https://engineering-leadership.hinshelwood.com/tags/sensemaking/ Recent content in Sensemaking on Engineering Leadership in AI & Software Hugo en Tue, 16 Jun 2026 17:40:35 +0000 https://engineering-leadership.hinshelwood.com/videos/from-firefighting-to-focus-how-ctos-can-lead-with-clarity-instead-of-chasing-the-next-big-thing/ Fri, 23 May 2025 06:00:12 +0000 https://engineering-leadership.hinshelwood.com/videos/from-firefighting-to-focus-how-ctos-can-lead-with-clarity-instead-of-chasing-the-next-big-thing/ CTOs should stop chasing every new technology and instead focus on making their systems and decision-making processes visible to identify real improvement opportunities. Effective leadership means building a clear, context-driven strategy and fostering sustainable innovation by investing in team learning and system evolution. Take action by stepping back from survival mode, clarifying how work happens, and leading with intention for long-term value. https://engineering-leadership.hinshelwood.com/videos/how-ctos-can-cut-through-the-noise-building-real-clarity-and-confidence-in-a-world-of-ai-hype-and-microservices-madness/ Fri, 16 May 2025 06:00:22 +0000 https://engineering-leadership.hinshelwood.com/videos/how-ctos-can-cut-through-the-noise-building-real-clarity-and-confidence-in-a-world-of-ai-hype-and-microservices-madness/ CTOs face constant pressure to adopt new technologies like AI and microservices, but chasing every trend often leads to confusion and technical debt. The key is to focus on understanding your organisation’s real challenges, build decision-making capability at all levels, and invest in clarity rather than hype. Partnering with experts who help you see your true constraints and strengths can enable you to set your own pace and lead with confidence. https://engineering-leadership.hinshelwood.com/guides/kendall-guide/ Wed, 17 Sep 2025 00:00:00 +0000 https://engineering-leadership.hinshelwood.com/guides/kendall-guide/ A practical framework guiding organisations to adopt AI by prioritising real problems, clarifying context, and enabling adaptive, evidence-based decision-making and collaboration. https://engineering-leadership.hinshelwood.com/videos/if-you-could-teach-just-one-thing-about-scrum-what-would-it-be/ Mon, 27 Feb 2023 07:00:01 +0000 https://engineering-leadership.hinshelwood.com/videos/if-you-could-teach-just-one-thing-about-scrum-what-would-it-be/ The most important thing to teach about Scrum is the principle of empiricism, which means making work transparent, inspecting progress frequently, and adapting based on what is learned. This approach helps teams navigate complex, uncertain environments where traditional project management falls short. Focus on building your team’s ability to learn and adapt quickly, as Scrum reveals problems but does not solve them for you. https://engineering-leadership.hinshelwood.com/articles/rethinking-product-backlog-navigating-through-the-weeds-of-complexity/ Thu, 17 Aug 2023 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/rethinking-product-backlog-navigating-through-the-weeds-of-complexity/ Relying on rigid hierarchies in the Product Backlog can hinder transparency and adaptability in complex product development. Instead, focus on a flat backlog that highlights valuable, deliverable items, supports team autonomy, and leverages emergent practices over fixed best practices. Empower your teams to structure the backlog in ways that foster learning, innovation, and resilience in changing environments. https://engineering-leadership.hinshelwood.com/articles/human-and-ai-agency-in-adaptive-systems-strategy-before-optimisation/ Mon, 30 Jun 2025 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/human-and-ai-agency-in-adaptive-systems-strategy-before-optimisation/ Human decision-making is essential for setting strategy, purpose, and adapting to change, while AI should be used for tactical optimisation within clear human-defined boundaries. Over-relying on AI for adaptation leads to fragile systems, loss of accountability, and strategic obsolescence. Development managers should ensure humans remain responsible for strategic direction and adaptation, using AI only to optimise within those parameters. https://engineering-leadership.hinshelwood.com/tags/social-technologies/ Wed, 19 Mar 2025 10:17:24 +0000 https://engineering-leadership.hinshelwood.com/tags/social-technologies/ Social technologies refer to foundational philosophies that enhance adaptability, emergent coordination, and collective intelligence in complex environments characterised by high variance. Unlike traditional methodologies that prescribe specific processes, social technologies provide a framework for decision-making that emphasises continuous learning, self-management, and decentralised authority. This approach allows organisations to navigate uncertainty with intention rather than relying on rigid procedures. Key principles include self-organisation, which promotes decentralised structures over hierarchical control; empirical inquiry, which prioritises iterative learning and experimentation; and collective intelligence, which recognises work as a social process driven by shared understanding. The importance of these philosophies lies in their ability to foster fluidity and resilience within organisations, enabling them to adapt to change and innovate effectively. By cultivating a social technology ethos, embracing epistemic humility, fostering emergent order, promoting participatory governance, and committing to continuous sense-making, organisations can transform their approach to complexity. This shift not only enhances collaboration and value creation but also positions adaptability as an intrinsic aspect of organisational culture, ultimately driving continuous progress in product development and operational effectiveness. https://engineering-leadership.hinshelwood.com/tags/sensemaking/ Tue, 11 Feb 2025 10:17:24 +0000 https://engineering-leadership.hinshelwood.com/tags/sensemaking/ Sensemaking is the process by which organisations interpret complex information and situations to make informed decisions, involving data gathering, pattern recognition, and insight derivation. This capability is particularly valuable in environments marked by rapid change and uncertainty, as it enables teams to respond effectively to challenges and opportunities. By cultivating a culture of sensemaking, organisations can enhance their ability to deliver value in a predictable and sustainable manner, as teams become skilled at understanding customer needs, market dynamics, and internal capabilities, thereby aligning their efforts with strategic objectives. Unlike methodologies such as Agile Planning or Continuous Improvement, which focus on specific practices, sensemaking serves as a foundational framework that supports these initiatives by ensuring decisions are informed by a comprehensive understanding of the context. This long-term, enabling nature of sensemaking is essential for organisational agility, fostering continuous learning and innovation at all levels. By integrating sensemaking into daily operations, teams can better anticipate challenges and seize opportunities, ultimately improving their performance and adaptability in a complex landscape. 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.