◆ Google Looker

Use Looker natural language query

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 taskGet me the total sales for the Northeast region last quarter, broken down by product…+
Get me the total sales for the Northeast region last quarter, broken down by product category.
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 share this sales report with the executive team, make it easier to understand the…+
Before I share this sales report with the executive team, make it easier to understand the trends. Highlight the top 3 performing product categories and show how they compare to the previous quarter's numbers.
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 sales director just asked why our Q3 numbers look so different from the forecast, and I'm…+
The sales director just asked why our Q3 numbers look so different from the forecast.
The sales director just asked why our Q3 numbers look so different from the forecast, and I'm worried it's a data discrepancy, not a performance issue. I can't tell them I'm unsure. What's the most likely reason for this gap, and what's the fastest way to check if the forecast data or actuals are misaligned?
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 getting questions from stakeholders about why certain metrics don't seem to add up…+
I keep getting questions about why certain metrics don't seem to add up across different reports.
I keep getting questions from stakeholders about why certain metrics don't seem to add up across different reports, eroding trust in our data. I waste hours reconciling numbers. What habit should I change to ensure consistent definitions and calculations are always used, so I stop losing credibility?
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.