◆ Google Looker

Use Looker Studio with Google Sheets

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 taskConnect the 'Regional Sales Forecast Q4' Google Sheet to the 'Q4 Sales Projection' dashboard.…+
Connect the 'Regional Sales Forecast Q4' Google Sheet to the 'Q4 Sales Projection' dashboard. Make sure the data refreshes daily.
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 connect this 'Campaign ROI' Google Sheet to the marketing dashboard, make sure it…+
Before I connect this 'Campaign ROI' Google Sheet to the marketing dashboard, make sure it automatically flags any campaigns with a negative ROI and surfaces the top three performing campaigns by profit margin. The marketing director needs to see this at a glance.
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 finance team just updated the Q4 budget numbers in their Google Sheet, and they're asking…+
The finance team just updated their budget numbers in a Google Sheet, but the dashboard isn't reflecting the changes.
The finance team just updated the Q4 budget numbers in their Google Sheet, and they're asking why the 'Budget vs. Actuals' dashboard isn't showing the new figures. I checked the connection, and it seems fine, but the dashboard is stuck on yesterday's data. I'm worried about them making decisions on outdated information. What's the most common reason for this delay, and how can I force a refresh or diagnose the exact issue quickly?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI'm constantly asked to pull data from various Google Sheets into dashboards for different…+
I frequently get requests to pull data from Google Sheets into dashboards, leading to manual work and potential errors.
I'm constantly asked to pull data from various Google Sheets into dashboards for different teams. This often involves manual mapping and troubleshooting, leading to delays and potential data inconsistencies. What habit should I change to streamline the process of integrating Google Sheet data and ensure its reliability for ongoing reporting?
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.