P and R measures
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P and R measures are the statistics used to evaluate the efficiency and effectiveness of business processes, particularly automated business processes.
The P measures are the process measures – these statistics that record the number of times things occur.[1] Examples include:
- the number of times an error loop is used
- the number of times an approval loop is used
- the average time to complete a particular task in the process
and show how efficient the process is.
The R measures are the results measures – these statistics record the 'outcomes' of the process. Examples include:
- the number of occasions when the process completed correctly
- the number of times rejections occurred
- the number of times approval was not given
and show how effective the process is.[2]
References
[edit]- ^ del-Río-Ortega, Adela; Resinas, Manuel; Ruiz-Cortés, Antonio (2019), "Business Process Performance Measurement", in Sakr, Sherif; Zomaya, Albert Y. (eds.), Encyclopedia of Big Data Technologies, Cham: Springer International Publishing, pp. 416–422, doi:10.1007/978-3-319-77525-8_99, ISBN 978-3-319-77525-8, retrieved 2025-05-05
- ^ Van Looy, Amy; Shafagatova, Aygun (2016-10-18). "Business process performance measurement: a structured literature review of indicators, measures and metrics". SpringerPlus. 5 (1): 1797. doi:10.1186/s40064-016-3498-1. ISSN 2193-1801. PMC 5069235. PMID 27812439.
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