1. What is Your Primary Goal When Using AI (e.g., ChatGPT, Gemini, Claude, etc.):
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You can select more than one.
2. How often do you find yourself re-prompting or refining an AI's output to get what you want?
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Rarely – usually get it right the first time.
Sometimes – a few tweaks are often needed.
Frequently – it's a constant back-and-forth.
Almost always – I feel like I'm fighting the AI.
3. When asking AI for a specific type of content (e.g., a formal email, a witty social media post, a technical report), how often does it hit the mark for tone and style?
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Most of the time.
About half the time.
Rarely, the tone is usually off or generic.
4. You need AI to perform a multi-step task (e.g., "Summarize this article, then extract 3 key takeaways, and finally draft a tweet about it"). How do you typically approach this?
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I give all instructions in one long prompt.
I break it into multiple prompts, one step at a time.
I try to guide it through a structured thought process (e.g., "Think step-by-step").
I just ask for the final output and hope for the best.
5. How confident are you in getting AI to consistently produce output in a precise format (e.g., JSON, markdown table, bullet points, specific word count)?
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Very confident, I can usually get the format I need.
Somewhat confident, but it often requires heavy editing.
Not confident at all, it's a constant struggle.
6. When an AI gives you an undesirable response, what's your first instinct?
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Tweak a few words in my original prompt and try again.
Add more context or explicit instructions to my original prompt.
Start a new conversation or give up on that task.
Analyze the AI's internal reasoning (if available) or systematically debug my prompt.
7. How familiar are you with concepts like "Chain-of-Thought Prompting," "Few-Shot Learning," or "Role-Play Prompting"?
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Very familiar, I use them regularly.
I've heard of them, but don't consistently apply them.
Not familiar at all.
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