https://engineering-leadership.hinshelwood.com/tags/systems-thinking/ Recent content in Systems Thinking on Engineering Leadership in AI & Software Hugo en Tue, 16 Jun 2026 17:40:35 +0000 https://engineering-leadership.hinshelwood.com/articles/are-we-still-pretending-coding-was-the-bottleneck/ Mon, 01 Sep 2025 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/are-we-still-pretending-coding-was-the-bottleneck/ AI writing code is not the real game-changer; coding was never the main bottleneck in software delivery. The real constraints are in poor system design, handoffs, unclear requirements, and lack of built-in quality, which AI will only make more visible. To benefit from AI, focus on improving flow, building quality in from the start, and making teams accountable for outcomes rather than output. https://engineering-leadership.hinshelwood.com/articles/why-measuring-individual-cycle-time-is-killing-your-flow-and-what-to-do-instead/ Mon, 03 Mar 2025 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/why-measuring-individual-cycle-time-is-killing-your-flow-and-what-to-do-instead/ Measuring individual cycle time in Kanban misleads teams by focusing on personal speed instead of system flow, which ignores real bottlenecks and encourages counterproductive behaviors. To improve delivery, track system-wide metrics like lead time, work in progress, process cycle efficiency, and blockers, then address constraints at the process level. Development managers should shift measurement and improvement efforts from individuals to the overall workflow to achieve better outcomes. https://engineering-leadership.hinshelwood.com/signals/why-measuring-individual-cycle-time-fails-to-help-teams/ Sat, 15 Mar 2025 16:30:02 +0000 https://engineering-leadership.hinshelwood.com/signals/why-measuring-individual-cycle-time-fails-to-help-teams/ Measuring individual cycle time does not help teams improve because it focuses on people instead of the overall system. Real bottlenecks come from process issues like queues and overloaded work, not individual speed. To improve team performance, focus on system-level metrics such as lead time, throughput, and process efficiency, and address process bottlenecks rather than monitoring individuals. https://engineering-leadership.hinshelwood.com/videos/transforming-agile-how-to-shift-from-blame-to-systemic-solutions-for-better-team-dynamics/ Fri, 29 Sep 2023 07:00:14 +0000 https://engineering-leadership.hinshelwood.com/videos/transforming-agile-how-to-shift-from-blame-to-systemic-solutions-for-better-team-dynamics/ Problems in agile teams are usually caused by flawed measurement systems and processes, not individual intent. Metrics drive behavior, so focusing on changing how people are evaluated and incentivized is more effective than trying to change culture directly. Review your team’s metrics and processes to remove barriers and foster adaptability, which will lead to better collaboration and innovation. https://engineering-leadership.hinshelwood.com/videos/addressing-systemic-issues-in-agile-organizations/ Wed, 24 Jan 2024 07:00:16 +0000 https://engineering-leadership.hinshelwood.com/videos/addressing-systemic-issues-in-agile-organizations/ Many organizations adopting Agile focus on surface-level rituals instead of addressing deeper systemic issues, which limits real improvement. To drive true effectiveness, leaders should measure meaningful outcomes like ROI, profit per team member, and time to learn, and be willing to make bold organizational changes rather than incremental tweaks. The key takeaway is that lasting Agile success requires courage to tackle root problems and transform the entire business system, not just follow ceremonies. https://engineering-leadership.hinshelwood.com/videos/avoiding-the-local-optimisation-trap-how-to-ensure-your-governance-drives-organisational-success/ Sat, 08 Feb 2025 07:49:38 +0000 https://engineering-leadership.hinshelwood.com/videos/avoiding-the-local-optimisation-trap-how-to-ensure-your-governance-drives-organisational-success/ Focusing on optimising individual teams or processes without considering their impact on the whole organisation can create inefficiencies and misalignment. Integrating governance into daily work and encouraging cross-team collaboration helps ensure decisions support overall business goals. Development managers should prioritise system-wide alignment over isolated improvements to drive lasting organisational success. https://engineering-leadership.hinshelwood.com/signals/measuring-worker-speed-in-manufacturing-plant-operations/ Tue, 11 Mar 2025 16:30:01 +0000 https://engineering-leadership.hinshelwood.com/signals/measuring-worker-speed-in-manufacturing-plant-operations/ Focusing on individual worker speed in manufacturing or knowledge work does not improve overall delivery if the system has bottlenecks or delays. True speed comes from addressing system-wide issues, not by pushing individuals to work faster. Development managers should prioritize fixing process bottlenecks rather than measuring or incentivizing individual task completion speed. https://engineering-leadership.hinshelwood.com/videos/there-s-no-such-thing-as-an-agile-transformation-why-you-should-focus-on-the-system-not-the-culture/ Sun, 21 Jan 2024 07:00:06 +0000 https://engineering-leadership.hinshelwood.com/videos/there-s-no-such-thing-as-an-agile-transformation-why-you-should-focus-on-the-system-not-the-culture/ Focusing on changing organizational culture directly does not work because culture is an outcome of the underlying system, such as rules, processes, and decision-making structures. To achieve real and lasting change, development managers should make small, targeted adjustments to these systems, monitor the impact on team behavior, and iterate as needed. Leaders must support and model these changes, as system tweaks drive the cultural shifts that Agile aims for. https://engineering-leadership.hinshelwood.com/tags/organisational-physics/ Tue, 11 Feb 2025 10:17:24 +0000 https://engineering-leadership.hinshelwood.com/tags/organisational-physics/ Organisational Physics is a conceptual model that applies systems thinking to understand and influence the dynamics within an organisation. It originates from the need to comprehend how various elements, including people, processes, and technology, interact and affect overall organisational behaviour and performance. This model is crucial in agile, DevOps, and product development contexts as it enables teams to recognise patterns and feedback loops, thereby identifying systemic issues and areas for improvement. By providing a framework for understanding the forces at play, Organisational Physics facilitates more effective decision-making, change management, and innovation. It empowers organisations to become more adaptable and resilient, allowing them to respond to challenges while maintaining a focus on value delivery. Rather than merely managing specific methodologies, this approach offers a holistic perspective on the underlying dynamics that drive performance, fostering a culture of continuous improvement. In an era of rapid change, Organisational Physics serves as a foundation for leaders to align their strategies with the realities of their operational environments, ultimately enhancing decision-making processes and contributing to long-term organisational success. https://engineering-leadership.hinshelwood.com/tags/complexity-thinking/ Tue, 11 Feb 2025 10:16:54 +0000 https://engineering-leadership.hinshelwood.com/tags/complexity-thinking/ Complexity Thinking is an approach that utilises principles from complexity science to address the intricate dynamics present within organisations and systems. It acknowledges that many challenges faced by organisations are complex rather than merely complicated, characterised by unpredictable interactions and emergent behaviours. This perspective is vital for teams striving to deliver value in a predictable and sustainable manner, as it promotes a deeper understanding of the interdependencies within systems. By employing Complexity Thinking, teams can better foresee how changes in one area may have cascading effects throughout the organisation, leading to unintended consequences. This understanding nurtures a culture of adaptability, enabling teams to respond effectively to changing circumstances rather than relying on linear planning. It empowers organisations to embrace uncertainty, fostering experimentation and learning, which are critical for innovation. Furthermore, Complexity Thinking aligns with Agile and Lean principles by advocating for iterative processes and continuous feedback loops, shifting the focus from isolated tasks to the overall health and performance of the system. This systemic approach not only improves decision-making but also builds resilience, ensuring organisations can thrive in the face of change and complexity. By integrating Complexity Thinking into their practices, teams can discover new avenues for growth and improvement, ultimately enhancing their ability to deliver value consistently and effectively. https://engineering-leadership.hinshelwood.com/tags/sociotechnical-systems/ Tue, 11 Feb 2025 10:16:54 +0000 https://engineering-leadership.hinshelwood.com/tags/sociotechnical-systems/ Sociotechnical systems encompass the complex interactions between social and technical components within an organisation, particularly relevant to software delivery and team performance. This concept highlights that technology is not an isolated entity; rather, it is intricately linked to the organisational culture, structures, and processes. Understanding this duality allows teams to recognise how their workflows, communication styles, and tools impact overall effectiveness. The importance of sociotechnical systems lies in their capacity to create environments where teams can deliver value in a predictable and sustainable manner. When social factors, such as collaboration, trust, and motivation, are harmonised with technical capabilities, including tools and processes, organisations can enhance efficiency and foster innovation. This alignment equips teams to swiftly adapt to evolving market demands and customer expectations, thereby improving agility. Furthermore, sociotechnical systems advocate for a long-term, systemic approach to problem-solving, promoting continuous improvement and learning. By concentrating on the interplay between human and technological elements, organisations can establish resilient frameworks that facilitate ongoing adaptation and growth, ensuring optimal utilisation of both human and technical resources to drive value creation. This comprehensive perspective is crucial for navigating the complexities of contemporary product development and achieving sustained success in a competitive environment. https://engineering-leadership.hinshelwood.com/tags/systems-thinking/ Tue, 11 Feb 2025 10:16:54 +0000 https://engineering-leadership.hinshelwood.com/tags/systems-thinking/ Systems Thinking is a holistic methodology that helps organisations comprehend and manage complexity by perceiving systems as interconnected entities rather than as separate components. Originating from various disciplines, this approach is utilised to enhance decision-making and facilitate sustainable change within organisations. Its significance lies in fostering a culture of collaboration and shared understanding, enabling teams to foresee the repercussions of their actions throughout the entire system. By recognising interdependencies, organisations can pinpoint leverage points that yield substantial improvements in performance and value delivery. Systems Thinking aligns with Agile, Lean, and DevOps principles by promoting continuous learning and adaptation, allowing teams to respond effectively to feedback and changing requirements. Integrating Systems Thinking into organisational practices not only bolsters innovation and consistent value delivery but also establishes a resilient framework that supports long-term success. This comprehensive perspective aids in problem-solving and nurtures an environment conducive to team growth, ultimately leading to more effective and sustainable outcomes.