https://engineering-leadership.hinshelwood.com/tags/evidence-based-management/ Recent content in Evidence Based Management on Engineering Leadership in AI & Software Hugo en Tue, 16 Jun 2026 17:40:35 +0000 https://engineering-leadership.hinshelwood.com/articles/the-estimation-trap-how-tracking-accuracy-undermines-trust-flow-and-value-in-software-delivery/ Mon, 22 Sep 2025 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/the-estimation-trap-how-tracking-accuracy-undermines-trust-flow-and-value-in-software-delivery/ Focusing on estimation accuracy as a performance metric leads to fear, gaming, and a culture of compliance rather than real improvement, which undermines trust, innovation, and actual value delivery. Research shows that when teams are judged on how closely they meet estimates, they pad numbers, hide risks, and avoid complex work, resulting in false success and missed opportunities for learning. Instead, shift attention to evidence-based metrics that reflect customer value, system health, and delivery flow, and use estimates only to support learning and informed conversations, not as tools for control. https://engineering-leadership.hinshelwood.com/articles/stop-hiding-behind-complexity-and-start-delivering-continuously/ Mon, 24 Feb 2025 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/stop-hiding-behind-complexity-and-start-delivering-continuously/ Complexity is not a valid reason to avoid continuous delivery; organisations like Azure DevOps and Starbucks have proven that even large, complex systems can achieve frequent, reliable releases with the right investment in automation, process improvement, and culture change. Key actions include automating everything, adopting trunk-based development, using feature flags, shifting quality left, and iterating on pain points. Development managers should focus on measuring and improving flow metrics and value delivery, prioritising organisational commitment to overcome resistance and realise the benefits of continuous delivery. https://engineering-leadership.hinshelwood.com/articles/how-to-build-for-business-resilience-and-continuity/ Mon, 26 May 2025 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/how-to-build-for-business-resilience-and-continuity/ Building business resilience requires intentional design, strong observability, and aggressive decoupling so failures do not cascade across systems. Empower teams to act quickly, treat deployments as routine, and design for fast recovery using practices like chaos engineering and circuit breakers. Make resilience a core part of your culture and operations, not a one-time project, and use real metrics to guide continuous improvement. https://engineering-leadership.hinshelwood.com/signals/building-the-wrong-thing-is-worse-than-fixing-a-bug/ Mon, 14 Apr 2025 15:30:31 +0100 https://engineering-leadership.hinshelwood.com/signals/building-the-wrong-thing-is-worse-than-fixing-a-bug/ Most features built by software teams do not deliver value, with 65 percent considered waste. Shortening feedback loops through frequent reviews and real user input helps teams focus on what matters and avoid building the wrong things. Act now to get faster, actionable feedback and prevent wasted time and resources. https://engineering-leadership.hinshelwood.com/articles/metrics-that-matter-with-evidence-based-management/ Tue, 25 Feb 2014 13:29:14 +0000 https://engineering-leadership.hinshelwood.com/articles/metrics-that-matter-with-evidence-based-management/ Explains how evidence-based management uses reliable metrics and KPIs at team and organisational levels to drive better decisions, value delivery, and process improvement. https://engineering-leadership.hinshelwood.com/articles/the-missing-lever-in-agile-transformations/ Mon, 02 Jun 2025 09:00:00 +0000 https://engineering-leadership.hinshelwood.com/articles/the-missing-lever-in-agile-transformations/ Agile transformations often fail because they focus on following ceremonies instead of building real agency in people and systems. True agility comes from empowering individuals and teams to make decisions and adapt, supported by evidence-based management to measure outcomes and guide change. To succeed, shift your transformation efforts from compliance to fostering agency and use data to drive continuous improvement. https://engineering-leadership.hinshelwood.com/videos/evidence-based-management-the-four-key-value-areas-in-scrum/ Fri, 13 Sep 2024 07:00:34 +0000 https://engineering-leadership.hinshelwood.com/videos/evidence-based-management-the-four-key-value-areas-in-scrum/ Evidence-based management in Scrum focuses on four key value areas, current value, unrealized value, ability to innovate, and time to market, to guide data-driven decisions and balance innovation with stability. Tracking metrics in these areas helps teams improve customer satisfaction, identify growth opportunities, manage technical debt, and speed up delivery. Development managers should start measuring these areas to align teams with evidence-based management and drive sustainable product success. https://engineering-leadership.hinshelwood.com/videos/how-to-measure-your-organization's-ability-to-improve-value-through-innovation/ Thu, 25 Jan 2024 11:00:18 +0000 https://engineering-leadership.hinshelwood.com/videos/how-to-measure-your-organization's-ability-to-improve-value-through-innovation/ To improve your organization’s ability to deliver value, focus on measuring and enhancing your capacity for innovation using evidence-based management and key metrics like active branches, technical debt, innovation rate, and complexity overhead. Regularly monitor these metrics, set clear innovation goals, and foster a culture of continuous improvement to identify bottlenecks and drive better outcomes. Take action by simplifying processes, managing technical debt, and increasing time spent on new features to boost your team’s innovation and long-term success. https://engineering-leadership.hinshelwood.com/videos/mastering-evidence-based-management-for-agile-success/ Wed, 02 Oct 2024 13:17:24 +0000 https://engineering-leadership.hinshelwood.com/videos/mastering-evidence-based-management-for-agile-success/ Evidence-Based Management helps Agile teams make better decisions by using data from four key areas: current value, unrealized value, ability to innovate, and time to market. By collecting and analyzing relevant metrics, teams can prioritize improvements, boost innovation, and deliver more value to customers. Start by tracking a few key metrics with simple tools, then use those insights to guide your team’s next steps. https://engineering-leadership.hinshelwood.com/articles/evidence-based-management-gathering-the-metrics/ Wed, 30 Dec 2020 14:02:07 +0000 https://engineering-leadership.hinshelwood.com/articles/evidence-based-management-gathering-the-metrics/ Evidence-based Management helps software organizations focus on delivering real value by tracking metrics in three areas: current value, time to market, and ability to innovate. Traditional measures like on-time and on-budget delivery miss customer value, so organizations should gather and regularly review these agile-focused metrics to guide improvement. Start collecting baseline data now and reassess quarterly to track progress and demonstrate the impact of agile investments. https://engineering-leadership.hinshelwood.com/videos/mastering-outcomes-how-evidence-based-management-transforms-your-project-success/ Thu, 12 Sep 2024 13:46:15 +0000 https://engineering-leadership.hinshelwood.com/videos/mastering-outcomes-how-evidence-based-management-transforms-your-project-success/ Defining clear, measurable outcomes and using both leading and lagging metrics are essential for project success. Evidence-based management helps teams make informed decisions by consistently collecting and analyzing data, then iterating based on insights. Development managers should focus on setting SMART goals, tracking the right metrics, and using data to guide continuous improvement. https://engineering-leadership.hinshelwood.com/videos/harnessing-your-entrepreneurial-spirit-key-strategies-for-product-owners-to-drive-team-success/ Wed, 20 Sep 2023 07:00:00 +0000 https://engineering-leadership.hinshelwood.com/videos/harnessing-your-entrepreneurial-spirit-key-strategies-for-product-owners-to-drive-team-success/ Product owners should connect their teams to the value they create by clearly communicating vision and goals, and foster evidence-based decision-making using data and user feedback rather than intuition. Focusing on metrics like time to market and balancing innovation with maintenance helps teams deliver better results faster. Encourage regular dialogue and rapid prototyping to keep teams engaged and responsive to user needs. https://engineering-leadership.hinshelwood.com/guides/evidence-based-management-guide/ Wed, 01 Jan 2020 00:00:00 +0000 https://engineering-leadership.hinshelwood.com/guides/evidence-based-management-guide/ Evidence-Based Management (EBM) guides organisations to improve value delivery under uncertainty by using empirical goals, measurement, and continuous experimentation. https://engineering-leadership.hinshelwood.com/videos/the-importance-of-validation-in-product-development-a-strategic-approach/ Mon, 02 Sep 2024 15:30:15 +0000 https://engineering-leadership.hinshelwood.com/videos/the-importance-of-validation-in-product-development-a-strategic-approach/ Prioritizing features to close sales can fragment your product and lead to long-term costs that outweigh short-term gains. Shifting to a hypothesis-driven approach, where you define, track, and validate the value of new features using data, helps ensure you invest in what truly benefits users and the business. Equip product managers with the right telemetry and authority to make evidence-based decisions, and avoid building features that do not deliver measurable value. https://engineering-leadership.hinshelwood.com/videos/transform-your-leadership-the-power-of-evidence-based-management-in-agile/ Wed, 29 Nov 2023 11:00:03 +0000 https://engineering-leadership.hinshelwood.com/videos/transform-your-leadership-the-power-of-evidence-based-management-in-agile/ Evidence-based management helps Agile leaders make better decisions by using data on team performance, customer satisfaction, and product quality, leading to continuous improvement and stronger collaboration. Real-world examples show that adopting EBM can improve delivery times, morale, and outcomes. Development managers should invest in EBM training, encourage data-driven practices, and support experimentation to drive team success. https://engineering-leadership.hinshelwood.com/videos/harnessing-evidence-based-management-transform-your-decision-making-with-data-driven-insights/ Wed, 14 Aug 2024 07:12:45 +0000 https://engineering-leadership.hinshelwood.com/videos/harnessing-evidence-based-management-transform-your-decision-making-with-data-driven-insights/ Evidence-based management helps you make better decisions by using data to inform, not control, your actions and team behaviours. Focus on choosing the right metrics that align with your business goals, understand the context behind the numbers, and engage with teams to uncover root causes. Use data as a guide for continuous improvement and be ready to adapt your strategies as new insights emerge. https://engineering-leadership.hinshelwood.com/videos/mastering-evidence-based-management-in-agile-inform-don-t-control/ Wed, 11 Sep 2024 13:36:29 +0000 https://engineering-leadership.hinshelwood.com/videos/mastering-evidence-based-management-in-agile-inform-don-t-control/ Evidence-Based Management helps you use data to guide decisions and understand team behaviors, but it should inform rather than control actions. Define clear outcomes, choose metrics that align with those goals, and use data as a conversation starter to uncover challenges and drive improvement. Regularly review metrics with your teams to stay aligned and focus on delivering real value, not just hitting targets. https://engineering-leadership.hinshelwood.com/videos/the-importance-of-evidence-based-management-in-agile-environments/ Mon, 22 Jan 2024 11:00:07 +0000 https://engineering-leadership.hinshelwood.com/videos/the-importance-of-evidence-based-management-in-agile-environments/ Evidence-based management helps Agile teams make smarter decisions by tracking key metrics like value delivered, time to market, and ability to innovate, ensuring changes actually lead to improvement. Without data, teams risk wasting time and resources on ineffective changes, but with regular measurement and analysis, they can adapt quickly and foster continuous improvement. Start by identifying and tracking a few important metrics, involve your team, and use the insights to guide your next steps. https://engineering-leadership.hinshelwood.com/videos/the-power-of-metrics-why-pal-ebm-is-essential-for-your-organization/ Sat, 27 Jan 2024 07:00:19 +0000 https://engineering-leadership.hinshelwood.com/videos/the-power-of-metrics-why-pal-ebm-is-essential-for-your-organization/ The PAL-EBM class helps leaders and teams understand how to use metrics effectively to drive organizational success by focusing on real data, transparency, and the human impact of measurement. Participants learn through real-world stories why some metrics fail, how to avoid negative behaviors like those seen with Microsoft’s stack ranking, and how to foster strategic conversations that lead to better outcomes. Leadership teams are encouraged to take the class together to align on measuring success, iteratively strategize, and make informed decisions that support long-term goals. https://engineering-leadership.hinshelwood.com/videos/how-to-discover-unrealized-value-in-your-product/ Wed, 24 Jan 2024 11:00:29 +0000 https://engineering-leadership.hinshelwood.com/videos/how-to-discover-unrealized-value-in-your-product/ Evidence-Based Management helps you find hidden opportunities to improve your product by using metrics like customer satisfaction, market share, and innovation to identify gaps between current performance and potential value. By adding these insights to your product backlog and prioritizing improvements, you can boost user satisfaction, reduce churn, and stay competitive. Regularly review feedback and involve stakeholders to ensure continuous improvement and maximize your product’s value. https://engineering-leadership.hinshelwood.com/articles/what-my-father-taught-me-about-evidence-based-management-34-years-before-it-was-invented/ Mon, 13 Jul 2020 18:42:12 +0000 https://engineering-leadership.hinshelwood.com/articles/what-my-father-taught-me-about-evidence-based-management-34-years-before-it-was-invented/ Explores how evidence-based management uses data-driven practices to improve organisational agility, value delivery, and decision-making in both business and software contexts. https://engineering-leadership.hinshelwood.com/articles/there-is-no-place-like-production/ Mon, 28 Dec 2020 14:12:00 +0000 https://engineering-leadership.hinshelwood.com/articles/there-is-no-place-like-production/ To deliver real value and reduce risk, teams must release features to production quickly so real users can provide feedback, since assumptions and testing environments cannot replace actual usage. Key measures like customer satisfaction, product usage, and employee satisfaction help validate value, and releasing early also offers financial benefits through capital expenditure write-downs. Prioritize getting small increments into production to maximize learning, value, and organizational savings. https://engineering-leadership.hinshelwood.com/videos/how-do-you-know-the-value-currently-delivered-in-your-organization/ Tue, 23 Jan 2024 11:00:05 +0000 https://engineering-leadership.hinshelwood.com/videos/how-do-you-know-the-value-currently-delivered-in-your-organization/ Evidence-Based Management helps organizations measure and improve the value they deliver by using key metrics like customer satisfaction, employee engagement, revenue per employee, product cost ratio, and customer usage. This approach enables clearer goals, better decisions, and ongoing improvement by relying on data instead of assumptions. Start small with relevant metrics, involve your team, and regularly review results to drive meaningful change. https://engineering-leadership.hinshelwood.com/videos/unlocking-unrealised-value-the-key-to-elevating-your-product-development-strategy/ Tue, 11 Feb 2025 06:00:40 +0000 https://engineering-leadership.hinshelwood.com/videos/unlocking-unrealised-value-the-key-to-elevating-your-product-development-strategy/ Unrealised value, or the features your users need but you have not built or identified yet, is often overlooked but crucial for product success. To unlock this value, focus on understanding your users, validate assumptions with small experiments before full development, and increase deployment frequency to speed up feedback and learning. Make it a priority to continuously learn from your market and adapt your product strategy to stay relevant and maximise impact. https://engineering-leadership.hinshelwood.com/videos/how-do-you-know-how-long-it-takes-to-deliver-value/ Fri, 26 Jan 2024 11:00:51 +0000 https://engineering-leadership.hinshelwood.com/videos/how-do-you-know-how-long-it-takes-to-deliver-value/ Measuring and improving Time to Market is essential for delivering value quickly and staying competitive. Key metrics like lead time, cycle time, time to pivot, time to learn, and time to fix help teams identify bottlenecks and make better decisions. Focus on streamlining processes, automating tasks, gathering fast feedback, and building cross-functional teams to reduce delivery times and ensure you are delivering what customers need most. https://engineering-leadership.hinshelwood.com/videos/say-do-metrics-avoiding-agile-banditry-in-your-organization/ Fri, 05 Jan 2024 07:00:28 +0000 https://engineering-leadership.hinshelwood.com/videos/say-do-metrics-avoiding-agile-banditry-in-your-organization/ Relying on say-do metrics, which compare what teams promise to what they deliver, often leads to manipulated data, vanity metrics, and a focus on outputs instead of real value. This undermines psychological safety, encourages gaming the system, and disconnects leadership from actual progress. Development managers should shift their focus to measuring outcomes and value delivered, foster transparency, and create an environment where teams can be honest and adapt to change. https://engineering-leadership.hinshelwood.com/videos/mastering-evidence-based-management-ebm-for-product-owners-maximizing-value-delivery/ Mon, 29 Jan 2024 07:00:07 +0000 https://engineering-leadership.hinshelwood.com/videos/mastering-evidence-based-management-ebm-for-product-owners-maximizing-value-delivery/ Evidence-Based Management (EBM) helps product owners make better decisions by tracking key metrics like current value, unrealized value, ability to innovate, and time to market, ensuring teams focus on delivering the right value efficiently. Using EBM enables you to identify when to pivot, align stakeholders, and engage your team in the product’s success. Consider adopting EBM practices or training, such as the PAL-EBM course, to maximize value delivery and team effectiveness. https://engineering-leadership.hinshelwood.com/guides/evidence-based-portfolio-management/ Wed, 16 Dec 2020 13:11:40 +0000 https://engineering-leadership.hinshelwood.com/guides/evidence-based-portfolio-management/ Explains how evidence-based portfolio management helps organisations extend agile practices beyond teams, enabling greater responsiveness and improved business outcomes. https://engineering-leadership.hinshelwood.com/articles/announcing-professional-agile-leadership-with-evidence-based-management-training-pal-ebm-from-scrum-org/ Wed, 21 Jul 2021 14:06:00 +0000 https://engineering-leadership.hinshelwood.com/articles/announcing-professional-agile-leadership-with-evidence-based-management-training-pal-ebm-from-scrum-org/ Scrum.org is launching a new one-day Professional Agile Leadership with Evidence-Based Management (PAL-EBM) training and certification, designed to help leaders make decisions based on evidence rather than intuition. The course emphasizes creating custom metrics suited to each business context and highlights the importance of clearly communicating vision and strategic goals to all team members. Development managers should consider this training to improve alignment, measurement, and decision-making in their organizations. https://engineering-leadership.hinshelwood.com/articles/product-goal-is-an-intermediate-strategic-goal/ Mon, 21 Dec 2020 14:27:00 +0000 https://engineering-leadership.hinshelwood.com/articles/product-goal-is-an-intermediate-strategic-goal/ Product Goals serve as intermediate steps that help teams evaluate and adapt progress toward broader strategic objectives, especially in uncertain environments. Focusing on outcomes over outputs, investing in discovery through flexible team allocation, and running hypothesis-driven experiments are key to delivering real value. Development managers should shift away from traditional project management and factory-style practices, adopting a data-driven, experimental approach to stay competitive and responsive. https://engineering-leadership.hinshelwood.com/videos/evidence-based-management-the-key-to-agile-success/ Fri, 26 Jan 2024 07:00:25 +0000 https://engineering-leadership.hinshelwood.com/videos/evidence-based-management-the-key-to-agile-success/ Focusing only on agile frameworks does not guarantee business success; organizations need to use evidence-based management to track real business outcomes and adapt based on data. Successful companies transform their leadership, processes, and decision-making using key metrics like current value, unrealized value, ability to innovate, and time to market. Development managers should prioritize data-driven decisions and organizational adaptability over simply following agile practices. https://engineering-leadership.hinshelwood.com/videos/understanding-the-difference-traditional-management-vs-evidence-based-management/ Thu, 12 Sep 2024 07:00:02 +0000 https://engineering-leadership.hinshelwood.com/videos/understanding-the-difference-traditional-management-vs-evidence-based-management/ Traditional management relies on experience and authority, often leading to decisions based on intuition or hierarchy rather than data. Evidence-based management uses data collection, team analysis, and outcome validation to drive better decisions and avoid misleading metrics like story points or velocity. Development managers should shift focus from vanity metrics to meaningful data that aligns with organizational goals and encourages continuous improvement. https://engineering-leadership.hinshelwood.com/videos/unlocking-business-value-the-power-of-evidence-based-management-for-effective-leadership/ Thu, 25 Jan 2024 07:00:13 +0000 https://engineering-leadership.hinshelwood.com/videos/unlocking-business-value-the-power-of-evidence-based-management-for-effective-leadership/ Evidence-based management helps leaders make better decisions by focusing on meaningful metrics that drive real business value, such as current and unrealised value, time to market, and ability to innovate. Regularly reviewing and tailoring these metrics to your organisation enables data-driven strategies and a clear competitive advantage. Consider adopting this approach to move beyond gut feelings and ensure your team delivers measurable results. https://engineering-leadership.hinshelwood.com/videos/the-strategic-imperative-empowering-teams-with-vision-goals-and-direction/ Thu, 08 Aug 2024 06:45:00 +0000 https://engineering-leadership.hinshelwood.com/videos/the-strategic-imperative-empowering-teams-with-vision-goals-and-direction/ Many teams lack clarity on their organization’s vision, goals, and value, leading to inefficiency and misaligned efforts. To address this, leaders should clearly communicate strategic direction, empower teams with autonomy through intent-based leadership, and move beyond rigid procedures to foster engagement and continuous improvement. Ensure everyone understands how their work contributes to broader objectives so teams can make informed decisions and drive meaningful results. https://engineering-leadership.hinshelwood.com/tags/customer-focus/ Tue, 13 May 2025 09:00:00 +0100 https://engineering-leadership.hinshelwood.com/tags/customer-focus/ Customer Focus is not a platitude. It’s the first principle of agile delivery and product development. It defines value, directs investment, and constrains decisions. If you’re not anchored in real customer outcomes, you’re optimising the wrong system. This principle demands more than empathy. It demands feedback, evidence, and relentless alignment to customer need. https://engineering-leadership.hinshelwood.com/tags/lead-time/ Fri, 11 Apr 2025 06:00:00 +0100 https://engineering-leadership.hinshelwood.com/tags/lead-time/ Lead Time is an essential observability metric that quantifies the duration from the initiation of a work item to its delivery to the customer. It is a practical implementation of Cycle Time often used in flow-based systems such as Kanban. This metric provides end-to-end visibility into workflow performance, helping teams identify inefficiencies and optimise delivery for improved predictability and responsiveness. By exposing how long it takes to deliver value, Lead Time enables real-time insight into system health and team effectiveness, supporting continuous improvement across Agile, Lean, and DevOps environments. https://engineering-leadership.hinshelwood.com/tags/ability-to-innovate/ Thu, 10 Apr 2025 14:21:20 +0000 https://engineering-leadership.hinshelwood.com/tags/ability-to-innovate/ Ability to Innovate refers to an organisation’s capacity to generate, implement, and sustain innovative solutions effectively, which is essential for delivering value in a predictable and sustainable manner. This concept is rooted in the need for organisations to adapt to changing market demands and customer needs, thereby maintaining competitiveness. It encompasses various measures, such as the frequency of experiments, innovation throughput, and learning cycles, which collectively provide insight into an organisation’s innovation capabilities. By focusing on systemic growth and adaptability rather than specific methodologies, the Ability to Innovate fosters a culture that views failure as a learning opportunity, promoting psychological safety and collaboration among teams. This cultural embedding of innovation empowers teams to explore new ideas and solutions, leading to enhanced customer satisfaction and increased business agility. The emphasis on continuous improvement and experimentation ensures that innovation becomes a sustained effort rather than a sporadic occurrence, positioning it as a fundamental aspect of modern product development and organisational design. https://engineering-leadership.hinshelwood.com/tags/current-value/ Thu, 10 Apr 2025 14:21:05 +0000 https://engineering-leadership.hinshelwood.com/tags/current-value/ Current Value is a vital metric within Evidence-Based Management that quantifies the real-time value a product or service provides to its users. It includes various indicators such as customer satisfaction, revenue impact, and performance feedback, which together offer insights into the value being realised at any moment. This concept is crucial for teams striving to deliver value in a predictable and sustainable manner, as it facilitates continuous assessment and adjustment based on actual performance rather than assumptions. By tracking Current Value, organisations can make data-driven decisions that improve their offerings and better align them with customer needs. This ongoing evaluation promotes a culture of responsiveness and adaptability, allowing teams to swiftly adjust to feedback and shifting market conditions. Unlike static measures, Current Value is dynamic and systemic, reflecting the changing landscape of customer expectations and business environments. It empowers teams to concentrate on delivering meaningful outcomes, ensuring that their efforts lead to long-term success and customer loyalty. This emphasis on real-time value delivery distinguishes Current Value from other concepts such as Value Stream Management or Customer Satisfaction, which may not fully capture the immediacy and comprehensive nature of the value being generated. https://engineering-leadership.hinshelwood.com/tags/time-to-market/ Thu, 10 Apr 2025 14:20:01 +0000 https://engineering-leadership.hinshelwood.com/tags/time-to-market/ Time to Market is a critical metric that evaluates how quickly an organisation can transform ideas into market-ready products or features, incorporating various measures such as lead time and cycle time to provide a comprehensive understanding of product development efficiency. This concept is essential for organisations striving to deliver value in a predictable and sustainable manner, as a shorter Time to Market allows teams to swiftly address customer needs and adapt to market fluctuations. By prioritising Time to Market, organisations can gain a competitive advantage, ensuring that their innovations reach customers ahead of competitors. This focus on agility promotes a culture of continuous improvement, encouraging teams to refine processes and eliminate inefficiencies. The systemic nature of Time to Market impacts not only individual projects but also the overall organisational capacity for innovation and adaptability. It aligns with Lean and Agile methodologies, fostering a mindset that prioritises speed while maintaining quality. Ultimately, a strong commitment to Time to Market nurtures an environment where delivering value becomes a core organisational principle, contributing to long-term success and resilience in an ever-evolving marketplace. https://engineering-leadership.hinshelwood.com/tags/unrealised-value/ Thu, 10 Apr 2025 14:19:46 +0000 https://engineering-leadership.hinshelwood.com/tags/unrealised-value/ Unrealised Value refers to the potential value that an organisation has yet to capture, highlighting opportunities for improvement and innovation. It encompasses various indicators that assess untapped possibilities, such as latent market demand or areas ripe for enhancement. By focusing on Unrealised Value, teams can identify opportunities to optimise processes, innovate products, or better meet customer needs, ultimately leading to increased competitiveness and sustainability. This concept is crucial for enabling teams to deliver value predictably and sustainably, as it promotes a proactive approach to recognising and addressing gaps in performance and capability. Systematically measuring and analysing Unrealised Value fosters a culture of continuous improvement, motivating teams to explore new ideas and solutions. This long-term focus not only enhances current operations but also positions organisations to adapt to changing market conditions and customer expectations. Understanding Unrealised Value empowers teams to make informed decisions about resource allocation, ensuring they are strategically planning for future growth and success rather than merely reacting to immediate challenges. This perspective shifts the focus from delivering current value to actively seeking and realising potential value, which is essential for thriving in today’s dynamic business landscape. https://engineering-leadership.hinshelwood.com/tags/evidence-based-management/ Fri, 21 Mar 2025 14:44:46 +0000 https://engineering-leadership.hinshelwood.com/tags/evidence-based-management/ Evidence-Based Management (EBM) is a strategic approach designed to enhance organisational agility by providing a framework for assessing and improving value delivery. Unlike traditional frameworks or methodologies, EBM focuses on empirical data to inform decision-making, enabling organisations to move beyond superficial metrics and truly understand their performance. It centres on four critical areas: Current Value, which evaluates immediate value delivery; Time to Market, which measures responsiveness and speed; Ability to Innovate, which assesses the capacity for creating new value amidst existing challenges; and Unrealised Value, which identifies potential opportunities for growth. By utilising these metrics, leaders can make informed decisions about resource allocation and prioritisation, ultimately fostering a culture of continuous improvement. EBM is particularly valuable in the contexts of agile, DevOps, and product development, as it encourages a shift from output-focused practices to outcome-driven strategies. This empirical approach not only clarifies organisational goals but also provides the necessary feedback to adapt and evolve, ensuring that efforts are aligned with delivering real value rather than merely maintaining the status quo. In a landscape where many organisations struggle with agility, EBM offers a practical solution for those seeking to enhance their effectiveness and responsiveness in a complex and dynamic environment. https://engineering-leadership.hinshelwood.com/tags/agile-product-operating-model/ Fri, 21 Mar 2025 09:30:34 +0000 https://engineering-leadership.hinshelwood.com/tags/agile-product-operating-model/ The Agile Product Operating Model (APOM) is an operating model that integrates agile methodologies with contemporary product management principles, enabling organisations to consistently deliver value through a product-centric approach. As a specialization of the Adaptive Operating Model, APOM addresses the specific need to shift away from traditional project-based approaches, which often emphasise rigid timelines and budgets, toward continuous value delivery and responsiveness to customer feedback. This model is crucial in the context of agile, DevOps, and product development as it aligns organisational efforts around well-defined outcomes, ensuring that every product has clear boundaries, stakeholders, and measurable value. By integrating elements such as business and technology roadmaps, operational stability, and governance, APOM allows organisations to adapt swiftly to market changes while maintaining a clear connection to their strategic goals. Furthermore, it emphasises evidence-based decision-making, fostering transparency and collaboration across teams, which enhances the ability to manage and optimise product value effectively. While non-agile product operating models are possible, APOM provides the recommended approach that empowers organisations to shape their unique operating models, driving sustainable value creation in a dynamic environment. https://engineering-leadership.hinshelwood.com/tags/cycle-time/ Tue, 11 Feb 2025 10:17:24 +0000 https://engineering-leadership.hinshelwood.com/tags/cycle-time/ Cycle time is a key performance metric that measures the total duration required to complete a unit of work, from initiation to delivery. It is widely used in agile and DevOps methodologies to enhance team efficiency and predictability in value delivery. By monitoring cycle time, organisations can pinpoint bottlenecks, streamline processes, and optimise workflows, which leads to quicker product and service delivery. Understanding cycle time empowers teams to make data-driven decisions, fostering a culture of continuous improvement and enabling better forecasting and planning based on historical data. This predictability is crucial for aligning stakeholder expectations and meeting customer needs promptly. Furthermore, cycle time promotes a holistic view of value delivery, encouraging teams to consider the entire workflow rather than focusing on individual tasks. By minimising cycle time, organisations can improve their responsiveness to market dynamics and customer feedback, thereby gaining a competitive edge. In an era where rapid and sustainable value delivery is essential, the emphasis on cycle time is vital for organisational success. https://engineering-leadership.hinshelwood.com/tags/evidence-based-leadership/ Tue, 11 Feb 2025 10:17:24 +0000 https://engineering-leadership.hinshelwood.com/tags/evidence-based-leadership/ Evidence Based Leadership is a strategic methodology that leverages empirical data to guide decision-making and enhance organisational performance. Originating from the need for accountability and transparency in leadership, this approach enables leaders to make informed choices that align with both organisational goals and team requirements. By focusing on measurable outcomes and real-time feedback, leaders can discern effective practices and areas for improvement, fostering a more adaptive organisational culture. This methodology is particularly valuable in agile and DevOps environments, where the ability to respond swiftly to market changes and customer demands is critical. Evidence Based Leadership encourages continuous learning and adaptation, promoting a long-term perspective that prioritises systemic enhancements to performance and resilience. By embedding data-driven insights into leadership practices, organisations can create a culture of experimentation and innovation, empowering teams to test ideas and learn from their outcomes. This not only boosts team motivation and engagement but also ensures a stronger alignment between strategic objectives and operational execution, ultimately leading to improved results and value delivery. https://engineering-leadership.hinshelwood.com/categories/product-management/ Tue, 11 Feb 2025 10:17:24 +0000 https://engineering-leadership.hinshelwood.com/categories/product-management/ Product Management is a strategic discipline focused on aligning customer needs, business objectives, and technical feasibility to maximise value delivery in product development. Originating from Agile methodologies, particularly within the Scrum framework, the role of the Product Owner is central to this discipline, emphasising accountability for value rather than mere output. This approach is crucial in ensuring that product teams prioritise impactful features over an extensive list of functionalities, thereby avoiding the pitfalls of feature bloat. Effective Product Management operates within a social system, requiring collaboration with stakeholders, executives, and developers while continuously engaging with users to maintain a compelling product vision. The use of evidence-based management is vital, as it allows Product Managers to make informed decisions based on measurable metrics rather than vanity metrics. Customer feedback is treated as a strategic asset, necessitating discernment in its application to avoid misalignment with product goals. Additionally, technical empathy is essential for understanding the feasibility and risks associated with product strategies, ensuring that desirability, viability, and feasibility are balanced. Clear boundaries of authority and accountability are necessary for effective collaboration, with Product Managers defining the ‘what’ and ‘why’, while developers focus on the ‘how’. Ultimately, Product Management is about optimising value through informed decision-making, fostering a culture of learning, and prioritising outcomes over outputs, making it a critical function in Agile and DevOps environments. https://engineering-leadership.hinshelwood.com/tags/revenue-per-employee/ Tue, 11 Feb 2025 10:17:24 +0000 https://engineering-leadership.hinshelwood.com/tags/revenue-per-employee/ Revenue per Employee is a crucial observability metric that measures an organisation’s financial efficiency by calculating total revenue divided by the number of employees. This metric provides valuable insights into how effectively an organisation converts its workforce capacity into revenue, allowing for the analysis of systemic performance rather than focusing on individual contributions. It serves as a financial signal that facilitates empirical examination of workforce alignment, throughput, and productivity trends over time. When utilised appropriately, Revenue per Employee aids in strategic planning, identifies delivery constraints, and assesses the operational impact of organisational changes, such as the adoption of Agile methodologies or Lean transformations. By monitoring this metric over time, organisations can uncover the effects of restructuring, automation, or changes in team composition. Although it is not a diagnostic tool on its own, it plays a significant role in a broader set of delivery and business metrics, enabling leaders to evaluate the performance of their systems. This perspective positions Revenue per Employee as a lens through which to understand system health, rather than as a means of assessing individual or team accountability. https://engineering-leadership.hinshelwood.com/tags/metrics-and-learning/ Tue, 11 Feb 2025 10:16:54 +0000 https://engineering-leadership.hinshelwood.com/tags/metrics-and-learning/ Metrics and Learning is a fundamental concept that centres on the utilisation of data, metrics, and feedback to drive continuous improvement within teams and organisational processes. Originating from the need for empirical decision-making, this approach allows organisations to enhance their value delivery by systematically collecting and analysing performance metrics. By doing so, teams can pinpoint areas for enhancement, monitor their progress, and adjust their strategies in alignment with changing customer demands. The focus on learning through metrics fosters a culture of experimentation and adaptability, enabling teams to respond swiftly to feedback and pivot as necessary. This systemic approach not only facilitates immediate improvements but also lays the groundwork for sustained development and innovation. Unlike methodologies that may be prescriptive, Metrics and Learning empowers teams to take ownership of their performance, which is essential for maintaining agility in a fast-paced environment. By integrating metrics into everyday operations, organisations can establish a continuous feedback loop that informs practices and strategies, ultimately leading to more effective and resilient product development.