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     P — Purpose

Why are you making this request?
Clearly state the intent or motivation behind the prompt. This sets the stage and ensures alignment with your broader goals or needs.

Example: To improve customer experience and retention rates.


—

R — Request

What exactly are you asking the AI to do?
Frame the specific role, task, or action you want the AI to perform. Be directive but flexible.

Example: Act as a customer support coach.


—

O — Outcome

What does success look like?
Define the concrete goal or end result you’re aiming for. Think output and impact.

Example: Design a training plan that reduces average response time by 20%.


—

P — Process

How should the task be approached?
List steps, tools, data, or formats to guide how the AI fulfills the request.

Example: Review past support logs, identify delay patterns, and create a step-by-step training workflow.


—

E — Evaluation

How will you measure success or usefulness?
Specify KPIs, benchmarks, or qualitative markers that indicate whether the outcome met your needs.

Example: Compare average response times and customer satisfaction scores one month post-training.


—

L — Limitations

What constraints should the AI consider?
Mention available resources, time, budget, tone, audience, or anything that should be excluded.

Example: Must use only current staff and no additional budget.


—

🚀 Bonus Tip:

Use P-R-O-P-E-L when you want high-quality, context-aware AI responses that align with your strategic intent—especially in content creation, training design, workflows, or business planning.

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