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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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Anil kumar Tiruvaipati Program Manager| VALUELABS Hyderabad, Telangana, India
It is indeed helpful with conversational Gen AI capabilities. we can get required outcomes as per the business need and post validation we can share protected data to refine the outcomes
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Rahat Ali Khan Pakistan

Refining the prompt greatly enhances the quality and accuracy of the output.
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Mohamed Ragab Egypt
Almost 90%. Being very clear and specific in my prompt. Asking for one output at a time, and also walk with the copilot in a journey, I'm leading it to give me the desired replies/solutions.
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MARIA DEL CARMEN CORDOVA PINO Santa Cruz, S, Bolivia (Plurinational State of)
If you want precise answers it is necessary to give detailed and refined prompts .
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Ahmed Rohouma Mekkah - Jeddah, 01, Saudi Arabia
Breakdown Complex Task and use prompt chaining, breaking large, detailed tasks into subtasks
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Anonymous

Refining a prompt often shifts output from generic to genuinely useful by clarifying intent, constraints, and audience. Even small additions—like specifying format, context, or what to avoid—can dramatically improve relevance and depth. In practice, better prompts guide the model’s reasoning, not just its wording.
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BHAVEN MALDE Smyrna, Ga, United States

good
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BHAVEN MALDE Smyrna, Ga, United States

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Anonymous

Utilizing relevant prompts framework will help provide valid outputs.
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Anonymous

Utilizing relevant prompts framework will help provide valid outputs.
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