Project Management

Please login or join to subscribe to this thread

When using AI systems, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

linkedin twitter facebook   Artificial Intelligence  
avatar
Sarah Philbrick
PMI Team Member
Director, Learning Design & Development| PMI Asheville, NC, United States

Validating and checking outputs is critical when working with AI systems like Generative AI. Such validation approaches may include establishing clear criteria, implementing strong testing protocols, and continuous refinement.

In your experience with AI, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

Sort By:
< 1 ... 114 115 116 117 118 119 120 121 122 123 124 ... 191 >
avatar
Eugene De Wee Head of PMO | Programme & Project Delivery| Independent Consultant – PMO, Programme & Project Delivery Johannesburg, Gauteng, South Africa

The real risk isn’t AI giving us wrong answers, it’s AI giving us convincing answers to the wrong questions.



That’s why validation can’t just be about accuracy. PMs need to frame prompts around value and outcomes, not just tasks. Otherwise, we’ll end up with faster reports that are perfectly polished… and strategically irrelevant.



The future PM isn’t the one who checks outputs, it’s the one who knows how to steer AI toward impact.

avatar
Farhana Ahmed Project Manager| Bardavon Ks, United States
When using AI systems, ensure you're using the ReAct method to help the AI build on data. There are also prompts that help such as Chain of feedback, and feeding the AI with your current and update sources of information. Building in validation is an integrual part of how to ensure the AI aligns with the origial goals. This includes finding ares where Human in the loop processes need to be builtin to the overall project process.
The key is to combine the power of AI with human oversight, clarity of objectives, and continuous management of data quality and results.
avatar
Alexandre Marques Senior Project Management| MEO Vila Franca de Xira, 11, Portugal
In my opinion to ensure that the AI results are accurate and truly aligned with the goals is very important to create clear and objective specifications using relevant datasets with high quality. Write prompts and provide a precise context so the AI understand the fully objective and goals.
avatar
Larisa Kenen Project Manager| Uncommon Impact Ventures Lombard, Il, United States
Providing more relevant background information, considerations/constraints, and expectations from the output.
avatar
Lisa Cantavespre Al, United States
I will ask the same question in multiple ways and compare the response.
avatar
arun chandramohan professor| NICMAR University of Construction studies India
It needs the context, data that has the relevant information that needs to be analyzed and generated, prompt that is well defined and suited to the context. sometimes we need to train and verify based on the sample data before it is used for specific requirements
avatar
Bola Mensah Abuja, FC, Nigeria
To get specific, accurate, and goal-directed outputs from AI systems, start by giving clear and specific inputs with context and desired results. Verify outputs by fact-checking cross-references, asking for sources, and paraphrasing questions to verify consistency. Render results relevant by looping prompts back, setting boundaries, and referring back to your objectives. Use critical thinking always—don't blindly rely on AI, beware of bias, and check with domain expertise. Finally, save and repeat: save good prompts, try variations, and use quality controls. AI is such a fast, smart assistant—guide it well, proof carefully, and tune results to your goals.
avatar
Bola Mensah Abuja, FC, Nigeria
Refining a prompt can completely transform output quality. For example, asking “Explain project management” gives a vague overview, but reframing it as “Explain project management in simple terms with three real-world examples for secondary school students” produces clear, structured, and relevant insights. Adding context, specifying audience, and setting format or tone narrows the AI’s focus, reducing irrelevant or generic responses. Iterative refinement—refining goals, boundaries, and exclusions—is often enough to shift results from vague or generic to highly tailored and actionable. In my work, the difference between a mediocre and a great output is usually how well the prompt is refined.
avatar
Leonardo Ferrami Project Manager| Gung S.R.L Firenze, Italy
Be specific on what you need and what you ask
Upload example file to precise the output you want
< 1 ... 114 115 116 117 118 119 120 121 122 123 124 ... 191 >

Please login or join to reply

Content ID:
ADVERTISEMENTS

It is better to ask some of the questions than to know all the answers.

- James Thurber

ADVERTISEMENT

Sponsors