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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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Mattias Ansebo Unemployed Stenungsund, O, Sweden

Th large eye-opener for me was role specification. When I started using this, the deliveries stepped up to a whole new level, and I really started to see the potential of AI.
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Anonymous

I think the biggest thing when using AI in projects is to keep it aligned with what we’re actually trying to achieve. It’s not just about the tech—it’s about making sure the AI’s outputs fit the changing goals and make sense to the team. Regular check-ins and clear rules help keep it on track and build trust.
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Ryan Nelson Project Engineer| Marcus Construction New Hope, Mn, United States

It's always a work in progress. You learn that quickly.
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Fabrice COLLET Senior Project Management| BTP Coaching BOULOGNE BILLANCOURT, IDF, France

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Mohamed Ashraf Senior Planning & Procurment Manager| APS Jeddah - Saudi Arabia, Egypt

Refining a prompt has often taken an output from “generic and passable” to “clear, targeted, and genuinely useful.” A small tweak in context, audience, or constraints can completely shift the quality and precision of what GenAI delivers.
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Anonymous

Refining a prompt drastically changed the output from generic and sometimes off point responses to relevant and specific ones. Providing context, examples, and expectations results in a significantly optimized output.
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Demetrick Walker Global IT Cost Planning & Analysis Manager| Adient US LLC Milwaukee, Wi, United States
Jun 21, 2024 10:50 AM
Replying to Kiron Bondale
...
Sarah -

This morning, one of my LinkedIn contacts complained that GenAI tools don't seem to have the ability to craft decent quality PMP practice exam questions. He had used the public version of ChatGPT. I decided to check the same with PMI Infinity and got better results - seven out of ten questions were acceptable.

My first prompt was "Generate ten different questions about project management which would be similar in style and level of difficulty to what is asked on the PMP exam"

It only gave me the questions but neglected to provide any answers. Realizing that this was likely it interpreting what I had asked for "as is", I then added: "Generate ten different questions about project management which would be similar in style and level of difficulty to what is asked on the PMP exam".

With that it was able to provided more useful output.

Kiron
Using AI to generate study questions is a great way to leverage the tool, especially when the PMBOK is provided as the source material.
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Volha Malatsilava Project Manager| d&b audiotechnik Backnang, BW, Germany
Clear instructions definitely help. I always use the Persona method (Act as) and then CREATE technique. The one thing that annoyed me a lot was the repetition by the AI of my task, and I read that you can fix it in the instructions: "Provide only the answer in the requested format without any additional text". A small improvement that really makes me happy!
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Angela Matthews-Starr Professional Consultant | Delta Airlines Covington, Ga, United States

Being more precise, elaborating contextually, and minimizing overload can increase the output quality.
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Angela Matthews-Starr Professional Consultant | Delta Airlines Covington, Ga, United States
In my recent project, I included the role, task and format which led to better output.
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