Performance Benchmarking - The Science of Job Success
Harrison’s world-wide research has proven that job success behaviors are unique to specific jobs and that general personality factors alone cannot be used to effectively predict job specific success.
Harrison Job Success Formulas (JSFs) are based on 30 years of research assessing the factors related to job specific success. Our 650+ JSFs each have 10 variations related to management and experience levels.
Harrison can benchmark success for specific jobs in your organization. Using a sample of high, medium and low performers, the Harrison performance benchmarking technology can determine the exact success and derailment factors for jobs in your organization. This results in a custom JSF with the highest predictive ability of employee behavior in the industry for your exclusive recruitment and development use.
Harrison Performance Benchmarking Research uses Hi-tech Machine Learning to:
- Draw upon a full range 175 suitability factors including personality, attitudes, motivation, interpersonal skills, work preferences, task preferences, work environment preferences, interests and employment preferences
- Determine the factors that differentiate high performers from average or low performers for your specific job
- Weight the relative importance of each factor
- Measure how each level of each factor impacts performance (not possible if done manually)
- Consistently get high correlations with job performance
- Provide all the above for a minimal cost and fast turnaround time