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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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James Cody Lilyfield, Nsw, Australia
Project managers are all too familiar with 'quality in' relating closely to 'quality out'. This is particularly true with GenAI. Without background, persona, target audience and task, among other inputs, the output is seldom of much use.
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James Cody Lilyfield, Nsw, Australia
Project managers are all too familiar with 'quality in' relating closely to 'quality out'. This is particularly true with GenAI. Without background, persona, target audience and task, among other inputs, the output is seldom of much use.
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1 reply by Grant DeCecco
Aug 11, 2025 12:01 PM
Grant DeCecco
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agreed. I think knowing what prompt framework to use for what situation is helpful as well.
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Thuli Malokotsa Freelancer - CAPM Candidate| None Pretoria, Gt, South Africa

In my experience, the real game-changer with GenAI isn’t just using it, it’s how you refine your prompts. A generic prompt will get you a generic answer. But a well-structured, context-rich prompt? That’s when AI starts thinking with you, not just for you.



When I refine prompts, I approach them like a strategist and systems thinker: Define the ecosystem. I set the scene so AI understands the bigger picture, the relationships, and the intended outcomes.



Set constraints and priorities. Clear boundaries sharpen the focus and help filter out noise. Embed the “why”; When AI understands the purpose behind the request, the output aligns better with the goal.



I’ve seen prompts evolve from producing a decent list to delivering a fully-formed strategic roadmap, simply by iterating and layering context, constraints, and the success criteria.



For me, refining a prompt is like tuning an instrument. Each adjustment brings the output into sharper harmony with the vision. Done well, AI stops being a reactive tool and becomes a proactive thinking partner; one that can map options, anticipate outcomes, and help you make better decisions with clarity and speed.



A basic prompt asks AI to respond.
A refined prompt teaches AI how to think for your purpose.

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Raymond Uadiale Maple Valley, WA, United States
!--StartFragment --Concise and specific prompt helps the AI to give valuable response.!--EndFragment --
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Philip Tharwat Samuel Maxemos Chief Technical Office| Orascom Luxor, LX, Egypt

Refining a prompt in GenAI can drastically improve output quality by making the request more specific, contextual, and goal-oriented. For example:


A vague prompt like "Explain climate change" might yield a generic overview.
A refined prompt like "Explain the impact of climate change on agriculture in North Africa, with recent examples and data" produces a focused, informative, and relevant response.

In my experience, even small changes like specifying tone, format, or audience can shift the output from basic to professional-grade.

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Nadine Rogers DULLES, MD, United States
I'm just learning the techniques of AI, so I'm not super knowledgeable. However, my personal approach to knowledge acquisition is to be precise, succinct, and uncluttered. I've found that when AI doesn't give me what I'm looking for, its because the prompt is not sharp enough. Sharpening the prompt has gotten me better results.
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Carlos Jazbinsek Project Management| Independent Professional Services Rio de Janeiro, Brazil
Jun 21, 2024 7:28 AM
Replying to Sergio Luis Conte
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There are framewoks to create prompt. This is part of the Prompt Desing discipline. Those that gave me and the initiatives where I was included are:R-T-F (Role-Task-Format), T-A-G (Task, action, goal), B-A-B (Before, after, bridge), C-A-R-E (context, action, result, example), R-I-S-E (role, input, steps, expectations).

Sergio Luis,



Thanks for sharing info about the frameworks. It's directly connected to the subject we are studing now, prompt engineering, and very useful for our purpose.

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Ajit Kumar Bhadani General Manager ( Operations)| Eka Infra Consultants Navi Mumbai, MH, India

Refining a prompt in GenAI can completely change the quality, relevance, and usefulness of the output — because the model can only be as precise as the instructions you give it.







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1 reply by Grant DeCecco
Aug 11, 2025 11:59 AM
Grant DeCecco
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agreed. I think knowing what prompt framework to use for what situation is helpful as well.
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Dianna McDonald Senior Project Manager | EtiVenture Inc Richardson, Tx, United States
AI responses are only as strong as the questions you pose. I approach it as if it is a brilliant 5-year-old--clear, specific, and precise, leave no room for misunderstanding.
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Grant DeCecco Principal| FisherPeak Management North Vancouver, British Columbia, Canada
Aug 11, 2025 2:27 AM
Replying to Ajit Kumar Bhadani
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Refining a prompt in GenAI can completely change the quality, relevance, and usefulness of the output — because the model can only be as precise as the instructions you give it.







agreed. I think knowing what prompt framework to use for what situation is helpful as well.
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