Director, Learning Design & Development| PMIAsheville, 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?
oh yeah big time! I'm getting better and better at requiring less refinement before being satisfied. The models are also getting better. Saving Changes...
Wai Loon See ThoDeputy Director, Tech Strategy and Management| EduTechSingapore
Refining AI prompts transformed generic completions into delivering genuine strategic insights for Board and senior leadership decisions. The key difference is providing explicit institutional context, defining the governance perspective needed, and iteratively refining outputs—this approach has cut our strategic analysis prep time by 60% while uncovering non-obvious patterns.. Saving Changes...
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).
I’ve seen first-hand how refining a prompt can drastically improve GenAI output quality. A simple tweak - like adding context, specifying the audience, or defining the format - turns a generic response into something highly relevant and actionable. This course reinforces that prompt precision is key to unlocking AI’s full potential! Saving Changes...
Norma AsimbaGlobal Project Manager| Ciena CorporationColumbia, Md, United States
Refining a prompt has dramatically improved my GenAI results. When I used broad prompts, the output was generic. But adding context, constraints, and a clear goal completely changed the quality. For example, instead of asking for a “communication plan,” specifying the project type, audience, methodology, and expected format produced a focused, actionable plan. I’ve learned that GenAI reflects the precision you give it, the clearer the intent, the stronger, more relevant the output. Prompt refinement becomes a thinking exercise that sharpens both the request and the results. Saving Changes...
Anonymous
Hello Sarah, Gen AI has drastically changed prompt output quality because it can self update. Saving Changes...
Refining a prompt can dramatically improve output quality because small changes in wording often reshape how the model interprets the task, what context it prioritizes, and what level of detail it generates. Saving Changes...
In my experience with GenAI, refining a prompt can completely transform the quality of the output. I’ve noticed that even small adjustments—like adding context, clarifying the role I want the AI to take, or specifying the format—can turn a vague or generic answer into something that feels genuinely tailored and actionable.
There have been times when my first prompt produced something surface-level or not quite aligned with what I needed. But once I rewrote it to be more precise—explaining the objective, the audience, or the constraints—the output suddenly became more insightful and structured. It’s made me realize that the prompt isn’t just a question; it’s more like setting the stage for the AI to perform. When I refine it, I’m basically tightening the direction, and the difference in quality can be dramatic.
Overall, better prompts don’t just improve the answer—they change the entire interaction.
Saving Changes...
Jason GimbelProgram Manager| UCHealthLittleton, Co, 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
Interesting tactic, but I highly recommend PMI's study hall over generating questions from LLMs Saving Changes...
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