Metrics that matter: Core predictive and diagnostic metrics for improved project controls and analytics

Orgut, R E; Zhu, J; Batouli, M; Mostafavi, A and Jaselskis, E J (2018) Metrics that matter: Core predictive and diagnostic metrics for improved project controls and analytics. Journal of Construction Engineering and Management, 144(11): 04018100, ISSN 0733-9364

Abstract

Project progress and performance assessment is critically important to the successful delivery of capital facility projects. However, there is no standardized approach for the selection and use of project control metrics, making it difficult to analyze project progress and performance for transforming data into meaningful insights. This research identified core predictive and diagnostic metrics that may provide actionable insights into a project's actual progress, performance, and forecast at completion. The methodology used for identifying these metrics included a literature review, surveys, expert evaluation utilizing the Delphi method, and statistical validation. The researchers analyzed 44 surveys and collected multiple rounds of responses from 16 subject matter experts to validate the findings. Results indicated there are 20 core metrics, seven validation metrics, seven innovative metrics, and 14 other significant metrics, which can be used for multiple project types, sizes, and contracting strategies. Statistical analyses of the survey data were used to further validate the core metrics and demonstrated that use of more core metrics corresponded with project cost performance and using more diagnostic metrics in projects led to better schedule performance.

Item Type: Article
Uncontrolled Keywords: cost and schedule; forecasting; performance assessment; project control metrics
Index terms: validation, methodology, evaluation, schedule performance, survey, project cost, strategy, literature review, performance assessment, project control, forecasting, Delphi method, statistical analysis
Subjects: data science, data analysis and analytics, prediction and forecasting, data collection methods, control systems, project controls, assessment methods, management, research methods, economics, professional development
Topics: Human Resources, Time Control, Research Practice, Project Management, Information Management, Cost Management, Business Strategy
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here