In your experience with GenAI, how has refining a prompt drastically changed the output quality?

Artificial Intelligence

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?

Posted: Jun 18, 2024 1:41 PM (Updated by moderator: Jun 27, 2024 9:44 AM)

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WAGNER VACA LORA Consultant Bolivia (Plurinational State of)

improving the context and providing updated data

Posted: Jan 14, 2026 11:51 PM

Janeekis Harper Kingston, GA, United States

Going from generic to tailored and contextualized certainly makes all the difference and saves redundancy and time.

Posted: Jan 15, 2026 3:40 PM

Luis Perez Silvera Consultant Venezuela (Bolivarian Republic of)

Hi Sarah, in my experience, the difference between a generic response and an actionable strategy lies entirely in the structure of the prompt. I have moved away from simple "tasks" toward providing comprehensive context and specific frameworks.

From Generic to Tailored Strategy: Initially, requesting a "Risk Mitigation Plan" produced textbook definitions; by assigning a senior role and adding industry-specific constraints, I received an actionable roadmap.
The Power of Role and Context: By explicitly defining the AI as a "Senior PM with 20 years of experience," the output shifted from basic suggestions to expert-level insights aligned with organizational culture.
Injecting Industry Benchmarks: Adding context about specific industry leaders and best practices transformed vague recommendations into a list of high-impact activities ready for stakeholder review.
Iterative Refinement and Examples: Providing "Few-Shot" examples (brief samples of the desired output) drastically improved formatting and tone, eliminating the need for extensive manual rewriting.
Impact on Deliverables: These adjustments allowed me to bypass the "blank page" stage, moving directly to a 90% complete document that required only final human validation for context.

The drastic improvement in quality occurs when we stop treating the AI as a search engine and start treating it as a specialized consultant. Specificity is the bridge that transforms AI from a curiosity into a high-value productivity engine.

Posted: Jan 16, 2026 1:13 AM

Ciro Barbieri da Cunha Sao Paulo, Sp, Sp, Brazil

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

That iis exactly what I think about AI: it is a diligent interim that has access to a huge amount of information but that has no experience on what it is doing. So you have to help it to "learn" (actually to interpretate) what you are asking for to get better suggestions (I do not like calling responses for what AI produces).

Posted: Jan 16, 2026 12:41 PM

SHEREEN ELGHOBARY Cairo, C, Egypt

I apply continues refinement by adding more specific constrains and clarity to prompt until the output reach a sufficient and accurate result that align with my project goal

Posted: Jan 17, 2026 12:13 PM

Anonymous

As in many other communication contexts, you need to translate your Chain of thoughts and the essential information required to have the answer you're looking for. In many cases, first prompts are focusing on what you need and not on the core context to get what you need.

Posted: Jan 18, 2026 9:53 AM

Emmanuel Williams Principal consultant| INESA Consulting Lagos, Lagos, Nigeria

A lot of great comments here. Just want to add that as LLMs do not give you the same response to exact same prompt, where I am satisfied with a previous response and only need the LLM to add analysis of an area omitted from its previous responses, I specifically frame my next requests for example like, "maintaining the previous response outputs, add analysis for......"

Posted: Jan 19, 2026 8:09 AM

Tejinder Kaur Rawat Vancouver, British Columbia, Canada

Refining a prompt can drastically improve GenAI output. Clear instructions, specific context, defined structure, and examples help the AI give more accurate, useful, and professional results. Even small prompt adjustments—like adding the audience, format, or key points—can turn a basic response into a high‑quality one.

Posted: Jan 20, 2026 7:20 PM