Self-Managing Teams vs. Directly Responsible Individuals: Navigating Engineering Culture

In the rapidly evolving landscape of software development, the dynamics of team structures and accountability have sparked considerable debate. As a long-time advocate of the agile movement, I have witnessed firsthand its transformative potential. However, my perspective on various practices within this framework has evolved over time. One area of particular interest is the concept of self-managing teams versus the directly responsible individual (DRI) model, famously championed by Steve Jobs during his tenure at Apple. While self-managing teams may hold theoretical appeal, especially in smaller setups, they often struggle to scale effectively. In contrast, the DRI model promotes a higher level of accountability and ownership, making it easier to implement across larger organizations.

Self-managing teams, at their core, are designed to empower individuals to take charge of their work without the constraints of traditional hierarchical structures. The idea is that by distributing decision-making authority among team members, organizations can foster innovation, agility, and collaboration. In theory, this should lead to increased motivation and job satisfaction, as individuals feel a sense of autonomy and ownership over their contributions. However, the practical application of this model often presents challenges.

In smaller teams or startups, self-managing structures can flourish. The communication is direct, roles are flexible, and everyone is typically aligned with the organization's goals. The nimbleness of such teams allows for rapid iteration and adaptation, which is crucial in the fast-paced tech landscape. Yet, as organizations grow, the complexity of projects increases, and the decentralized nature of self-managing teams can lead to confusion regarding accountability and ownership. Without clearly defined roles, team members may find themselves working toward different objectives or duplicating efforts, ultimately hindering productivity.

On the other hand, the DRI model reframes accountability within a structured hierarchy. In this model, every project or task has a designated individual responsible for its success or failure. This clarity not only fosters a sense of ownership but also establishes a direct line of accountability. When individuals know they are the DRI for a particular outcome, they are more likely to invest the necessary effort to ensure success. This model is particularly advantageous in larger organizations where the complexity of projects and the number of stakeholders can create a web of overlapping responsibilities.

One of the fundamental distinctions between the DRI model and a traditional hierarchical structure is the focus on goals, ownership, and execution. In a typical hierarchy, power dynamics can overshadow individual contributions, leading to a culture of blame when things go wrong. Conversely, the DRI model emphasizes well-defined expectations and outcomes. Each DRI understands not only their specific responsibilities but also how their work contributes to broader organizational objectives. This alignment cultivates a culture of collaboration, where individuals are encouraged to seek help from others while remaining accountable for their tasks.

Moreover, the DRI model is easier to scale than self-managing teams. As organizations grow, the need for clear communication and accountability becomes paramount. The DRI approach allows for the establishment of clear reporting lines and decision-making authority, ensuring that projects remain on track even as more individuals are involved. This structured approach can be particularly beneficial in engineering cultures, where projects often involve multiple teams and require coordination across different functional areas.

However, the DRI model is not without its challenges. It requires careful implementation and a cultural shift to ensure that individuals feel empowered rather than micromanaged. Organizations must foster an environment where DRIs can thrive—one that encourages open communication, feedback, and collaboration. When DRIs are supported, they can lead their teams effectively, driving innovation while maintaining accountability.

The shift from self-managing teams to the DRI model raises important questions about the future of engineering culture. How do we balance the need for autonomy with the necessity of accountability? Can we create an environment where individuals feel empowered to take risks and innovate while still being held responsible for their contributions? These questions are pivotal as organizations continue to adapt to the rapidly changing landscape of technology and team dynamics.

In conclusion, as we navigate the complexities of engineering culture, we must consider the implications of our team structures. The self-managing team model offers valuable insights into empowerment and collaboration but may struggle to scale in larger organizations. The DRI model, while promoting accountability and ownership, requires a supportive culture to truly flourish. As we reflect on these dynamics, it is essential to explore how we can create environments that embrace both accountability and autonomy, fostering a culture of innovation that thrives in the face of complexity.

What does your organization prioritize more: the autonomy of self-managing teams or the accountability of directly responsible individuals, and how does that choice shape your engineering culture?

Build & Amplify Your Professional Authority with Tnelat for FREE.

    Unlock more content by signing up!

    Join the community for access to similar engaging and valuable content. Don't miss out, Register now for a personalized experience!

    Why Enterprises Should Rethink Foundation Models in AI

    In the rapidly evolving landscape of artificial intelligence (AI), enterprises are often faced with the dilemma of adopting cutting-edge technologies while ensuring sustainability and profitability...

    by henrydjacob

    on August 24, 2024

    Story Behind the StudyBoosterAI

     In the last 6 months, I've experimented with various AI-native ideas. StudyBoosterAI is one of them, born out of a personal problem. As a working parent, the struggle to support our son has been o...

    by henrydjacob

    on April 29, 2024

    We Don't Need Data; We Need Metrics

    In the past decade, the corporate world has witnessed an explosion of investment in data and analytics. Companies poured millions of dollars and countless hours into building sophisticated data inf...

    by henrydjacob

    on March 07, 2025

    Never Enter a Meeting Without a Goal

    Meetings are an integral part of professional life. Whether you love them or loathe them, they are often necessary for collaboration, decision-making, and progress in the workplace. For some, meeti...

    by henrydjacob

    on July 08, 2024

    Owning Metrics: The Key to Building a Data-Driven Organization

    In modern businesses, metrics have become the cornerstone of decision-making. Every CEO dreams of a data-driven organization, where insights gleaned from data analytics pave the way for strategic g...

    by henrydjacob

    on March 13, 2024

    Why Customer Success is Product and Engineering Team's Responsibility

    Where innovation meets functionality, there lies a critical yet often overlooked aspect – customer success. While the spotlight typically shines on customer success or support teams when it comes t...

    by henrydjacob

    on February 20, 2024