When you ask an AI tool for help, what does your request usually look like?

A short, general question — like something you'd type into a search engine.

A specific question, but without much background or context.

A clear ask with context and the format you want back (e.g. "as a table," "in 3 bullet points").

A structured prompt with role, context, the specific deliverable, and any constraints spelled out.

If an AI tool gives you an answer that seems off or too generic, what do you usually do?

Take the answer as-is, or give up on using AI for that task.

Ask again with slightly different wording and hope for the best.

Add more context or an example of what you actually want, then try again.

Break the task into smaller steps or ask the AI to explain its reasoning before refining further.

How do you currently think about AI "hallucinations" (confidently wrong answers)?

I hadn't really thought about it — I assume the answers are correct.

I've heard AI can be wrong, but I don't have a habit of checking.

I double-check answers when the stakes are high (numbers, facts, quotes).

I routinely verify anything factual and ask the AI to cite or explain its sources.

How many of your regular weekly tasks currently involve an AI tool at some point?

None — I haven't worked AI into my routine yet.

Several tasks, fairly regularly (a few times a week).

AI is part of my default workflow for most repetitive tasks.

Have you ever set up a saved prompt, template, or automation so you don't have to re-explain a task to AI every time?

No, I start from scratch each time.

I've thought about it but haven't set anything up.

I have a few saved prompts or templates I reuse.

I have a small system of saved prompts/templates and update them as I improve them.

Before pasting work information (documents, client data, code) into an AI tool, what do you typically do?

I paste whatever I need without thinking about it much.

I'm cautious about obviously sensitive info, but haven't checked the tool's data policy.

I know roughly what my organization allows and avoid sharing anything outside that.

I actively check data retention/training settings and use privacy-safe options (e.g. zero-data-retention, enterprise settings) when handling sensitive info.

How would you describe your current understanding of how AI tools use the data you give them?

I don't really know how it's used.

I have a general sense but haven't looked into specifics.

I understand the basics of training data vs. session data for the tools I use most.

I actively manage settings like opt-out of training, data retention windows, and enterprise/private deployment options.

When a new AI tool or feature comes out, what's your usual reaction?

I mostly ignore it until I have to use it.

I hear about it but rarely try it myself.

I try new tools/features when they seem relevant to my work.

I actively explore new tools and look for ways they could improve how I work.

Think of the last time AI genuinely helped you solve a problem (not just save time). How did that happen?

I can't think of a specific example.

It helped with something small, like fixing a sentence or a formula.

It helped me work through a real problem after some back-and-forth.

It's become a regular thinking partner I use to work through problems, not just a task-completion tool.

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