Thinking that moves work forward
Insights
Practical ideas on AI, project governance, and digital execution. Read, reflect, and put them to work.
15 insights · Newest first
Stakeholders often come to PMs with a solution already in mind. At first glance, the requirement looks clear. But there are usually hidden assumptions behind those solutions. This article tells you how PMs can use 3 prompt templates to reveal hidden assumptions before writing specs. Because PMs do not only make requirements clear. A more important part of the PM’s job is to make sure the team is not spending effort on the wrong problem.
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For many project managers, the first instinct when using AI is to ask it to summarize documents, rewrite content, generate PRDs, create user stories, or produce presentation materials.
These use cases are certainly useful. But I believe the greater value of AI for project managers lies in helping us see the questions we have not asked, the assumptions we have not noticed, and the real requirements behind the stated requirements.
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The future of Generative AI is not only about generation. It is provenance.
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A reflection on using AI as a practical tool for learning, sparking ideas, and managing knowledge.
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A practical note on why the same prompt can produce different answers, and how top_p and temperature shape model behavior.
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A brief introduction of the definition of zero-shot, one-shot, and few-shot learnings.
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