◆ Asana

Direct trained survey interviewers

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 taskAssign Sarah to conduct the phone interviews for the 'Customer Loyalty' survey, starting…+
Assign Sarah to conduct the phone interviews for the 'Customer Loyalty' survey, starting Monday, with a daily target of 20 completed surveys. Make sure she has the updated script and access to the survey platform.
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 we launch the 'New Product Interest' survey, make sure the interviewers' instructions…+
Before we launch the 'New Product Interest' survey, make sure the interviewers' instructions clearly explain how to handle 'don't know' responses and if they should probe for more detail. I want to avoid ambiguity in the data.
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 lead interviewer just called, saying two of our new hires are struggling to meet their…+
The lead interviewer just called, saying two of our new hires are struggling to meet their daily quotas and sound discouraged.
The lead interviewer just called, saying two of our new hires are struggling to meet their daily quotas and sound discouraged. I'm afraid they'll quit, and we're already behind on the 'Market Perception' study. I can't tell the client we're short-staffed. What's the likely diagnosis here, and what's the best next move to get them back on track without burning out the rest of the team?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI keep finding discrepancies in the data from interviewers, especially on open-ended questions.…+
I keep finding discrepancies in the data from interviewers, especially on open-ended questions.
I keep finding discrepancies in the data from interviewers, especially on open-ended questions. It's costing us time in cleaning and re-coding. I suspect our training isn't sticking, or the scripts are too rigid. What habit should I change in how we prepare interviewers to improve data accuracy from the start?
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.