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Generate comparative reports

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 taskCompare the performance of the 'Black Friday' campaign from last year with this year's 'Cyber…+
Compare the performance of the 'Black Friday' campaign from last year with this year's 'Cyber Monday' campaign, focusing on revenue generated and subscriber growth.
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 acceptI need to decide whether to run more discount-focused campaigns or content-focused campaigns…+
I need to decide whether to run more discount-focused campaigns or content-focused campaigns next quarter. Generate a comparison report of our top 5 discount campaigns and top 5 content campaigns from the last six months, showing which type generated more engagement and conversions.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentOur last two product launch campaigns—'Product X' in April and 'Product Y' in June—had wildly…+
Our last two product launch campaigns had very different results, and I can't pinpoint the exact reason for the discrepancy.
Our last two product launch campaigns—'Product X' in April and 'Product Y' in June—had wildly different open and click rates, even though I thought they were similar. I'm afraid I'm missing a key factor that explains why one succeeded and the other didn't. What specific metrics should I compare to understand the difference, and what's the most important insight I should draw for the next launch?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI often feel like I'm starting from scratch with each new campaign, instead of building on past…+
I struggle to consistently improve my campaign performance because I don't systematically compare results.
I often feel like I'm starting from scratch with each new campaign, instead of building on past successes. I don't systematically compare different approaches to learn what truly works. This means I keep making similar mistakes. What habit should I change to more effectively learn from comparing past campaign results?
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 Mailchimp'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.