◆ Microsoft Power BI

Perform data visualization 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 taskCreate a bar chart showing monthly website traffic sources for the last six months, broken down…+
Create a bar chart showing monthly website traffic sources for the last six months, broken down by organic, paid, and direct, so the marketing manager can see channel performance for the next campaign planning meeting.
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 finalize this executive summary chart of Q3 financial performance, make sure it…+
Before I finalize this executive summary chart of Q3 financial performance, make sure it clearly highlights the top 3 revenue drivers, visually minimizes the less significant data points, and uses a color scheme that emphasizes positive growth for the board presentation.
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 visualize customer feedback, which includes both a 1-5 score and open-text…+
I need to visualize customer feedback sentiment, but the data is a mix of numerical scores and open-text comments.
I'm trying to visualize customer feedback, which includes both a 1-5 score and open-text comments, but I'm stuck on how to combine them effectively. I'm afraid a simple average score won't capture the nuances, and just showing word clouds will be too vague for the product team. I don't know the best way to represent both quantitative and qualitative insights on one page. What's the best visualization approach here?
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 getting feedback that my charts are too busy or difficult for managers to…+
My visualizations often get criticized for being too cluttered or hard to understand for non-technical audiences.
I'm constantly getting feedback that my charts are too busy or difficult for managers to quickly grasp the key message. This makes my insights less impactful and erodes trust in my reports. What habit should I change to consistently create clear, concise, and easily understandable visualizations for every audience?
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.