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?
Being specific helps the AI to give some valuable answers. And also learns with time as you ask further questions, it will give you better responses according to your needs. Saving Changes...
Brittany GrimmProgram Manager | NoneRaleigh, Nc, United States
Using a template to document my prompts is going to be a game changer! I added it to my favorites and I will be updating it regularly. Saving Changes...
Brittany GrimmProgram Manager | NoneRaleigh, Nc, United States
Using a template to document my prompts is going to be a game changer! I added it to my favorites and I will be updating it regularly. Saving Changes...
Cesar PacherresSpecialist Web Channels Systems| BBVA ContinentalLima, Peru
Its very usefull and important for improve the outputs and save time for operative tasks when you discover great formula for your needs, and knowing wich AI Tool or Model is good for what tasks in your work days. Saving Changes...
Before Refinement:
"Explain cloud computing" → Generic, overly technical response unsuitable for XYZ Corp's sales team.
After Refinement:
"Explain cloud computing to XYZ Corp's sales team using a car rental analogy, focusing on cost savings and scalability, in under 100 words." → Clear, actionable, and audience-specific output.
Result: The refined prompt delivered a concise, relatable explanation that directly supported XYZ Corp's sales enablement goals.
Saving Changes...
Ododoade AdewuyiAnalyst| CW Real Estateportland, ME, United States
Jun 21, 2024 7:28 AM
Replying to Sergio Luis Conte
...
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).
As a student, I’ve had a few moments where tweaking a prompt completely changed the quality of the output I got from AI. One example that stands out was during a risk management assignment. I initially asked the AI to “explain Monte Carlo simulations,” but the response was too surface-level and didn’t connect to how it’s used in project management. So I refined the prompt to ask, “Explain how Monte Carlo simulations are used in risk analysis for project scheduling, with an example related to cost estimation.”
That one change made the response way more relevant, it actually helped me understand the concept better and apply it in my work. I’ve learned that the more context and clarity I give upfront like mentioning the course topic, assignment type, or the kind of explanation I need, the better the AI responds. It’s all about guiding it the right way. Saving Changes...
Suresh HejjajiPMO Leader| CiscoBengaluru, Karnataka, India
I found that changing the prompt while conducting risk analysis and preparing the project plan in a tabular format, detailing specific products and models with time duration and number of engineers involved, will generate amazing and precise outputs. This approach allows for better organization and clarity in the analysis and planning process. By presenting the information in a structured and visually appealing way, it becomes easier to identify and address potential risks and make informed decisions. Additionally, the use of a tabular format enables easy comparison and evaluation of different product and model options, leading to more accurate and reliable outputs. Overall, this method enhances the effectiveness and efficiency of the risk analysis and project planning activities. Saving Changes...
KUMASSI YANNICK H. N'DALead Process Manager| IVORIAN REFINERY COMPANYABIDJAN, COTE D'IVOIRE, Côte d'Ivoire
For example, rather than prompting “Explain project risk,” I might say:
“As a project manager preparing for the PMP certification, I need a concise explanation of qualitative vs. quantitative risk analysis, with a focus on their respective processes and outputs, aligned with PMBOK 6 and 7 standards.”
This level of detail guides the AI to respond with greater clarity and precision, reducing ambiguity and aligning the output more closely with professional project management frameworks.
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