Zacharias Beckman’s Post

Did you miss the latest on COE...? A deep dive into Value Stream Engineering... FOR THE ENGINEER. Value stream engineering is all about building a clear “line of sight” directly from what your customer prioritizes to every single action you take on a project. It's also about preventing delivery problems before they happen. A well-informed team will always know precisely what their customer prizes most, how much impact a feature actually delivers, and if that feature represents a sustainable business proposition. This is a practical guide, a method with step-by-step instructions, for applying value stream engineering. In this two-part article, I want to break down any barriers to understanding VSE. I’ll show how value stream engineering makes a difference in your day-to-day work. A difference that will ultimately mean better software, faster time to market, less rework, and a delighted customer. #VSE #ValueStreamEngineering #DSO #DesignThinking

Value stream engineering is all about building a clear “line of sight” directly from what your customer prioritizes to every single action you take on a project. A well-informed team will always know precisely what their customer prizes most, how much impact a feature actually delivers, and if that feature represents a sustainable business proposition. This is a practical guide, a method with step-by-step instructions, for applying value stream engineering. In this two-part article, I want to break down any barriers to understanding VSE. I’ll show how value stream engineering makes a difference in your day-to-day work. A difference that will ultimately mean better software, faster time to market, less rework, and a delighted customer. #VSE #ValueStreamEngineering #DSO #DesignThinking #SoftwareArchitecture

Value stream engineering is all about building a clear “line of sight” directly from what your customer prioritizes to every single action you take on a project. A well-informed team will always know precisely what their customer prizes most, how much impact a feature actually delivers, and if that feature represents a sustainable business proposition. This is a practical guide, a method with step-by-step instructions, for applying value stream engineering. In this two-part article, I want to break down any barriers to understanding VSE. I’ll show how value stream engineering makes a difference in your day-to-day work. A difference that will ultimately mean better software, faster time to market, less rework, and a delighted customer. #VSE #ValueStreamEngineering #DSO #DesignThinking #SoftwareArchitecture

Value stream engineering is all about building a clear “line of sight” directly from what your customer prioritizes to every single action you take on a project. A well-informed team will always know precisely what their customer prizes most, how much impact a feature actually delivers, and if that feature represents a sustainable business proposition. This is a practical guide, a method with step-by-step instructions, for applying value stream engineering. In this two-part article, I want to break down any barriers to understanding VSE. I’ll show how value stream engineering makes a difference in your day-to-day work. A difference that will ultimately mean better software, faster time to market, less rework, and a delighted customer.

Are you translating R&D costs into business outcomes? Prove your impact on the bottom line by: – Aligning resource allocation to business needs  – Translating engineering output into effort and cost – Focusing on new value creation and revenue-generating activities Here’s how you can leverage LinearB to achieve profitable engineering: 𝐃𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭: Communicate the impact of new requests by connecting them to budget, resourcing and projects. 𝐒𝐭𝐫𝐢𝐤𝐞 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐛𝐚𝐥𝐚𝐧𝐜𝐞: Gain a holistic understanding of where effort is being invested and where you can reallocate resources to increase new value creation. 𝐒𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭𝐥𝐲: Gain insight into every step of your SDLC. Find friction points and build an improvement strategy for your team. 𝐁𝐨𝐨𝐬𝐭 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦’𝐬 𝐨𝐮𝐭𝐩𝐮𝐭: Use data and insights to increase the velocity of your code throughput. Unblock the workflow bottlenecks that slow your team down. 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: Improve the health of your engineering organization. Set goals with full visibility into the leading indicators of team performance. 𝐑𝐞𝐝𝐮𝐜𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐭𝐨𝐢𝐥: Eliminate tedious tasks with one-click workflows and automated pull request routing. 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐦𝐞𝐫𝐠𝐞 𝐟𝐫𝐞𝐪𝐮𝐞𝐧𝐜𝐲: Find the right reviewer, auto approve safe changes, and minimize the cognitive load of the merge process to build smooth delivery paths. The result? Shorter cycles and more value delivered faster. 𝐒𝐞𝐞 𝐡𝐨𝐰 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐚𝐫𝐞 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬𝐢𝐧𝐠: Keep priority projects on track with visibility into planning and capacity metrics, delivery cadences and progress against deadlines. 𝐌𝐢𝐭𝐢𝐠𝐚𝐭𝐞 𝐫𝐢𝐬𝐤𝐬 𝐩𝐫𝐨𝐚𝐜𝐭𝐢𝐯𝐞𝐥𝐲: Identify project risks before they become a problem using automated insights into delivery risk, resource management issues and project best practices Learn more about profitable engineering on the page linked below 👇 #ROI #SoftwareEngineeringIntelligence #Automation

🔍 Dive into the world of Reliability Models and Metrics for Test Engineering with me! 🛠️ Discover how these tools help identify weak spots, anticipate failures, and elevate product quality. Check out this insightful article to learn more: https://lnkd.in/enknisD7 #ReliabilityModels #TestEngineering #SoftwareTesting #ProductQuality #TechInsights 🚀

Out of the four DORA metrics, there is one that stands out. It's the 𝘓𝘦𝘢𝘥 𝘛𝘪𝘮𝘦 𝘧𝘰𝘳 𝘊𝘩𝘢𝘯𝘨𝘦𝘴 — more commonly known today as 𝗖𝘆𝗰𝗹𝗲 𝗧𝗶𝗺𝗲. Here's why Cycle Time, today, is the rockstar of engineering metrics: 1) 🎯 𝗖𝗬𝗖𝗟𝗘 𝗧𝗜𝗠𝗘 𝗩𝗦 𝗟𝗘𝗔𝗗 𝗧𝗜𝗠𝗘 Cycle Time is a subset of the overall 𝘓𝘦𝘢𝘥 𝘛𝘪𝘮𝘦. Lead Time includes analysis and design, whose duration can vary based on the initiative. Once broken into deliverables, though, the delivery process should follow short, predictable cycles — hence the Cycle Time. 2) 🏅 𝗪𝗛𝗬 𝗖𝗬𝗖𝗟𝗘 𝗧𝗜𝗠𝗘 𝗠𝗔𝗧𝗧𝗘𝗥𝗦 Cycle Time has all the hallmarks of a great KPI: ↳ Objective — 𝘯𝘰 𝘤𝘰𝘯𝘵𝘦𝘹𝘵 𝘯𝘦𝘦𝘥𝘦𝘥 𝘧𝘰𝘳 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵𝘢𝘵𝘪𝘰𝘯 ↳ Easy to understand — 𝘴𝘪𝘮𝘪𝘭𝘢𝘳 𝘵𝘰 𝘴𝘢𝘭𝘦𝘴 𝘤𝘺𝘤𝘭𝘦 𝘢𝘯𝘥 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘧𝘶𝘯𝘯𝘦𝘭 𝘮𝘦𝘵𝘳𝘪𝘤𝘴 ↳ Scalable — 𝘳𝘦𝘮𝘢𝘪𝘯𝘴 𝘳𝘦𝘭𝘦𝘷𝘢𝘯𝘵 𝘳𝘦𝘨𝘢𝘳𝘥𝘭𝘦𝘴𝘴 𝘰𝘧 𝘵𝘦𝘢𝘮 𝘴𝘪𝘻𝘦 ↳ Actionable — 𝘴𝘪𝘨𝘯𝘪𝘧𝘪𝘤𝘢𝘯𝘵 𝘤𝘩𝘢𝘯𝘨𝘦𝘴 𝘱𝘰𝘪𝘯𝘵 𝘵𝘰 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤, 𝘳𝘦𝘴𝘰𝘭𝘷𝘢𝘣𝘭𝘦 𝘪𝘴𝘴𝘶𝘦𝘴 3) 🎯 𝗪𝗛𝗔𝗧 𝗧𝗢 𝗔𝗜𝗠 𝗙𝗢𝗥 A healthy Cycle Time in real-world scenarios is anything within a few days. Further improvements are fine, but striving for sub-day cycles brings diminishing returns. Breaking down work in small batches is important, but there is kind of an optimal batch size — under which you are only pedaling faster, without delivering more value. So it’s ok to optimize Cycle Time, but I wouldn’t obsess on getting it down to hours. —— 📬 I wrote a full (free!) article about using engineering metrics in your org: https://lnkd.in/dNaeHTr3 ♻️ If you found value in these insights, please consider reposting it! It means a lot to me

Don't miss these top tips for helping your organization adopt various performance engineering processes and practices. https://ter.li/rfskzd #performancetesting #performanceengineering #continuoustesting

A "digital thread" is a term that emerged in the late 2010s as concept within product lifecycle management, but it's not magic. Various tools and techniques contribute behind the scenes and Model-Based Systems Engineering (MBSE) is one of them. How does MBSE contribute to the digital thread? - Shared Language: Imagine everyone involved in the product lifecycle speaking the same language. An MBSE approach that establishes a standardised schema early in the lifecycle is the perfect starting point for information throughout the digital thread. The schema works like a common dictionary for representing requirements, design details, and interfaces. This ensures everyone interprets data consistently. - From Design to Reality: MBSE acts as a bridge between the initial concept and the final designed product. The system model can be used to generate specialist design artefacts and models. This strengthens the digital thread by ensuring consistency between the business vision and the finished product. - A Foundation for the Future: The rich data within the MBSE model lays the groundwork for a digital twin, a virtual representation of the physical product. This digital twin evolves alongside the physical product, and the MBSE model provides the initial data for this continuous data exchange. While we think MBSE plays a significant role, it's just one piece of the puzzle. By working together, various tools and techniques can create a robust digital thread, ultimately leading to successful product development. How do you see MBSE as part of a digital thread?

Make Quality Engineering the cornerstone of your digital transformation strategy 💻 ✅ In this blog post, we explore why Quality Engineering is critical for the success of your digital transformation projects and how it can help businesses achieve their goals faster and more efficiently. https://buff.ly/47jnlE9 If you'd like to discuss how Roq can support you with your digital transformation projects, please reach out to a member of the team - [email protected] #QualityEngineering #DigitalTransformation #QE #Quality #Technology #IT #Roq #LikeNoOther