Agile Software Development Cycles

Mukta, can you handle this release all by yourself? My manager asked. I took a deep breath and said, Okay, Yes, I’ll do it. This wasn’t just about getting the release out — it was about owning the entire cycle in an Agile/Scrum setup. Here's what it really looked like to me when I started working on it: Analyzing incomplete or ambiguous user stories — had to go back to the PO and stakeholders several times to clarify acceptance criteria Estimating story points with the team, balancing technical effort with business expectations but focusing more on qa efforts. Daily or when required, syncs with developers to unblock issues, prioritize bugs, and adjust scope as needed Managing cross-functional discussions — sometimes it was the PO, other times it was UX or even the solution architect when flows weren’t aligned,things weren't proper. Coordinating bug fixes and regression testing- under tight deadlines, especially when defects came late in the sprint Chasing last-minute changes— scope creep happens even when it's not supposed to, and I had to push back while staying collaborative Juggling between QA ownership and Scrum responsibilities— attending all ceremonies, tracking progress on the board, and ensuring nothing slipped through It was hectic. Not everything went smoothly. But I learned more from this one release than from several previous sprints combined. Key takeaways: Don’t assume stories are ready just because they’re in the backlog — deep dive early strong communication with devs, PO, and designers is everything stay flexible — priorities shift, but quality shouldn’t. agree? Own the outcome — not just your tasks This experience pushed me outside my comfort zone — but that's exactly where the real growth happens, I believe. If you've led a release end-to-end in Agile/Scrum, what’s the biggest challenge you faced? Would love to learn from your experiences too. #releasetime #sprintownership #Scrumenvironment #AgileTesting

Flip the Switch: Take an Agile Approach to Becoming Agile Switching from Waterfall to Agile can feel overwhelming for teams used to detailed plans, comprehensive requirements, logical sequential phases, and a perceived sense of certainty. But the transition often reveals that this certainty is an illusion. Priorities, plans, and estimates change. The real challenge is unlearning misconceptions about Agile and adopting the mindset. So, how can your teams flip the switch and be Agile? Well, Step 1 is realizing you can't just flip a switch. Success requires intention, persistence, and patience. So, let's move to Step 2... 2) Shared Vision Clearly articulate why Agile is the right approach. If you can't, then hit pause. Link the decision to measurable goals like faster delivery or improved adaptability. Leadership must vocally champion the vision, showing that Agile means working smarter, not abandoning structure. Tacit approval ain’t good enough. 3) Pilot Start with a pilot team (or ART, for large orgs). Select a manageable project and let teams experience Agile planning cycles, like Sprint or PI Planning. A pilot dispels misconceptions that Agile is chaotic, provides a safe space to learn, and delivers value. 4) Mindsets Invest in training and coaching to bridge the learning curve. Teach the differences between static and adaptive planning. Highlight Agile’s focus incremental value and fast feedback. Equip leaders to support the cultural shift and empower teams to embrace autonomy. 5) Cadences Introduce structured rhythms like iterations and Scrum events. Show that discovery and planning are continuous, not absent. These events align teams, reduce uncertainty, and foster collaboration, contrasting with Waterfall’s detailed but often inaccurate upfront schedules. 6) Tools & Metrics Adopt tools like boards and backlog management platforms to support Agile practices. Use metrics like lead time, velocity, and predictability to provide actionable insights. Focus metrics on outcomes to guide improvement not to control teams. 7) Communities Create forums where teams share challenges and solutions. Communities of Practice foster collaboration, reinforce learning, and promote practice consistency while respecting autonomy. 8) Learn Waterfall’s detailed plans create a false sense of control. Agile embraces uncertainty as part of learning. Use retros, reviews, and demos to adjust based on data. Help teams see that this approach delivers better outcomes, even if it feels uncomfortable. 9) Scale Expand Agile incrementally, applying lessons from the pilot. Frameworks like SAFe provide structure for scaling while maintaining flexibility. Encourage experimentation and adaptation. Lights On Transitioning to Agile requires unlearning misconceptions and adopting new mindsets and practices. Teams will quickly recognize the illusion of certainty and embrace Agile’s adaptive approach. Start small, iterate, and scale gradually to build confidence.

I’ll be sharing a few lessons from challenges we’ve faced at Cafeto and how we’ve addressed them. On this occasion, I want to talk about our experience adopting PHVA (Plan Do Check Act) in our Agile development process. Because we primarily build for customers, service quality and predictability matter a lot, so optimizing how we work is core to delivering better outcomes. As we adopted PHVA, our process became lighter, clearer, and more consistent across projects, helping teams move faster while improving quality. For small and mid size projects, this structure has been especially effective because planning stays lightweight while design and QA get dedicated runway. We typically run two week sprints with UX and Architecture one sprint ahead and QA in a parallel hardening sprint. We also noticed a common anti pattern where planning defaults to coding, leaving design and testing squeezed. We address this by giving each phase its own lane and cadence: Plan (Design first): Plan is not a coding meeting. We emphasize design and discovery, user flows, states, accessibility, API contracts, and clear acceptance criteria. UX and architecture run one sprint ahead, so delivery starts with clarity. For small and mid projects, we keep slices to about 1 to 2 weeks of effort and limit WIP. Do (Build and Reviews): Implement the slice incrementally with feature flags as guardrails, conduct code reviews as part of the work, pair on complex pieces, keep PRs small, write test cases, and maintain steady flow. Check (Validate and Test): Ensure the increment is properly validated with testing suites for functional and non functional checks such as performance, security, and accessibility. QA works a parallel sprint, hardening the increment to be delivered and preparing test assets for what is next. Act (User Acceptance): Secure customer blessing on the delivered increment through UAT. Capture feedback, update the backlog, and roll learnings into the next Plan phase. Working this way has meant fewer handoffs, cleaner releases, and faster feedback loops, which adds up to better results for customers. Not perfection, just steady improvements that compound every sprint. On larger programs, we scale the same loop across multiple teams, and the fundamentals do not change. #Agile #DevOps #QA #UX #ContinuousImprovement #PHVA #PDCA #Cafeto #Product #Delivery #CustomerExperience #Nearshoring

Most product teams use the wrong methodology. They take an AI product — full of unknowns - And try to force it into 2-week Agile sprints. Or they take a well-defined ERP system— And waste months “shaping” a solution that’s already clear. The reality? Different products need different approaches. My team and I never blindly follow frameworks We choose the right one for the job. Here’s how we build faster, smarter, and with fewer failed launches: 1. Waterfall is for established systems (ERP, business logic clear, back office tools, no surprises) Some products don’t need “iterations.” If you’re building an ERP system, an enterprise dashboard, or a government platform— Every detail is already known, or it should be before you build. I can't imagine one building unknown logic into a government platform, there's no room for such error. The mistake? Using Agile or Shape Up for something that just needs execution. Use this method for step-by-step implementation with zero surprises Focus on efficiency, not discovery. If the path is already mapped, why waste time “iterating”? 2. Agile/sprints work for SaaS (Fast releases, tight feedback loops) SaaS is all about constant iteration. The biggest risk? Scaling too fast without user validation. Our approach: - Two-week sprints for fast experimentation - Continuous integration to push updates smoothly - User feedback-driven improvements to refine the product SaaS isn’t about launching perfect. It’s about launching fast and getting better every cycle. 3. Shape Up is for the future (AI, deep tech, uncharted territory) AI is not SaaS - You don't know what you don't know. You can’t “sprint” your way through an AI product. You can’t "waterfall" it either—because the unknowns are too big. That’s why we use Shape Up for AI & Deep Tech: - 6-week cycles to explore and solve unknowns - Fixed time, flexible scope—because AI breakthroughs aren’t predictable - Shaping problems before jumping to solutions—no wasted effort If you’re working with AI or cutting-edge tech, You need a process that embraces discovery. Bottom line? Wrong process = wasted time & money -- If your team is stuck in the wrong methodology, let’s talk. Your product (and your budget) will thank you DM me your thoughts.

Today, we’re diving into Chapter 12: Building Your Product. This one is all about transforming our validated blueprint into a real, working product. Let’s get into it! Building Your Product: This is where it gets real, and we need to be super careful to avoid pitfalls. Blueprint Validation: We’ve validated our target customer, their needs, value proposition, MVP features, and UX. Now, it’s time to turn that blueprint into a working product. Execution Risks: Watch out for technical feasibility issues, scope size problems, and poor execution. Good execution is crucial to mitigate these risks and ensure success. Agile Development Agile development is key. It breaks down the product-building process into smaller, manageable pieces—think bite-sized chunks of work. Waterfall vs. Agile: Waterfall is sequential and rigid, while Agile is flexible, allowing for continuous iteration and feedback. Agile helps us adapt to changes quickly and stay on track. Cone of Uncertainty: Smaller tasks help reduce the "unknown unknowns" and improve predictability. Breaking down tasks minimizes surprises and keeps things manageable. Best Practices for Agile Development: 1️⃣ Cross-Functional Collaboration: Daily interaction among all team members fosters shared understanding and quicker decision-making. Avoid silos! 2️⃣ Ruthless Prioritization: Maintain an up-to-date, rank-ordered backlog to act quickly and efficiently. 3️⃣ Adequate Definition: Provide developers with clear, well-defined user stories and design artifacts. 4️⃣ Stay Ahead: Product managers and designers should work one or two sprints ahead to avoid bottlenecks. 5️⃣ Break Down Stories: Aim for smaller, manageable stories to reduce uncertainty and risk. Quality Assurance: 1️⃣ Manual vs. Automated Testing: Use a mix of both. Manual for new functionality and automated for regression testing. 2️⃣ Test-Driven Development (TDD): Write tests before coding to ensure high test coverage and catch bugs early. 3️⃣ Continuous Integration (CI): Automate the build and test process to catch issues early and keep code deployable. 4️⃣ Continuous Deployment (CD): Automatically deploy code that passes all tests to production, ensuring quick iteration and deployment. That’s it for today’s breakdown. Remember, building your product is a journey. Agile methodologies and best practices can help you navigate it smoothly. Stay tuned for tomorrow’s chapter at 6 PM. #Theleanproductplaybook #Chapter12 #mentormalay

💡Combining Design Thinking, Lean UX, and Agile A combination of Design Thinking, Lean UX, and Agile methodologies offers a powerful approach to product development—it helps balance user-centered design with efficient concept validation and iterative product development. 1️⃣ User-centered foundation (Design Thinking): Begin by understanding the needs, emotions, and problems of the end-users. ✔ Start by conducting user research to identify and understand user needs. ✔ Gather insights through direct interaction with users (e.g., through interviews, surveys, etc.). Spend time understanding users' behavior, focusing on "why" rather than "what" they do. ✔ After gathering research, prioritize the most critical user insights to guide your design focus. Create a 2x2 matrix to prioritize insights based on impact (high vs low business impact) and feasibility (easy vs hard to implement) ✔ Begin brainstorming potential solutions based on these prioritized insights and formulate a hypothesis. Encourage cross-functional collaboration during brainstorming sessions to generate diverse ideas. 2️⃣ Hypothesis-driven testing (Lean UX): Lean UX helps quickly validate key assumptions. It fits perfectly between Design Thinking's ideation and Agile's development processes, ensuring that critical hypothesis are validated with users before actual development started. ✔ Formulate a testable hypothesis around a potential solution that addresses the user needs uncovered in the Design Thinking phase. ✔ Conduct experiment—develop a Minimum Viable Product (https://lnkd.in/dQg_siZG) to test the hypothesis. Build just enough functionality to test your hypothesis—focus on speed and simplicity. ✔ Based on the experiment's outcome, refine or revise the hypothesis and repeat the cycle. 3️⃣ Iterative product development (Agile): Once the Lean UX process produces validated concepts, Agile takes over for incremental development. Agile's iterative sprints will help you continuously build, test, and refine the concept. Agile complements Lean UX by providing the structure for frequent releases, allowing teams to adapt and deliver value consistently. ✔ Break down work into small, manageable chunks that can be delivered iteratively. ✔ Embrace iterative development—continue refining your product through iterative build-measure-learn sprints. Keep the user feedback loop tight by involving users in sprint reviews or testing sessions. ✔ Gather user feedback after each sprint and adapt the product according to the findings. Measure user satisfaction and track usability metrics to ensure improvements align with user needs. 🖼️ Design thinking, Lean UX and Agile better together by Dave Landis #UX #agile #designthinking #productdesign #leanux #lean  

Agile is a methodology rooted in the principles of Lean thinking, originally developed for software development but now applied across industries. It emphasizes adaptability, customer collaboration and iterative progress. What is Agile? Agile is a mindset and methodology for managing projects and developing products. It focuses on: Core Principles (from the Agile Manifesto) Individuals and interactions over processes and tools. Working software (or product) over comprehensive documentation. Customer collaboration over contract negotiation. Responding to change over following a plan. Agile Frameworks Agile is not a single method, it's a family of methodologies, including: Scrum: Time-boxed sprints with defined roles (Scrum Master, Product Owner). Ideal for cross-functional teams. Kanban: Visual board to limit WIP (work in progress) and manage flow. Great for continuous delivery. SAFe: Scaled Agile Framework for enterprise-wide Agile across multiple teams. XP (Extreme Programming): Engineering-focused Agile method prioritizing quality and collaboration. Agile vs. Lean – How They Connect Agile originated from Lean principles and borrows heavily from it. Here's how they align: Eliminate Waste (Muda): Avoiding unnecessary features or work. Respect People: Empowering self-organizing Agile teams. Continuous Improvement (Kaizen): Retrospectives after sprints to refine team performance. Deliver Fast: Short iterations (sprints) and continuous delivery. Build Quality In: Test-driven development, continuous integration. Optimize the Whole: Agile at scale aligns multiple teams toward one goal. Agile Lifecycle (Iterative Loop): Backlog Creation: Define product requirements. Sprint Planning: Select backlog items for next iteration. Execution: Build the product increment in 1–4 week cycles. Daily Stand-ups: Quick team meetings to track progress. Sprint Review: Demo the product to stakeholders. Sprint Retrospective: Reflect on what worked and what didn’t. Where Agile Fits in Lean Agile is a Lean delivery method best suited for: Complex, changing environments (software, R&D, innovation). Environments where customer feedback is essential. Projects needing rapid learning cycles. Agile is a Lean toolset for knowledge work, just as SMED, 5S, or TPM are for manufacturing. Agile in Lean Office or Service Settings In non software environments (Lean Office, Service Ops): Kanban Boards visualize and manage workflow. Scrum Teams support marketing, HR, legal, finance projects. Agile Ceremonies (stand-ups, retrospectives) drive alignment. Lean Metrics (Lead Time, Throughput) are tracked in Agile tooling. Summary Philosophy: Mindset and methods Origin: Toyota Production System Focus: Waste reduction, flow, value Use Case: Manufacturing, admin, enterprise Agile's Role: Execution model for Lean thinking in fast-changing environments

Reflecting on Agile Development with DevOps 2.0: A Flexible CI/CD Flow Last year, I shared a CI/CD process flow for Agile Development with DevOps 2.0, and it’s been amazing to see how much it resonated with the community! This framework isn’t about specific tools—it’s about creating a seamless, collaborative process that supports quality and agility at every step. ✅ 𝗣𝗹𝗮𝗻: Building a Strong Foundation with Clear Alignment The journey begins with planning—whether it's user stories, tasks, or broader product goals. Tools like JIRA or Asana (or any project management platform) help capture requirements and align the team with the Product Owner’s vision. This early alignment is essential to avoid misunderstandings and establish a shared understanding of success. Key Insight: Planning thoroughly and involving stakeholders from the start leads to a smoother process. When everyone’s on the same page, the entire pipeline benefits. ✅ 𝗖𝗼𝗱𝗲: Collaborative Development and Real-Time Feedback In the coding phase, developers work together, often pushing code to a version control platform like GitHub or Bitbucket and communicating via real-time collaboration tools like Slack or Teams. Open communication and continuous feedback help catch issues early and keep the team in sync. Key Insight: Real-time feedback is crucial for speed and quality. Regardless of the tools, creating a culture of continuous collaboration makes all the difference. ✅ 𝗕𝘂𝗶𝗹𝗱: Automating Quality and Security Checks As code is committed, it’s essential to automate quality and security checks. Tools like Jenkins, CircleCI, or any CI/CD platform can trigger builds and run automated tests, ensuring that quality checks are consistent and fast. This step helps prevent issues from creeping into production. Key Insight: Automated checks for quality and security are invaluable. Integrating these checks into the build process improves confidence in every deployment. ✅ 𝗧𝗲𝘀𝘁: Structured, Multi-Environment Testing Testing is layered across environments—whether it’s regression, unit, or user acceptance testing (UAT). Using frameworks like Selenium for automated testing or dedicated QA/UAT environments enables rigorous validation before production. Key Insight: Testing across environments is a safeguard for quality. Structured testing helps ensure that code is reliable and ready for release. ✅ 𝗥𝗲𝗹𝗲𝗮𝘀𝗲: Scalable, Reliable Deployments with Infrastructure as Code (IAC) Finally, using Infrastructure as Code (IAC) principles with tools like Terraform, Ansible, or other IAC solutions, deployments are made repeatable and scalable. IAC empowers teams to manage infrastructure more efficiently, ensuring consistent and controlled releases. Thank you to everyone who has engaged with this diagram and shared your insights! I’d love to hear how others approach CI/CD. Are there any tools or strategies that have worked well for you?

Scrum, broken down for product teams. As a certified Product Manager, Scrum remains one of the most practical Agile frameworks I use to align teams, prioritize value, and deliver incrementally. This cheat sheet highlights the core of Scrum: • Roles – Product Owner, Scrum Master, Development Team • Artifacts – Product Backlog, Sprint Backlog, User Stories • Ceremonies – Planning, Daily Scrum, Review, Retrospective • Iterations – Time-boxed sprints (1–4 weeks) • Estimation – Story points, velocity, and scope control • Transparency – Boards and burndown charts to track progress What continues to stand out is how Scrum enforces: ✅ Clear ownership ✅ Focused prioritization ✅ Fast feedback loops ✅ Continuous improvement Frameworks like Scrum help transform user problems into structured execution and measurable outcomes. Follow Sirisha Ch for more insights. #Agile #Scrum #ScrumMaster #ProductOwner #AgileCoaching #AgileLeadership #SoftwareDevelopment #AgileMindset #ProductManagement #ContinuousImprovement #Innovation #AgileTeams #SprintPlanning #AgileDelivery #AgilePractices

→ 𝐖𝐡𝐚𝐭 𝐢𝐟 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐌𝐞𝐭𝐡𝐨𝐝 𝐂𝐨𝐮𝐥𝐝 𝐌𝐚𝐤𝐞 𝐨𝐫 𝐁𝐫𝐞𝐚𝐤 𝐘𝐨𝐮𝐫 𝐒𝐮𝐜𝐜𝐞𝐬𝐬? In today’s fast-paced tech world, how you manage projects matters more than ever. Have you truly explored the power behind Scrum - the Agile methodology that’s transforming complex projects into manageable, value-driven cycles? • Scrum breaks work into short, focused sprints, making large challenges approachable. • It promotes collaboration through clearly defined roles: Product Owner, Scrum Master, and Development Team. • Regular ceremonies like Daily Stand-ups and Sprint Reviews ensure transparency and continuous feedback. → 𝐖𝐡𝐲 𝐒𝐜𝐫𝐮𝐦’𝐬 𝐅𝐢𝐯𝐞 𝐕𝐚𝐥𝐮𝐞𝐬 𝐀𝐫𝐞𝐧’𝐭 𝐉𝐮𝐬𝐭 𝐖𝐨𝐫𝐝𝐬 𝐌𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐩𝐫𝐨𝐜𝐞𝐬𝐬, 𝐒𝐜𝐫𝐮𝐦 𝐝𝐞𝐦𝐚𝐧𝐝𝐬 𝐚 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 𝐬𝐡𝐢𝐟𝐭: • Commitment – The team rallies around shared goals, supporting each other relentlessly. • Courage – Facing tough decisions and challenges head-on, with integrity. • Focus – Sprint goals give the team a clear lens, filtering distractions. • Openness – Honest conversations about progress and roadblocks unlock solutions. • Respect – Honoring diverse skills and independence fuels innovation. → 𝐀𝐠𝐢𝐥𝐞 𝐯𝐬. 𝐒𝐜𝐫𝐮𝐦: 𝐊𝐧𝐨𝐰 𝐘𝐨𝐮𝐫 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐁𝐚𝐭𝐭𝐥𝐞𝐟𝐢𝐞𝐥𝐝 While Agile offers broad principles, Scrum provides structure: • Agile thrives on flexibility; Scrum channels that into fixed-length Sprints. • Agile roles adapt, Scrum sets clear hats for accountability. • Both prioritize customer feedback, but Scrum’s timeboxed ceremonies deliver rhythm and discipline. Scrum isn’t just a method; it’s a culture built on reflection and improvement - Sprint Retrospectives power your team’s evolution. follow Carlos Shoji for more insights