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Scrum

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There Is No Such Thing as a “Junior” Scrum Master

  • The concept of a 'junior' Scrum Master is considered a fallacy, as the role requires mastery in various domains and is not entry-level.
  • Scrum Masters should be experienced practitioners, born fully formed from high-performing Scrum Teams.
  • Real-world experience within Scrum Teams is crucial for effective Scrum Masters, going beyond mere certification courses.
  • Technical, business, and organizational mastery are essential for competent Scrum Masters.
  • Scrum Masters should be chosen by the team based on demonstrated competence, not imposed by management.
  • They must lead through influence, mastering technical, business, and organizational aspects for successful agility.
  • The idea of a 'junior' Scrum Master negatively impacts team effectiveness, leading to a lack of genuine leadership.
  • Hiring a Scrum Master should involve a rigorous process focusing on real-world experience and demonstrated effectiveness.
  • Scrum Masters should be able to fulfill their accountability from day one, without learning on the job.
  • The role of a Scrum Master is significant, requiring deep experience and natural emergence within the team.

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Medium

16h

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An Approach to Product Backlog Management Using Product Risk

  • This paper introduces a risk-driven approach in product backlog management using 'Product Risks' defined as chances of failure not meeting user expectations during product development.
  • By identifying, analyzing, and prioritizing product risks, teams can enhance product quality and avoid defects, merging FMECA and QFD for better traceability and risk-aware development.
  • The framework includes stakeholder identification, roadmap definition, risk collection, analysis, and mapping to functional/design characteristics using QFD.
  • The proposed methodology ensures all stakeholders are involved, risks are aligned with product features, and traceability between risks and design attributes is maintained.
  • Utilizing QFD aids in translating user needs into design considerations to address product risks effectively.
  • The approach prioritizes application traits, uncovers gaps, and guides development efforts based on identified risks and design attributes.
  • It also benefits testing teams by focusing on critical areas, providing a comprehensive test plan based on FMECA and QFD analysis.
  • The methodology enhances user satisfaction by ensuring product features are prioritized objectively and defects are actively managed.
  • The structured process enables teams to tackle potential product failures through proactive risk identification and mitigation.
  • Overall, the framework offers traceability, prioritization through deep analysis, and heightened customer satisfaction in product development.
  • The article presents a valuable approach in managing product backlogs using risk-driven methodology, improving quality, and ensuring user needs are effectively translated into design features.

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Scrum

20h

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Trust but Verify at the Sprint Review

  • Trust but verify is an important concept in maintaining transparency and trust.
  • Scrum's Sprint Review provides a way to consistently practice transparency.
  • A company spent over six months gathering requirements in a Waterfall approach without any working product.
  • Scrum's feedback loop and transparency avoid such delays in discovering lack of progress or misalignment.
  • Sprint Reviews happen at the end of each Sprint, allowing stakeholders to inspect delivered work.
  • Scrum promotes incremental delivery of usable products, reducing risk and delivering value sooner.
  • Scrum Teams collaborate, gather requirements, and deliver something usable every Sprint.
  • The Sprint Review helps discover problems immediately rather than after months of work.
  • Scrum builds trust through transparency, accountability, and incremental progress.
  • Scrum Day Madison conference hosted by Rebel Scrum offers a chance for engagement and learning.

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Scrum

21h

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Why Using a Gantt Chart in Scrum Is a Terrible Idea

  • Scrum and Gantt charts were never meant to be compatible due to their different natures.
  • Gantt charts assume certainty, while Scrum thrives in uncertainty and complexity.
  • Gantt charts promote control, but Scrum empowers self-management and creativity.
  • Gantt charts prioritize visibility, while Scrum prioritizes adaptability and agility.
  • Gantt charts encourage premature precision, while Scrum focuses on progress and value delivery.
  • Using Kanban boards, tracking throughput, and staying empirical are recommended alternatives.
  • Gantt charts are based on predictability, while Scrum focuses on adaptation and customer value.
  • For software and products requiring flexibility and feedback, abandoning Gantt charts is advised.

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Scrum

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Ethical AI for Product Owners & Product Managers

  • Product Owners and Product Managers (PO/PMs) face challenges in balancing the potential and risks of AI in product development.
  • Implementing ethical guardrails like data privacy, human value preservation, output validation, and transparent attribution is crucial.
  • Unchecked AI can lead to biased user stories, compromised data privacy, empathy erosion, and loss of stakeholder trust.
  • PO/PMs must navigate the dilemma of AI's immense potential versus critical risks, requiring structured approaches to ensure ethical AI use.
  • AI tools should be used responsibly with human oversight to validate outputs and maintain stakeholder trust.
  • Championing data privacy, preserving human value, validating AI outputs, and transparently attributing AI's role are key guardrails for ethical AI implementation.
  • PO/PMs navigate risks like bias in user stories, compromising data privacy, empathy erosion, and losing stakeholder trust when using AI unchecked.
  • Implementing guardrails like data privacy, human value preservation, output validation, and transparent attribution is essential for ethical AI practices.
  • AI output should be rigorously validated by PO/PMs to ensure alignment with the product vision and strategy.
  • Adopting ethical AI practices enhances effectiveness, future-proofs roles, and transitions PO/PMs into ethical AI leaders blending AI with human judgment.

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Medium

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The Feature Factory Strikes Back: How Output Masquerades as Progress

  • The article discusses how many teams unintentionally fall back into a 'Feature Factory' mindset, focusing on output rather than meaningful impact.
  • Teams may track deliverables with deadlines but struggle to measure real outcomes that drive value for customers and the business.
  • The 'Feature Factory' phenomenon is described as a return to old habits driven by wrong incentives, fuzzy success definitions, and a culture valuing activity over achievement.
  • The article emphasizes the importance of shifting focus towards actual impact, meaningful metrics, and continuously learning from product releases.
  • It suggests reframing success metrics around customer value, testing ideas, and interpreting insights rather than just focusing on shipping features.
  • The author advocates for a shift from simply measuring output to prioritizing learning velocity as a true sign of team progress and effectiveness.
  • It warns about the dangers of falling into the trap of being busy with activity but lacking real impact, which can lead to disengagement and a decrease in team morale.
  • The article concludes by emphasizing the continuous practice of avoiding the 'Feature Factory' mentality by focusing on delivering meaningful value and not just shipping for the sake of it.
  • The author, Paul, highlights the importance of staying curious, learning continuously, and prioritizing impact and value creation in product development.

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Medium

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The Forecast Isn’t Broken, Your Illusion of Control Is

  • Comparison between Flow and Scrum in terms of forecasting and control.
  • Flow shows what's actually happening versus a possible illusion of control provided by Scrum.
  • Scrum may offer a sense of knowing what will happen through planned sprints and backlogs.
  • However, in reality, work often deviates from the plan due to re-scoping, dependencies, and changing priorities.
  • Flow focuses on providing clarity about the system, risks, and delivery capability, rather than false certainty.
  • Flow's Monte Carlo simulations offer a probability model based on system throughput, not specific story commitments.
  • It doesn't make deterministic promises without clear prioritization.
  • The discussion about Flow vs Scrum is often about comfort and the desire for certainty without making real decisions.
  • Flow challenges the notion of control through deterministic commitments and emphasizes honesty in forecasting.
  • Instead of seeking false certainty, build trust through clarity, adaptability, and real delivery data.
  • The focus should be on honesty in decision-making rather than creating a tidy appearance on the board.

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Scrum

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Dig for Insights with Persona GPTs

  • Personas are crucial for gaining insights to serve users better in product development.
  • Understanding the scenarios, pains, and gains of users guides product decisions.
  • Creating GPTs helps in learning about users when direct communication is challenging.
  • An Airport Persona Interviewer GPT has been created based on the book 'Solving for Value'.
  • It aids in asking better questions, connecting information faster, and improving user understanding.
  • The Airport Persona Interviewer is a tool for generating realistic user personas through 'interviews'.
  • The conversations with the GPT allow for insights into user behaviors, motivations, and pain points.
  • Practicing with the Airport Persona Interviewer enhances questioning skills for persona development.
  • The process involves giving context, uploading personas and data, and engaging in dialogue with the GPT.
  • Engaging in conversations helps in creating personas that feel more alive compared to traditional static personas.
  • Using GPTs complements traditional persona sheets by providing more vivid and memorable insights.
  • The accuracy of GPT-generated personas complements real research for early-stage projects or ideation.
  • Specific prompts, deep questions, and role-playing enhance the effectiveness of engaging with the GPT.
  • GPTs like the Airport Persona Interviewer can facilitate collaborative persona building within teams.
  • While GPTs are useful, real-life user interaction and validation remain crucial in product development.

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Medium

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The Strategic Role of Objectives and Key Results (OKRs) in Modern Organizations

  • Objectives and Key Results (OKRs) are essential frameworks for aligning strategic goals with measurable outcomes in organizations, initially developed by Intel and popularized by Google.
  • OKRs promote transparency, focus, and alignment across all levels of an organization, intersecting with Quarterly Business Reviews (QBRs), Service-Level Agreements (SLAs), Experience-Level Agreements (XLAs), and individual performance goals like those of a Product Owner.
  • An OKR consists of a qualitative objective and quantitative key results, aiming to be ambitious yet achievable, transparent, and limited in number to maintain focus, with a typical quarterly cadence.
  • OKRs and QBRs work together to support organizational agility and accountability by reviewing performance metrics and adjusting efforts based on progress towards objectives.
  • Service-Level Agreements (SLAs) and Experience-Level Agreements (XLAs) set operational performance and user satisfaction standards, connected to broader business goals through OKRs.
  • OKRs play a significant role for individual roles like Product Owners (POs) in demonstrating alignment with company goals, prioritizing initiatives effectively, and measuring contributions objectively.
  • To maximize the value of OKRs, organizations should follow best practices by integrating them with high-level strategy, reinforcing business agility with QBRs, ensuring operational excellence with SLAs and XLAs, and empowering individuals like Product Owners to deliver strategic value.

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Dev

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What is an MVP in Agile development?

  • In 2025, the term MVP in Agile development has become popular among founders.
  • An MVP (Minimum Viable Product) in Agile is the simplest version of a product that solves a core user problem and can be delivered quickly for idea validation.
  • The concept aligns with Agile's principle of rapid development to learn quickly.
  • Key reasons why MVP matters in Agile include delivering working software early and collecting real feedback from users.
  • An MVP helps reduce the cost of failure and prevents over-engineering features no one wants.
  • MVP integration into Agile involves backlog grooming, sprint planning, execution, user testing, and iteration based on feedback.
  • Real-world examples of MVP success include Dropbox, Zappos, and Airbnb.
  • MVP is distinct from a prototype, focusing on delivering value and testing user problems.
  • Tools like no-code platforms and design systems aid in fast MVP development.
  • MVP in Agile is not just a development tactic but a mindset revolving around hypothesis testing of user problems.
  • Startup founders are advised to utilize MVP development services to accelerate their product launch.

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Scrum

13h

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What Is Agile Transformation—And Why It Matters Now More Than Ever

  • Agility is crucial for success in today's uncertain business environment.
  • Agile Transformation goes beyond changing how teams work to transforming how businesses think and respond to change.
  • It empowers teams, removes bottlenecks, and focuses on delivering value incrementally.
  • Agile differs from traditional project management by embracing change and collaboration.
  • Agile Transformation is distinct from Digital Transformation, focusing on adaptability rather than just technology integration.
  • Adoption of Agile practices is different from a complete Agile Transformation, which involves changes across the entire organization.
  • Companies pursue Agile Transformation to improve speed, focus, and customer-centricity.
  • Agile organizations are structured with smaller, cross-functional teams and decentralized decision-making.
  • Successful Agile Transformation requires committed leadership, change management, continuous learning, and adaptability.
  • Agile Transformation success is measured by the organization's ability to respond to change, deliver value continuously, and learn faster.
  • Across various industries, Agile Transformation is reshaping how businesses operate, leading to improved customer service and collaboration.

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17 Likes

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Dev

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From Gantt Charts to Agile Sprints: Adapting Maritime Project Rigor to Software Delivery

  • The article discusses lessons learned from maritime project management and their application to Agile software delivery.
  • Lessons include adapting plans, integrating risk management, prioritizing testing, and balancing velocity with vision.
  • The importance of clear accountability, aligning decisions with core values, and blending project rigors with Agile flexibility is highlighted.
  • The author emphasizes the need for responsiveness, accountability, and continuous improvement in project management.

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Scrum-Master-Toolbox

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BONUS: Never Stop Experimenting—Building a Culture of Continuous Discovery with Stavros Stavru

  • Stavros Stavru shares insights on continuous experimentation and his book 'Never Stop Experimenting.'
  • Teams face the exploration-exploitation dilemma in modern times.
  • Stavru emphasizes the importance of maintaining an experimental approach amidst delivery pressures.
  • The book 'Never Stop Experimenting' is based on a decade of practical experience.
  • Viewing software development as incremental experiments is crucial for innovation.
  • The 'Fatware Matrix' helps Product Managers reduce software bloat by removing unnecessary features.
  • The NSE Ratio guides teams in optimizing their experimentation rhythm.
  • Building a safe-to-fail culture involves leaders sharing their failures openly.
  • Stavru is a Ph.D. in Organizational Transformations and author of 'Never Stop Experimenting.'
  • He is a leading voice in Agile coaching, leadership, and soft skills.

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18 Likes

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Medium

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Breaking the Two-Week Sprint Habit: Why Shorter Iterations Drive Better Results

  • Many technology organizations operate on two-week sprint cycles, which have become standard but may not be optimal for productivity, customer feedback, and competitive advantage.
  • Comfort and predictability in software development can lead to complacency and inefficiency.
  • The real question is whether two-week sprints are optimal for a team's goals.
  • Evidence suggests that shorter sprint iterations could lead to better outcomes.
  • IT leaders need to challenge assumptions about sprint length and consider if shorter iterations could be more effective.
  • The Scrum framework allows sprints of one month or less, yet many organizations stick to two-week cycles without questioning their efficiency.
  • The prevalence of two-week sprints is more due to convenience rather than rigorous analysis.
  • Early Agile adopters found two-week sprints balanced planning overhead and project needs.
  • Reevaluating sprint length can lead to improved results.
  • Shorter iterations could enhance productivity, feedback loops, and competitiveness for teams.
  • It's essential for organizations to analyze whether two-week sprints are the best fit for their objectives.
  • Challenging the status quo on sprint length can help drive better outcomes in software development.
  • The article emphasizes the importance of examining and potentially changing the frequency of sprint cycles.
  • Adopting shorter sprint iterations may offer advantages in efficiency and results.
  • IT leaders should consider whether adjusting sprint length could lead to enhanced performance and success.
  • Breaking away from the comfort of two-week sprints could potentially drive improved results and innovation.

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Alvinashcraft

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Dew Drop – June 20, 2025 (#4444)

  • 16 billion passwords exposed in record-breaking data breach, opening access to Facebook, Google, Apple, and any other service imaginable (Vilius Petkauskas & Jurgita Lapienytė)
  • Announcing Warp Preview (Hong Yi Chen)
  • GIF export in Snipping Tool begins rolling out to Windows Insiders (Dave Grochocki)
  • Copilot Compared: Advanced AI Features in Visual Studio 2022 vs. VS Code (David Ramel)
  • Fine-Tuning LLMs with C#: A Practical Guide to Customizing Models with ML.NET and Introduction to Semantic Kernel: The .NET Developer’s Guide to Building Powerful AI Agents (Sudhir Mangla)
  • Best practices for administering GitHub Copilot with Luis Pujols | Beyond the Commit (GitHub Team)
  • Mastering iOS Development: Your Essential Resource List (Coder)
  • Strengthen mobile device security with Edge for Business, the secure enterprise browser (Patrick Brosset)
  • SQL Server 2025: Secure by Default | Data Exposed (Anna Hoffman, Pratim Dasgupta & Pieter Vanhove)
  • freeCodeCamp Podcast #176 – From Therapist to six figure freelance dev (Beau Carnes)

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