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Design surveys and research methods

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskDraft a survey for our new customer onboarding process, focusing on satisfaction with the…+
Draft a survey for our new customer onboarding process, focusing on satisfaction with the initial setup and training. Include questions about ease of use and perceived value. I need a first pass by end of day Tuesday.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore I finalize this onboarding survey, help me make sure it will give us truly actionable…+
Before I finalize this onboarding survey, help me make sure it will give us truly actionable insights. Flag any questions that might lead to vague answers, suggest ways to phrase questions to uncover pain points, and ensure it's short enough to get a high response rate from busy new users.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe product team just dumped ten more questions they want to add to the customer onboarding…+
The product team wants to add ten more questions to the survey, but I'm worried about survey fatigue.
The product team just dumped ten more questions they want to add to the customer onboarding survey, saying they need more detail. I'm afraid if we make it too long, our response rates will tank, but I can't tell them no without alienating them. What's the likely diagnosis of their request, and what's the best next move to balance their need for data with our need for completion rates?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI consistently get good response rates on my surveys, but the feedback often feels superficial,…+
My surveys often get good response rates but don't yield deep enough insights.
I consistently get good response rates on my surveys, but the feedback often feels superficial, not giving us the deep insights needed to make significant improvements. This costs us time in follow-up research and makes it harder to prioritize changes. What habit should I change in my survey design process to elicit more profound and actionable customer feedback?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from Asana's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.