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?
Tim CurtisTechnology Services Manager| Nike, Inc.Phoenix, Az, United States
I am just learning about prompts. I have created 1 prompt using RTF to make a project plan for a network upgrade. I was fairly impressed with the amount of detail that was returned. I can see where it can be fine tuned using the iterative process to enhance the plan. Saving Changes...
Refining the prompt certainly gets one to their desired output faster. The more detail and specificity that you add on your prompt iterations, the more the output aligns with your expectations. Saving Changes...
Effective prompting improves quality through clarity, context, constraints, and creativity — specify who, what, where, tone, and output format. Even minor changes like adding intent (“for presentation”) or audience (“for board review”) can elevate the result from generic to exceptional. Saving Changes...
Anonymous
Refining a prompt can drastically transform the quality of GenAI outputs, leading to more accurate, relevant, and actionable results that better meet user intentions. Clearer, more structured, and specific instructions in prompts guide AI models to produce higher quality responses, avoiding ambiguity and misinterpretation.
It is like the difference between night and day Saving Changes...
Esayas AndargeICT Department Manager| Ethiopian Construction works corporationAddis Ababa, Aa, Ethiopia
The output drastically changes as we refine the prompt. We keep learning what addition information needs to be given to the AI to give correct and concise information. We always need to revise again and again our prompts for better responses. Saving Changes...
Anonymous
I've always enjoyed the process of evolving my first prompt until I end up with a prompt that results in the output that I'm looking for. I find it very interesting to see how the outputs change based on the tweaks to format or language that I use in each iteration of the prompt. The output is only going to be as good as the prompt, so spending time figuring out exactly how to write these is worth the effort. Saving Changes...
Prompt chaining is a good option. Somehow if you wonder how to start just write random keywords and then AI will help you to shape your prompt in the next round. Though I agree we have different formats available for PMs but this can be the option for new person in AI field. Saving Changes...
Joshua Anthony DatoTechnical Project Manager| Coral ActiveAustralia, Philippines
In my experience, refining a GenAI prompt can completely transform the quality of the output, much like giving clearer instructions to a team member, once the intent is precise, the results become far more accurate, useful and aligned with what you truly need. I’ve also seen the risks: project managers can become overly dependent on AI, lose depth in critical thinking or communication skills, or accept AI-generated answers without validating them, which can lead to misunderstandings or poor decisions. But the benefits are real and meaningful too. When used well, AI and thoughtful prompt engineering help project managers work faster, analyze information more clearly, communicate with more precision and free up energy for the human parts of the job, leadership, stakeholder alignment and problem-solving. It doesn’t replace our skills; it elevates the impact we can make when we use it intentionally and responsibly. Saving Changes...
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