Articles on using AI tools and prompt engineering in project management work
A major tech company recently scrapped its standard interview format. Instead of asking candidates to work through familiar questions without assistance, it gives them AI tools and watches what they build. That shift matters for project managers. The traditional interview rewarded polished answers, memorized frameworks, and carefully rehearsed stories. The […]
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Artificial intelligence is quickly becoming part of everyday project work. It can help prepare status updates, summarize meetings, analyze risks, organize requirements, and turn rough notes into polished communications. As a result, interviewers are no longer asking only whether you have used AI. They want to know whether you can […]
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AI is no longer a side topic in project management interviews. When a hiring manager asks, “How do you use AI?”, they are often trying to understand whether you can work efficiently, adapt to new tools, and apply sound judgment. They are not simply checking whether you have experimented with […]
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AI-first companies are changing what a strong product manager interview looks like. A candidate may still discuss prioritization, stakeholder management, and product judgment, but the familiar interview loop is evolving. Some companies are replacing standard technical rounds with live, AI-assisted exercises and deeper questions about AI product strategy. For working […]
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You can prepare for a project management interview by searching for hundreds of common questions. Or you can start with the document your interviewer is most likely using: the job description. For working project professionals, this is a much faster way to focus your preparation. A project manager job description […]
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Scrum.org’s AI4Agile 2026 research found that 83% of agile practitioners use AI tools. Yet only 15% have received formal training in using AI within an agile context. Most are not using AI extensively. Fifty-five percent spend 10% or less of their working time with it. The problem is not resistance […]
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Friday morning arrives, and the sprint review starts in two hours. You open Jira, yesterday’s standup notes, Slack, and the previous sprint report. Then you spend the next two hours copying updates, checking story points, rewriting blockers, and fixing the format. The Gitmore 2026 practitioner guide for engineering teams contrasts […]
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There is a version of AI adoption that gives a Scrum Master more work, not less. The team updates Jira, posts in chat, joins standup, and then repeats the same information inside a new AI tool. Nothing has improved. The reporting surface has simply multiplied. The practitioner recommendation reflected by […]
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You are a Scrum Master with approval for one AI credential this year. Scrum.org’s new certification looks credible, relevant, and close to your daily work. The syllabus includes AI agents, sprint planning, ethics, organisational adoption, and the changing Scrum Master role. This is not a superficial introduction. But completing it […]
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If your main AI habit is asking ChatGPT to draft retrospective notes, you are improving a task that may soon need little human effort. The result feels useful because you save 20 minutes. It does not change your role. In his Online Scrum Summit 2026 keynote, Dave West framed AI […]
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