back
Get SIGNAL/NOISE in your inbox daily

Dysfunctional relationships between engineering teams and business units are hindering organizational success, with productivity measurement emerging as a critical pain point.

The core challenge: Engineering departments and business units often operate in isolation, creating misalignment that impedes value creation and organizational effectiveness.

  • Engineering teams are frequently viewed as costly, complex entities that are difficult to manage and understand
  • Business leaders struggle to derive measurable value from their engineering resources
  • The disconnect between technical and business units creates inefficiencies and missed opportunities

Productivity measurement complexities: The introduction of generative AI has intensified focus on developer productivity metrics, though measuring true productivity remains elusive.

  • Claims of 40% productivity increases from generative AI tools require careful scrutiny
  • Traditional metrics like lines of code become even less meaningful with AI-generated code
  • Industry expert Martin Fowler noted as far back as 2003 that reasonable productivity measurement for developers remains challenging

Impact of metrics: Performance metrics can create unintended consequences and may not align with business objectives.

  • DORA (DevOps Research and Assessment) elite status means little if customer needs aren’t met
  • The act of measurement itself can alter team behavior and priorities
  • Developer burnout and turnover costs often go unmeasured despite their significant impact

Strategic alignment: Success requires treating engineering as an integral part of business operations rather than a separate entity.

  • Engineering teams need clear direction and alignment with business objectives
  • Business leaders must provide context and remove obstacles for engineering teams
  • Focus should shift from pure productivity metrics to value creation and business outcomes

Looking ahead: Bridging the divide: Organizations must evolve beyond the current paradigm where engineering and business units operate as separate entities. Success will come from creating collaborative frameworks that leverage technical capabilities while maintaining clear alignment with business objectives. The key lies not in measuring productivity in isolation, but in fostering an environment where engineering and business units work together toward shared goals.

Recent Stories

Oct 17, 2025

DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment

The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...

Oct 17, 2025

Tying it all together: Credo’s purple cables power the $4B AI data center boom

Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...

Oct 17, 2025

Vatican launches Latin American AI network for human development

The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...