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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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Tony Lawani Whitby, ONTARIO, Canada
As a new AI user, you’ll quickly notice how much refining a prompt can influence the quality of the output. When I started using GenAI, I found that vague or general prompts often led to broad responses that didn’t fully address my needs. However, by rephrasing the prompt with more specific details—such as the desired tone, format, or focus—the AI produced responses that were far more relevant and tailored to what I wanted.
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MOHAMMED JAWAD AKTHAR ALANGAYAM Product Manager| Salam Riyadh,, Saudi Arabia

Example 1: Creating a Project Status Summary
Initial Prompt: "Summarize the project status."
Output: A very generic summary that lacked key details.



Refined Prompt: "Summarize the project status for a non-technical audience, highlighting progress, key milestones achieved, pending tasks, and any risks or delays."
Improvement: The AI provided a more structured and detailed summary tailored to the audience's needs.

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Mahmood Abdulrahman FO and Customer Support Manager| Sevennet Telecom Company Sulymanya -Iraq, Sulymanya, Iraq
Brilliant, thanks alot for sharing
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Cara Lee Sandulak Whitehorse, YUKON, Canada
Thank you.
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Angel Okrah Chandler, Az, United States
Using the chained prompt example in the workbook in both Chat GPT 4o and Claude, the output changed a great deal and provided more information to consider and provided greater quality that could be used to provided added value to final solution/approach.
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Tom Jose Program Manager / Product Manager| Royal Bank of Canada Courtice, ONTARIO, Canada
A vague prompt produces generic responses, while a specific word, it delivers precise, tailored outputs.
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Tom Jose Program Manager / Product Manager| Royal Bank of Canada Courtice, ONTARIO, Canada
A vague prompt produces generic responses, while a specific one delivers precise, tailored outputs.
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Tom Jose Program Manager / Product Manager| Royal Bank of Canada Courtice, ONTARIO, Canada
A vague prompt produces generic responses, while a specific one delivers precise, tailored outputs.
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Yonatane Moche DCDE Addis Ababa, AA, Ethiopia
Refining a prompt has changed the output quality by making sure the response is particular to my needs and is not just generalized.
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Ericka Montes Cali, Valle Del Cauca, Colombia
font _msthash="499" _mstmutation="1" _msttexthash="18431725"Hice algunas preguntas con chatgpt usando más detalles como el contexto, el rol y lo que se buscaba. Me di cuenta de que cuantos más detalles di, mejor era la respuesta que estabas buscando./font
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