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Misunderstanding Measurement Motivations

An exploration of why we measure and how measurement can go wrong.

Overview
This article discusses common misunderstandings around the motivations for measuring performance, progress, or outcomes in engineering teams. It explains how well-intentioned metrics can backfire when the underlying purpose is unclear or misaligned with team goals.

Key Takeaways

  • Clarify the true purpose behind each metric before implementing it.
  • Avoid metric overload; focus on a few high-impact measurements.
  • Ensure metrics are tied to actionable outcomes and not just vanity numbers.
  • Involve the team in defining what success looks like to increase buy-in.
  • Regularly revisit and adjust measurements as priorities evolve.

Who Would Benefit

  • Engineering managers seeking to build effective measurement practices.
  • Technical leaders who want to avoid metric-induced dysfunction.
  • Product owners interested in aligning metrics with product goals.
  • Data-driven teams looking to improve measurement culture.

Frameworks and Methodologies

  • Objective and Key Results (OKRs)
  • Lean metrics and the Theory of Constraints
  • Balanced Scorecard principles
Source: fffej.substack.com
#measurement#metrics#leadership#engineering-management#data-driven#performance#culture

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