P and R measures

Last updated May 29, 2025

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

↑ 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.

This business term article is a stub. You can help Wikipedia by expanding it.

This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.

[1] -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

[2] 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.

[1]

[2]