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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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In my experience, refining a prompt can completely transform the quality of the output. The biggest difference comes from providing context, defining the audience, specifying the desired format, and explaining the objective rather than simply asking a question. For example, instead of asking AI to "summarize a meeting," I might ask it to create executive-level meeting minutes with decisions, risks, action items, and stakeholder impacts. The result is far more useful and aligned with my needs. I've found that prompt refinement is less about telling AI what to do and more about teaching it how to think about the problem. The more context and clarity I provide, the closer the output gets to something I can use immediately with minimal rework.

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Dawn Hodges Senior Project Manager| Koch Engineered Solutions Nederland, Tx, United States
I tend to give as much detail as I can, and then ask it to not assume anything, and ask me clarifying questions to help drive the proper output.
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