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Count and group data in Power BI

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 Microsoft Power BI tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskCount the number of unique orders per product category in the 'Sales Data 2023' table and group…+
Count the number of unique orders per product category in the 'Sales Data 2023' table and group them to show the total order count for each category. Put this into a new visual for John's weekly sales review by 10 AM.
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 customer demographic breakdown to the product development team, help me…+
Before I present this customer demographic breakdown to the product development team, help me ensure the counting and grouping logic accurately reflects user engagement by feature. I need to clearly show which features are most used and by which user segments, making it actionable for the team.
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 just tried to count the unique number of users within each subscription tier for the…+
I tried to count unique users by subscription tier, but the numbers look off, and the marketing lead is asking for the report.
I just tried to count the unique number of users within each subscription tier for the marketing lead, but the totals in my visual seem inflated, almost like it's counting duplicates. Sarah needs this report for her campaign planning meeting in an hour, and I'm afraid of giving her incorrect data, which would impact our ad spend. I can't just send it out. What's the most reliable way to count and group unique users by their subscription tier to ensure accuracy?
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 losing credibility because my counts and groupings, especially for unique items like…+
I consistently make errors when counting and grouping data, especially with unique values, leading to distrust in my reports.
I keep losing credibility because my counts and groupings, especially for unique items like customers or transactions, often contain errors. This leads to finance questioning my numbers and marketing making decisions on faulty data. What habit should I change to ensure I consistently and accurately count and group data, particularly when dealing with unique values, so my reports are always trusted?
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 Microsoft Power BI'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.