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Research policy issues

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
See the prompt↓All LinkedIn tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskFind recent legislative proposals in the state assembly related to renewable energy and…+
Find recent legislative proposals in the state assembly related to renewable energy and summarize their main objectives by the end of the day.
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 present on the impact of the new federal education policy, help me dig deeper.…+
Before I present on the impact of the new federal education policy, help me dig deeper. Identify potential unintended consequences for local school districts and list three specific data points that illustrate the policy's effect on student outcomes in similar states. Flag any areas where our current data is weak.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI'm researching the proposed city budget, and the figures for public safety don't seem to align…+
I'm researching the proposed city budget, and the figures for public safety don't seem to align with the stated priorities, but I can't quite pinpoint why.
I'm researching the proposed city budget, and the figures for public safety don't seem to align with the stated priorities, but I can't quite pinpoint why. I'm afraid of misinterpreting the data and making an incorrect claim. What's the likely discrepancy here, and what's the best next move to accurately understand the budget allocations?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI spend too much time sifting through dense policy documents and often miss critical details or…+
I spend too much time sifting through dense policy documents and often miss critical details or connections.
I spend too much time sifting through dense policy documents and often miss critical details or connections, which makes my research less efficient and sometimes less accurate. I feel overwhelmed by the sheer volume of information. What habit should I change to improve my ability to quickly extract and synthesize key insights from policy issues?
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 LinkedIn'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.