Agile-PM

Important Safeguards Against a Microsoft Office 365 Outage

Recently (Last month), a major Microsoft outage primarily affected Office 365 and Teams, disrupting business operations, collaboration, and communication. As with any global software outage, users faced difficulties accessing emails, documents, and essential business tools. To help businesses stay operational during such disruptions, I wrote an article outlining key strategies. While Microsoft outages can be […]

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Key Risks and Business Impact of Downplaying Software (QA) Testing

With recent software (patch) failures making headlines, I couldn’t help but reflect on my own experience as a former release manager. What went wrong? Was there a conflict with existing version? Was this new version and or a patch insufficiently tested before release? Or was it simply a case of human misjudgment-assuming that update was

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How AI Can Optimize SAFe & LeSS Implementations

“LeSS” (Large Scale Scrum) “SAFe” (Scaled Agile Framework) Introduction In a discussion with my colleagues about SAFe & LeSS, some of them asked if I could write a concise, easy-to-digest version on “How AI can optimize SAFe and LeSS implementations”. It took me some time to dive into the topic, but after researching, I’ve gathered

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Azure DevOps vs. Jira: Which Agile Tool Fits Your Workflow?

Over the years, I’ve noticed that ‘tech community’ frequently debates about their choice between JIRA Confluence and Azure DevOps – Kanban for project management. Cost has always been a focal point & a deciding factor. While I have extensive experience with Azure DevOps – Kanban, these ongoing discussions prompted me to take a deeper dive

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AI with Human Decision Making – Strikes a Right Balance in Agile Methodology

There has been an extensive discussion about AI and human interaction in Agile Methodology. In reality, AI and human decision-making are not opposing forces, they are complementary allies. AI enhances efficiency, predictability, and risk management, while human intuition, creativity, and emotional intelligence remain crucial for Agile success. By finding a right balance, organizations can leverage

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How AI is Transforming Agile Project Management

I have been a TPM for a long time. Like anyone in this (IT) field, I have also witnessed this rapid evolution of technology firsthand, along with emergence of numerous tools and techniques. With AI becoming an integral part of our lives, it is naturally reshaping Project Management strategies also, in particular Agile Methodology. Agile

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How to Recognize That a Job Interview May be a “Trap Interview”

Recently, a friend of mine shared an experience during a job search & interview process that many of us might not recognize as a “trap interview.” He asked me to share some thoughts on this, and here’s my perspective: A “trap interview” occurs when an organization conducts an interview without a genuine intent to consider

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Surviving a Tough Job Market as an IT consultant

A few days ago, I had a discussion with some of my professional friends about today’s fiercely competitive & a very slow IT job market, where surviving, let alone thriving, requires more than just technical skills. With mass layoffs, rapid technological shifts, and increased reliance on AI, professionals must rethink their approach to career stability.

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Importance of a ‘Burndown Chart’ in Agile Methodology

Program and project management professionals are likely familiar with the term “burndown chart,” yet not everyone realizes its significance in Agile methodology. A burndown chart is a vital tool that visually represents remaining work in a project or sprint alongside the work already completed. It helps teams track progress, identify potential bottlenecks, and evaluate whether

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How AI Enhances Agile Retrospectives – Data-Driven Continuous Improvement

After a fruitful discussion with my fellow PMs, I feel that writing an article on Enhancing Agile Retrospectives with AI will be a worthwhile endeavor because it highlights how AI can transform retrospectives from subjective discussions into data-driven and actionable improvement sessions. Traditional retrospectives often suffer from bias, repetition, and lack of follow-through, or difficulty

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