound reasonable, but it ignores both illnesses and those existing hazards that have not yet resulted in an injury.
  • Setting a goal of a certain number of injuries and illnesses may not be feasible. Illnesses often are difficult to recognize until long after employees’ exposure to hazards that could have been prevented or better controlled. As with the previous example, this goal does not address hazards that have not yet resulted in injury or illness.
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