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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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Jorge Arredondo United States
Using the CREATE and Chaining methods have helped yield much better results using Gen AI systems. The level of specificity and clarity far exceeded previous prompts that were either generic or overloaded with information initially.
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Sarah Nugent Park Ridge, Il, United States
I see the benefit of the log of responses and at the same time it seems like a lot of overhead to maintain.
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Mamo Fanta PMP/ Humanitarian Emergency Response and Project Coordinator| None Addis Ababa, AA, Ethiopia
Refining prompt using Gen AI, definitely help to get quality outputs as quality inputs in may applications produce quality results
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Mamo Fanta PMP/ Humanitarian Emergency Response and Project Coordinator| None Addis Ababa, AA, Ethiopia
Refining prompt provides clarity on what we are looking for that the Gen AI be able to process information/data and produce quality outputs. That is where I think quality data input matters when using some other tools too.
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Mamo Fanta PMP/ Humanitarian Emergency Response and Project Coordinator| None Addis Ababa, AA, Ethiopia
With GenAI, refining prompts provides clarity and focus on specific issues to be processed to be able to produce quality outputs. This I think is basically similar to having quality input to get quality output.
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Greg Sillak Principal Consultant| Acumen PMO Calgary, Alberta, Canada
I have found that I learn how to prompt better through the iterative process. I notice the result is not quite what was expected, then read my prompt. I usually discover I should have provided more context or more clarity. I have had reasonably good results building on the last set of prompt and response.
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ABDELAZIZ ADEL SAYED ABDELAZIZ Senior Structure Engineer| AbdulRahman Abdullah Al-Naim Consulting Engineering Company (ACE) Dammam, 4, Saudi Arabia
Refining a prompt enhances Gen AI output by decreasing ambiguity, improving relevance, and aligning with your objectives. It converts vague or unclear queries into specific, actionable instructions, guiding the AI to produce better-quality, context-specific results.
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Daniel Green Austell, GA, United States
Refining context seems so have yielded the most significant changes and quality improvements, especially when able to accompany with examples and/or data sources for the GenAI to incorporate as it refactors its response.
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Edwin Liggett Executive| Leadgate Healthcare Consulting Waxhaw, NC, United States
During QA cycles the observed issues become supplemental tasks. Studying not only the obvious gaps in context and direction, but also any incorrect filler provided by the AI, leads to a list of defects. Addressing each defect, starting with purpose and business requirements, helps ensure the corrections work.
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Subramanian Somasundaram Project Manager| Seaboard Energy
I have asked some of the interesting questions and got the response that can't be shared here. Then Asked AI to send the chat to my email address for which response " i don't have the ability to send email but suggested me to copy and paste the information.
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