◆ Software · Work Atlas

The real work of Microsoft Power BI

Forget the menus and the buttons. This is what people actually get done in Microsoft Power BI at work — the real tasks, sorted by the kind of work they are, each with a prompt you can use tonight.

99evidenced tasks
5kinds of work
41with all four prompts

What kind of work is it?

tap a kind to filter the tasks

Which one is you, right now?

Pick the moment · no score, no sign-up
Where are you standing with your work today?
Whichever you pick, the four prompts below cover it.

The work, task by task

99 tasks
hands on the workAdvise on product feasibilityopen it → hands on the workAnalyse financial performance of a companyopen it → hands on the workAnalyze market activity and trendsopen it → hands on the workBusiness processesopen it → hands on the workCollaborate with portfolio managers and analystsopen it → hands on the workCommunicate complex risk assessments to non-technical audiencesopen it → hands on the workConsider economic criteria in decision makingopen it → hands on the workDefine or recommend model specifications or data collection methodsopen it → hands on the workDetermine economically efficient solutionsopen it → hands on the workDraw charts and graphs, using computer spreadsheets, to illustrate technical reports.open it → hands on the workEvaluate achievement of budget objectivesopen it → hands on the workEvaluate the stability of financial investmentsopen it → hands on the workExpress strategic plans in measurable termsopen it → hands on the workForecast economic trendsopen it → hands on the workForecast production and consumption of renewable resources and supply, consumption, and depletion of non-renewable resources.open it → hands on the workGather and analyze financial informationopen it → hands on the workHandle all the matters in reference to the finance and investments of a companyopen it → hands on the workIdentify and analyze transportation issuesopen it →

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.