Operational Practices encompass the techniques and strategies that organisations employ to enhance their operational efficiency and delivery capabilities. These practices are essential for fostering a culture of continuous improvement, enabling teams to respond swiftly to changing demands while maintaining high-quality outputs. By integrating methodologies such as Lean, Agile, and DevOps, organisations can streamline workflows, reduce waste, and optimise resource allocation.
The significance of Operational Practices lies in their ability to create a predictable and sustainable environment for value delivery. They empower teams to establish clear processes, enhance collaboration, and leverage data-driven decision-making, which collectively contribute to improved performance and customer satisfaction. This long-term, systemic approach ensures that operational improvements are not merely reactive but are embedded within the organisational culture, promoting resilience and adaptability.
Operational Practices also facilitate the alignment of team efforts with strategic goals, ensuring that every action taken contributes to the overarching mission of the organisation. By focusing on these practices, teams can cultivate an environment where innovation thrives, and value is consistently delivered, ultimately leading to a more agile and responsive organisation that can navigate the complexities of modern product development and market dynamics.
The strongest work on Operational Practices — ranked by substance, not recency. How this is ranked
Engineering as a Leadership System: Moving Beyond Frameworks
Delivery outcomes are shaped less by frameworks and practices than by the operating model leaders have designed. How an organisation's …
Why Most Companies Operating Models Fail in Dynamic Markets
A concise comparison of Predictive and Adaptive Operating Models, explaining why traditional structures fail in dynamic markets and how …
One Azure DevOps Project for 1,500 People Is Not the Risky Option
Compare the coordination costs of separate Azure DevOps Projects with the governance a shared Project requires, using actual dependencies …
Telling People What to Do Is Not Leadership. It’s a Failure of System Design
Explores why real leadership means designing systems that enable team autonomy, flow, and accountability, rather than relying on …
The AI Decided Is Not an Explanation
When an AI says it got bored or we say it lied, we give a machine feelings and intentions. The false output needs an explanation, not an …
AI Agents Lie About Being Done
My agent reported every task complete when half the tests were missing. Call that a lie if you like. The engineering problem is that the …
Don’t Manage Dependencies, Remove Them
Explains why dependencies are a sign of poor system design and outlines steps to eliminate them by aligning teams, clarifying ownership, and …
The Estimation Trap: How Tracking Accuracy Undermines Trust, Flow, and Value in Software Delivery
Tracking estimation accuracy in software delivery leads to mistrust, fear, and distorted behaviours. Focus on customer value, flow, and …
Is Agile Really Just a Mindset?
Explores Agile as a disciplined system of delivery, emphasizing engineering excellence, CI/CD, observability, and system design over mindset …
Engineering as a Leadership System: Moving Beyond Frameworks
Delivery outcomes are shaped less by frameworks and practices than by the operating model leaders have designed. How an organisation's …
Why Most Companies Operating Models Fail in Dynamic Markets
A concise comparison of Predictive and Adaptive Operating Models, explaining why traditional structures fail in dynamic markets and how …
One Azure DevOps Project for 1,500 People Is Not the Risky Option
Compare the coordination costs of separate Azure DevOps Projects with the governance a shared Project requires, using actual dependencies …
AI Guardrails Are Just Polite Requests
Written rules influence an AI agent, but do not enforce compliance. My agent records and build failures show why independent checks matter, …
The AI Decided Is Not an Explanation
When an AI says it got bored or we say it lied, we give a machine feelings and intentions. The false output needs an explanation, not an …
AI Agents Lie About Being Done
My agent reported every task complete when half the tests were missing. Call that a lie if you like. The engineering problem is that the …
How My Father's Business Reverted to the Mean
My father died eight years ago today. In 1980 a leadership team's golf retreat left him holding a ten-year lease on a Glasgow shopfront, so …
Don’t Manage Dependencies, Remove Them
Explains why dependencies are a sign of poor system design and outlines steps to eliminate them by aligning teams, clarifying ownership, and …
The Estimation Trap: How Tracking Accuracy Undermines Trust, Flow, and Value in Software Delivery
Tracking estimation accuracy in software delivery leads to mistrust, fear, and distorted behaviours. Focus on customer value, flow, and …
From Legacy Pain to Modern DevOps: My Proven Roadmap for Real Engineering Transformation
Transform legacy engineering with a proven, step-by-step approach, learn how to automate, adapt, and build a resilient, modern DevOps …
Engineering Excellence Isn’t Perfection: How Continuous Improvement and Fast Feedback Drive Real Agile and DevOps Success
Engineering excellence isn’t perfection, it’s continuous improvement, clean code, and fast feedback. Unlock true agility with modern Agile …
Stop Testing Quality In: How Shifting Left Builds Better Software, Faster
Stop testing quality in, start building it in. Learn how shifting left, automation, and fast feedback loops drive engineering excellence in …
Why Big Bang Rewrites Fail: How Sustainable Change and Engineering Excellence Transform Legacy Systems
Ditch the Big Bang rewrite. Discover why sustainable, in-place change drives true engineering excellence and lasting transformation in your …
Stop Guessing: How to Make Work Visible and Drive Real Improvement with Azure DevOps Flow Metrics
Stop guessing, start making data-driven decisions in Azure DevOps. Discover tools, tips, and insights to make your work visible and your …
Unlocking Engineering Excellence: How Azure DevOps Transforms Traceability, Transparency, and the Developer Experience
Unlock engineering excellence with Azure DevOps, boost traceability, transparency, and developer experience for agile, high-performing …
Why Your Definition of Done Is the Secret Weapon Your Team Needs to Win
Unlock your team's true potential, discover why a powerful definition of done drives real business impact, customer value, and lasting …
Legacy Systems Aren’t the Enemy, Friction Is: How to Unblock Innovation and Accelerate Agile Delivery
Is legacy tech slowing your team? Discover how removing friction unlocks agility, innovation, and faster delivery in your organisation.
Why Your Definition of “Done” Is Holding Back Quality, Agility, and Trust, And How to Raise the Bar
Is your team’s “done” really done? Discover how a clear, objective definition of done boosts quality, agility, and trust in product …
Building a Resilient Token Server: Engineering for Flow, Fault Tolerance, and Speed
Explains how to engineer a robust, fault-tolerant token counting server using FastAPI and PowerShell, covering error handling, retries, …
Convert Legacy Projects and ASP.NET MVC Apps to SDK-Style with Confidence
Learn how to upgrade legacy .NET and ASP.NET MVC projects to SDK-style for easier builds, modern tooling, and future readiness, including …
Kanban Guide
Comprehensive reference outlining Kanban principles, practices, and metrics for optimising workflow, value delivery, and continuous …
Detecting Agile BS
Guidance for identifying genuine agile software development in DoD projects, including key principles, warning signs, essential tools, and …
Kanban Guide for Scrum Teams
Explains how Scrum Teams can use Kanban practices to optimise workflow, track flow metrics, and enhance transparency, efficiency, and …
OKR Guide - A Social Discipline for Shared Focus, Measurable Contribution, and Strategic Learning
Comprehensive guide to using OKRs for shared focus, measurable outcomes, and strategic learning, including roles, events, best practices, …
The Evidence-Based Management Guide 2020: Improving Value Delivery under Conditions of Uncertainty
Evidence-Based Management (EBM) guides organisations to improve value delivery under uncertainty by using empirical goals, measurement, and …
255 resources, newest first
The Sprint is a container for Planning and not necessarily for Delivery
Explains how Scrum Sprints are primarily for planning, not fixed delivery, and discusses aligning delivery schedules, continuous deployment, …
Upgrading from TFS 2008 and WSS v3.0 with SfTSv2 to TFS 2010 and SF 2010 with SfTSv3
Step-by-step guide to upgrading TFS 2008 and WSS v3.0 with SfTSv2 to TFS 2010 and SharePoint 2010, including process template migration and …
Professional Scrum Developer (.NET) Training in London
Intensive five-day course for software developers covering Scrum, Visual Studio 2010, .NET, and Agile practices through hands-on team …
Guidance: A Branching strategy for Scrum Teams
Explains an effective branching strategy for Scrum teams, covering best practices, common pitfalls, and step-by-step guidance for managing …
When should I use Areas in TFS instead of Team Projects in Team Foundation Server 2010
Explains when to use Areas versus Team Projects in TFS 2010, comparing benefits, drawbacks, and best practices for managing multiple …