Episode 19 Meaning of Metrics with Daniel Goldsmith

Episode 19: The Meaning of Metrics, with explores the evolution, intent, and modern use of earned value management compliance metrics—and asks an important question: are we still using them the way they were originally intended? Amber Young and Barbara Phillips welcome back esteemed recurring guest Daniel Goldsmith for a deep discussion on the history of EVM metrics, from the early days of the DCMA 14-Point Assessment through the development of broader compliance and surveillance metric frameworks used across government and industry today. The episode traces how metrics evolved from simple schedule quality checks into expansive systems intended to support objective, risk-informed assessments of EVMS health and compliance. A major theme throughout the conversation is the distinction between metrics, indicators, and intent. The discussion challenges the tendency to treat metrics as rigid pass/fail scorecards, instead emphasizing their original purpose: creating consistent starting points for meaningful conversations about system health, data credibility, and project risk. As Daniel explains, metrics were never intended to replace professional judgment or deeper analysis—they were meant to help guide it. The episode also explores the tension between objectivity and over-measurement. The hosts discuss how the number of compliance metrics has expanded dramatically over time, along with the cost and behavioral impacts associated with maintaining them. Questions emerge around threshold interpretation, “red/yellow/green” cultures, the risk of metric gaming, and how organizations can avoid losing sight of the actual purpose of project controls while chasing perfect scores. Another important thread centers on the growing maturity of the EVM community itself. The conversation highlights how modern tools and automated analysis platforms have dramatically accelerated the ability to run metrics and assess large datasets—but also warns that faster analysis can sometimes encourage shallow conclusions if the human conversation behind the metrics disappears. The group repeatedly returns to the idea that data alone is never enough; context, environment, and organizational behavior matter just as much. The discussion naturally connects into IP2M METRR and the broader shift from thinking only about “compliance” toward thinking about “maturity.” Rather than viewing metrics solely as audit mechanisms, the episode explores how they can support deeper organizational learning, root cause analysis, and continuous improvement when paired with honest dialogue and environmental assessment. Part history lesson, part philosophical discussion, and part practical industry conversation, this episode examines what metrics are really meant to do—and why understanding their meaning matters just as much as running them.