menu
techminis

A naukri.com initiative

google-web-stories
Home

>

Agile Methodology News

Agile Methodology News

source image

Microsoft

1d

read

239

img
dot

Image Credit: Microsoft

Azure Boards + GitHub: Recent Updates

  • Smarter Link Management for Branches, PRs, and Commits: Azure Boards now automatically links merge commits and pull requests to associated work items, reducing the need for manual linking.
  • Build Status from GitHub Repos (YAML Pipelines): Azure Boards displays the Integrated in build link from GitHub repositories when using Azure YAML pipelines, improving traceability from code to deployment.
  • Increased GitHub Repository Limit: Azure DevOps project now supports connecting up to 1,000 GitHub repositories, providing better scalability for organizations.
  • State Transition Support: Linking GitHub pull requests to Azure Boards work items now supports state transitions, allowing automatic updates of work item states on merge.

Read Full Article

like

14 Likes

source image

Medium

2d

read

92

img
dot

Image Credit: Medium

How to Say “It Depends” with Data.

  • Analyzing backlog volatility and coherence is crucial for informed decision-making and effective communication with stakeholders.
  • Backlog size can mask volatility, affecting correlation scores interpretation. Analyzing subsets is recommended.
  • High Spearman’s ρ or Kendall’s τ scores indicate stable priorities, while low scores signify drastic shifts.
  • Stakeholders' changing demands play a significant role in prioritizing backlog items and influencing predictability.
  • Transparency about backlog volatility is essential for managing expectations and communicating effectively.
  • Forecasting delivery timelines requires considering both past performance and current backlog volatility.
  • Prioritizing honesty and transparency when priorities shift drastically is key to maintaining stakeholder trust.
  • Data-driven insights enable more confident conversations with stakeholders, emphasizing the importance of context.
  • Using data without understanding the context can be misleading and unprofessional, emphasizing the need for ethical data usage.
  • Pairing data with contextual understanding and effective communication is essential for leveraging its power in decision-making.

Read Full Article

like

5 Likes

source image

Medium

19h

read

237

img
dot

Image Credit: Medium

Lost in Translation: How a Primary School Math Problem Revealed the Hidden Complexity of Tech…

  • Language is inherently imprecise, as demonstrated by a primary school math problem that revealed the difference between '2 times more than' and '2 times as many'.
  • Expertise can create blind spots, where years of formal training prevent individuals from understanding how certain phrases function in everyday language.
  • Translation gaps between human intention and machine execution can lead to semantic breakdowns, causing project failures in technology.
  • Improving translation capabilities in technology work involves restating requirements, establishing precise definitions, using multiple representations, considering different perspectives, and creating processes to resolve ambiguities.

Read Full Article

like

14 Likes

source image

Medium

1d

read

99

img
dot

Image Credit: Medium

The Heart of Scrum: Understanding the Product Backlog

  • The Product Backlog is a dynamic and prioritized inventory of everything needed in the product.
  • It includes features, ideas, enhancements, technical tasks, bug fixes, and other necessary items.
  • The Product Owner is responsible for managing the Product Backlog, with collaboration from the Scrum Team and stakeholders.
  • The Product Backlog is a living document that evolves as the understanding of the product and market increases.

Read Full Article

like

6 Likes

source image

Medium

1d

read

176

img
dot

Image Credit: Medium

Keep Your Scrum Backlog Sharp: The Power of Backlog Refinement

  • Backlog Refinement, also known as Backlog Grooming, is a continuous process in Scrum where the team reviews, revises, and prioritizes items within the Product Backlog.
  • Neglecting Backlog Refinement can lead to inefficiencies and delays within a Scrum Team.
  • It helps keep the Backlog organized, relevant, and distinguish high-priority items from less critical ones.
  • Backlog Refinement ensures items are well-defined, have clear acceptance criteria, and are ready for Sprint Planning.
  • A well-refined backlog enhances Sprint Planning efficiency by focusing on work discussions rather than clarifications.
  • Backlog Refinement involves the Product Owner and Development Team collaborating to review items regularly.
  • New items based on stakeholder input are added during refinement sessions, enhancing the Product Backlog.
  • Large items (Epics) are broken down into smaller User Stories during Backlog Refinement for incremental delivery.
  • Backlog Refinement ensures a valuable, organized Product Backlog for efficient Sprint Planning and focus on delivering value.
  • Consistent Backlog Refinement can enhance Scrum Team efficiency and maintain a smoothly running Scrum engine.

Read Full Article

like

10 Likes

source image

Medium

1d

read

115

img
dot

Image Credit: Medium

Unlock Efficiency: Why Timeboxing is Essential in Scrum

  • Timeboxing is a practice of setting a fixed, maximum duration for an activity or event in Scrum.
  • Timeboxing encourages focus and efficiency by prioritizing important topics within the allocated time.
  • It prevents scope creep by acting as a natural boundary for discussions, tasks, and meeting agendas.
  • Timeboxing fosters regular reflection and improvement by ensuring dedicated time for activities like the Sprint Retrospective.

Read Full Article

like

6 Likes

source image

Scrum-Master-Toolbox

2d

read

311

img
dot

Richard Brenner: Hypothesis-Driven Product Ownership, The Experimental Mindset

  • Great Product Owners are described as 'experimenters' who understand that everything they do is a hypothesis requiring validation.
  • They establish feedback loops early, actively engage with users and clients, and approach product development with a scientific mindset.
  • The relationship between Product Owner and team must be a true partnership for success to occur.
  • A cautionary example is given of a technically knowledgeable Product Owner who had concrete ideas about the technology and solution, but failed to validate user needs and experienced UX issues.

Read Full Article

like

18 Likes

source image

Scrum

2d

read

168

img
dot

Image Credit: Scrum

Scrum Feels Broken? Maybe You Missed the Theory...

  • Scrum is built on proven theories, including Empiricism and Lean Thinking, that explain how work gets done to solve complex problems.
  • Empiricism in Scrum enables teams to navigate complexity through transparency, inspection, and adaptation, emphasizing learning as you go and delivering better results.
  • Lean Thinking in Scrum focuses on maximizing value and minimizing waste, stripping away unnecessary overhead and promoting faster flow of value.
  • Teams often misuse Scrum by only going through the motions and not understanding the theories it's based on, which leads to the feeling that 'Scrum isn't working.'

Read Full Article

like

10 Likes

source image

Medium

2d

read

3

img
dot

Image Credit: Medium

Rule Number Six: Simple Processes Do Help

  • Adapting SCRUM to fit the team's needs can bring order and peace.
  • Implementing regular stand-up meetings and communication channels improves synchronization and productivity.
  • Flexible refinement sessions focus on analyzing business context and user interaction.
  • Demos, retrospectives, and team games foster pride and consistency in the team.

Read Full Article

like

Like

source image

Scrum

2d

read

288

img
dot

Image Credit: Scrum

The Augmented Product Owner: Amplifying Scrum with AI

  • Artificial Intelligence (AI) is reshaping how product managers work, offering increased efficiency, better decision-making, and faster innovation across the product lifecycle.
  • AI tools aid in ideation by identifying unmet customer needs and generating novel product concepts using trend analysis and natural language processing.
  • In strategy and market research, AI provides data-driven insights, segmenting markets, forecasting demand patterns, and analyzing competitor strategies.
  • AI enhances product backlog creation through prioritization, efficiency improvements, identification of dependencies, and strategic alignment.
  • Dynamic planning with AI in roadmaps allows for continuous adjustment based on market conditions, optimizing timelines, and managing risks.
  • Customization through AI's Model Context Protocol transforms product development, allowing tailored experiences without excessive engineering overhead.
  • AI changes the approach to technical debt, enabling faster regeneration of features and reducing maintenance costs through rapid code generation.
  • AI accelerates development by generating UI mockups, code snippets, and automated testing frameworks, improving velocity and quality.
  • AI aids in defining the right Minimum Viable Product (MVP) through user needs analysis, rapid prototyping, and early delivery of valuable software.
  • AI optimizes A/B testing, accelerating the learning cycle by designing effective test variations and automating the rollout of winning versions.

Read Full Article

like

17 Likes

source image

Scrum-Master-Toolbox

3d

read

11

img
dot

Richard Brenner: Contracting for Success,  Establishing Clear Agile Coaching Outcomes

  • Richard Brenner reflects on the importance of establishing clear agile coaching outcomes.
  • He advocates for creating a coaching agreement with management and teams to define success for the coach.
  • Dual-sided accountability is emphasized as a natural outcome of proper contracting, using relevant metrics.
  • Richard recommends the Solution Focused Retrospective as a format for positive, forward-thinking team discussions.

Read Full Article

like

Like

source image

Medium

3d

read

318

img
dot

Image Credit: Medium

The Sprint Retrospective: Your Engine for Continuous Improvement in Scrum

  • The Sprint Retrospective is a recurring Scrum event held at the end of each Sprint.
  • The primary purpose of the Sprint Retrospective is for the Scrum Team to inspect itself and create a plan for improvements to be enacted during the next Sprint.
  • The key participants in the Sprint Retrospective are the entire Scrum Team, including the Scrum Master, Product Owner, and the Development Team.
  • The main outcome of the Sprint Retrospective is a set of concrete actions for improvement that the team will focus on in the following Sprint.

Read Full Article

like

19 Likes

source image

Medium

3d

read

83

img
dot

Image Credit: Medium

The Sprint Review: Your Key to Gathering Meaningful Feedback in Scrum

  • The Sprint Review is a collaborative meeting held at the conclusion of each Sprint, where the Scrum Team showcases the work completed and seeks feedback from stakeholders.
  • The primary purposes of the Sprint Review are to gather feedback, receive insights, and make adjustments to priorities for future Sprints.
  • The Sprint Review has a structured agenda, including showcasing the completed Increment and gathering insights from stakeholders.
  • Based on the feedback received, the Product Owner updates the Product Backlog to reflect new information and priorities.

Read Full Article

like

5 Likes

source image

Medium

3d

read

288

img
dot

Image Credit: Medium

Engineering at scale: How business context shapes our development squads

  • The e-commerce boom during the pandemic led to the expansion of the development team.
  • A Scrum-inspired framework was adopted to effectively organize day-to-day work.
  • The tech department now includes nine development squads focused on specific systems and products.
  • The Product Management department acts as professional interpreters to decode needs for the tech team.

Read Full Article

like

17 Likes

source image

Scrum

3d

read

345

img
dot

Image Credit: Scrum

Exercising Business Agility in Construction & Infrastructure: 5 Key Learnings

  • The article discusses the importance of business agility in the Construction & Infrastructure (C&I) industry, focusing on key learnings.
  • Safety is emphasized as a critical priority in the C&I sector, with a strong focus on preventing fatalities and injuries.
  • Transparency is highlighted as essential for trust, effective decision-making, and preventing fragility in large-scale projects.
  • End-to-end accountability is advocated to ensure coherence and efficiency across all project phases from planning to execution.
  • Lean Portfolio Management is recommended to manage multiple projects, align efforts with capacity, and prioritize value delivery.
  • The importance of milestone planning that enables flow and value realization is stressed to improve project outcomes.
  • Lessons from past C&I project failures underscore the necessity of clarity, collaboration, and systemic thinking.
  • Business agility is presented as a crucial factor for success in the C&I sector, offering a competitive edge in a complex and high-stakes industry.
  • The article encourages starting with small changes, involving all stakeholders, and learning from previous failures to achieve true business agility.
  • It emphasizes the continuous learning and adaptation required in the C&I sector to thrive in a rapidly changing world.
  • Ultimately, the article underscores the urgency of adopting business agility as an operating model for long-term success in Construction & Infrastructure.

Read Full Article

like

20 Likes

For uninterrupted reading, download the app