Project Management

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In your experience with GenAI, how has refining a prompt drastically changed the output quality?

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Sarah Philbrick
PMI Team Member
Director, Learning Design & Development| PMI Asheville, NC, United States

With Generative AI, iteratively refining and optimizing prompts can lead to better AI-generated results. This may involve adjusting the specificity or clarity of the prompt to increase relevance and accuracy of results.

What examples do you have of how improving a prompt drastically changed the output quality?  What specific changes did you make that led to the improvement?

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Bradley Cathcart Houston, Tx, United States

In my experience managing product development, refining a prompt is the difference between receiving generic boilerplate and a highly actionable deliverable. Early on, I asked a GenAI tool to simply draft user stories for a new onboarding flow, which yielded broad, unusable statements that lacked technical depth. By iterating and refining the prompt to specify the exact target persona, mandate the standard user story format, require strict acceptance criteria for our engineering team, and provide a clear example of a successful past ticket, the output transformed completely. The model went from producing high-level fluff to generating a structured, edge-case-aware backlog that immediately accelerated our sprint planning and aligned perfectly with our strategic goals.

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MOHAMMED ALABDULATHIM Jubail, 4, Saudi Arabia

Refining the prompt helps to narrow the result to the specific required information

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