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Welcome to TechSheThink!
Hey there, tech trailblazer! You’ve just stumbled into the most vibrant corner of deep tech, where women’s brilliance is rewriting the rules of AI, quantum…
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🧠 Brain Fog & Burnout: Is Perimenopause Crashing Your Code?
Welcome to TechSheThink — where we talk honestly about the real-life bugs that affect women in tech. Today’s topic? One that’s still far too…
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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.
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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.
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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%.
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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.
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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.
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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.
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🚀 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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