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?
In my experience, refining prompts improves output quality in several ways:
Better context alignment: Providing industry, role, or scenario helps GenAI tailor responses more effectively.
Higher relevance: Specific prompts reduce unnecessary information and focus on the core requirement.
Structured outputs: Asking for bullet points, frameworks, or examples produces more actionable results.
Deeper insights: Layered prompts (adding constraints, audience, or perspective) encourage more analytical responses.
Ultimately, effective prompt engineering is becoming an important skill. The quality of GenAI output is directly proportional to the clarity and specificity of the prompt provided. Saving Changes...
I've just provided examples besides my initial prompt and observed that the output also improved in efficiency and consistency synchronously.
Saving Changes...
Nelson CiffoniPM Specialist| IBM ArgentinaBuenos Aires, C, Argentina
I think it is important to complete the whole circuit to get the best responses. Provide the context, refine, state what I want from the AI and who it should be (for example, say act as a professional PM).
Consistency and perseverance in the pursuit of the result are also important.
Do not forget to share the results with the team to give them closure within the human context.
Saving Changes...
Stacey ShumatePM II| EricssonLee's Summit, Mo, United States
Personally, I usually use "Persona Pattern" and sometimes "Flipped Interaction" with RTF as my main formula. With this training, I've just discovered all the possibilities available with the CREATE formula and the option to also chain prompts.
GenAI is helping a lot in documentation . Being specific , iterative helping me to generate good documents . Chain of prompts also will help me to get perfect.
Gen AI is very helpful in project management, as we get time to focus on customer and team, instead of spending more time in the documents and reports.
Refining a prompt is one of the most important points to take into consideration when using an LLM. These tools are not to be used with simple search-like small phrases like you would use Google Search. That being said, a lot goes into experimenting and seeing what works best for you. Learn about different prompt frameworks and try again and again. Practice is the key.
Saving Changes...
Raju RaoFounder & Principal| Xtraplus Learning & ConsultingChennai, Tn, India
Thank you for responses Saving Changes...
Mayank JainInfrastructure Program Manager | CenteneTown And Country, Mo, United States
I use paid versions of CHAT GPT. I run a non profit organization as well and am always in need for infographic, flyers etc. I recently created a infographic to announce winners of a poetry competition. But to my surprise, I did not get what I wanted. I had entered the competition name as heading, a brief paragraph to congratulate winners and then names/ list of 14 participants name by session and student grade. Chat GPT kept duplicating a a session. I then had to ask it to forget everything..and then, I said, "Ask me what I should ask you so, I can build a good prompt" :-) ..It then asked me 8 questions. Based on that, I received much better response still it made some other mistakes. At times, its really hard to get what you want! Has anyone else experienced this?