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6 Advanced ChatGPT Prompts: Writing employee handbooks

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6 Strategic ChatGPT Prompts: Writing employee privacy policies

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6 Innovative ChatGPT Prompts: Writing I-9 forms

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6 Strategic ChatGPT Prompts: Writing workplace accommodation policies

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7 Strategic ChatGPT Prompts: Writing workplace bullying policies

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6 Expert ChatGPT Prompts: Managing high-potential employee programs

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7 Innovative ChatGPT Prompts: Creating performance improvement dashboards

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6 Expert ChatGPT Prompts: Developing onboarding training for managers

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6 Innovative ChatGPT Prompts: Conducting performance gap analyses

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6 Strategic ChatGPT Prompts: Designing employee awards programs

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6 Innovative ChatGPT Prompts: Creating employee recognition events

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6 Proven ChatGPT Prompts: Conducting performance calibration sessions

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6 Proven ChatGPT Prompts: Developing goal-setting software

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7 Proven ChatGPT Prompts: Creating competency-based job profiles

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6 Expert ChatGPT Prompts: Developing succession planning programs

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6 Strategic ChatGPT Prompts: Conducting 360-degree feedback assessments

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6 Strategic ChatGPT Prompts: Creating employee recognition programs

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7 Proven ChatGPT Prompts: Writing career development plans

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6 Innovative ChatGPT Prompts: Developing employee goal-setting strategies

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7 Advanced ChatGPT Prompts: Creating performance review templates

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What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”


Become a prompt researcher instead of engineer
- If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
- For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?
Become a prompt researcher instead of engineer
- The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
- Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.