◆ Google Looker

Configure data in a weekly format

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 taskI need to see our website traffic data in a weekly format for the last six months, specifically…+
I need to see our website traffic data in a weekly format for the last six months, specifically unique visitors and bounce rate. Configure this report to group by week starting on Monday.
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 this weekly traffic report to the marketing team, can you make it easier to…+
Before I present this weekly traffic report to the marketing team, can you make it easier to spot trends? Highlight any weeks where unique visitors dropped by more than 10% compared to the previous week, and add a summary row for the average weekly bounce rate.
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 trying to configure our sales data into a weekly format for the Q3 review, but the numbers…+
I'm trying to configure our sales data into a weekly format, but the numbers for last week look unusually low.
I'm trying to configure our sales data into a weekly format for the Q3 review, but the numbers for last week look unusually low compared to previous periods. My director, Maria, expects this report by lunch, and I'm afraid of showing data that might be incorrect. I can't delay this. Is this a data ingestion delay, a misconfiguration in the weekly grouping, or an actual dip in sales? What's the best immediate action to verify these numbers?
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 struggle to reconcile weekly data reports with daily or monthly reports, leading to…+
I often struggle to reconcile weekly data reports with daily or monthly reports, leading to confusion.
I often struggle to reconcile weekly data reports with daily or monthly reports, leading to confusion and extra work explaining discrepancies to stakeholders like John in Finance. This erodes my credibility when presenting. What habit should I change to ensure more consistent and easily reconcilable weekly data configurations across different reporting needs?
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 Google Looker'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.