◆ Google Looker

Optimize workflows with first-party data

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 connect our CRM data from Salesforce to the existing customer engagement dashboard.…+
I need to connect our CRM data from Salesforce to the existing customer engagement dashboard. Use the customer ID as the common key.
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 acceptWhen I pull our customer purchase history into the new segmentation model, make sure it flags…+
When I pull our customer purchase history into the new segmentation model, make sure it flags high-value customers who haven't purchased in the last 90 days. I need to prioritize outreach for those at-risk accounts.
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 marketing team is pushing hard for a personalized email campaign based on customer's last…+
The marketing team wants to launch a personalized email campaign, but I can't confidently segment customers by their last product interaction.
The marketing team is pushing hard for a personalized email campaign based on customer's last product interaction, but I'm struggling to get a clean, reliable segment for 'last product view' vs. 'last product purchase'. The definitions seem to overlap, and I'm worried about sending irrelevant emails. What's the best way to define and extract these segments reliably to avoid annoying customers?
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 rebuilding slightly different customer segmentation queries for every new…+
I keep rebuilding similar customer segmentation queries for different marketing initiatives.
I'm constantly rebuilding slightly different customer segmentation queries for every new marketing campaign. It's repetitive and prone to small errors. What habit should I change to create reusable, adaptable customer segments that marketing can pull themselves without my constant involvement?
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.