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

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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?

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PRASAD S V S V Senior Manager| Genpact India Tg, India
There’s still a lot to learn about AI, although its potential to support PMs is already clear. Thank you!
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PRASAD S V S V Senior Manager| Genpact India Tg, India
There’s still a lot to learn about AI, although its potential to support PMs is already clear. Thank you!
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Anonymous
Provide specific information, examples, documentation with clear and specific instructions using your best judgement choosing effective techniques such as the CREATE method for complex or multi-step scenarios.
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Anonymous

Some best practices are:

  1. Define your goal clearly before using AI and provide enough context.
  2. Use specific and detailed prompts so the AI understands exactly what you need.
  3. Verify the results by comparing them with trusted sources, data, or expert knowledge.
  4. Review outputs critically for errors, bias, or AI hallucinations.
  5. Use controlled experiments with anonymized or synthetic data when testing AI performance.
  6. Get team feedback when the results affect important decisions.
  7. Protect sensitive information by avoiding confidential or proprietary data.
  8. Iterate and refine your prompts based on the results to keep the output aligned with your original objective.

In short: Clearly define the objective → provide good context → generate → verify → review → refine.

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Anonymous

test

Desaroolar un prompt adecuado, refinar y pedir o brindar fuentes confiables.
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Anonymous

Thank you for this valuable course! So much to learn.

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Anonymous

Thanks

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Fioravante Marra Project Manager, Business Analyst, and General Manager| PeakTek AI Consulting, LLC Pembroke Pines, Fl, United States
Jun 10, 2024 5:03 PM
Replying to Elmar Saenger
...
That's a very good question. In my response, I am assuming that the question refers to an LLM-based chatbot.
From my experience, the best results are achieved the more context I provide to the LLM. This means providing as much information as possible that describes both the project itself and the project context.
A second very important step is the quality of the request, also known as the prompt for the LLM. This is similar to human communication, where the quality of the question determines the quality of the answer. Therefore, a good prompt strategy is required, for example:
1. Data and context about the project
2. The goal of the request
3. The task that the LLM should fulfill
4. The format in which the output should be delivered.

In subsequent requests, it is possible to build on the context and results of the previous request. It is important that this process takes place within a chat, as otherwise the context is lost.
In my experience, the most effective approach is to treat AI as a highly capable assistant, not an authoritative source. In addition to the details you provided, I like to implement a more interactive approach with the LLM. Refine prompts, challenge the results, and ask the AI to explain its reasoning or identify weaknesses in its own recommendations. Apply human judgment. AI understands patterns, but it does not fully understand organizational culture, stakeholder dynamics, business priorities, or strategic context.
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Timothy Musaazi Project implementation manager| United Healthcare Distributors Limited Kampala, 102, Uganda

The prompt's quality and precision should match the expected standard of the original goals and include clear, verifiable references relevant to your specific task.

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