◆ Alteryx

Convert month and year to date field

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 taskConvert the 'Reporting_Month' (e.g., 'January') and 'Reporting_Year' (e.g., '2023') fields in…+
Convert the 'Reporting_Month' (e.g., 'January') and 'Reporting_Year' (e.g., '2023') fields in this spreadsheet into a single date field, set to the first day of each month.
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 use this data for time-series analysis, make sure the new date field is correctly…+
Before I use this data for time-series analysis, make sure the new date field is correctly formatted and can be used for calculations. Flag any rows where the month or year seems invalid or missing.
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 combine the month and year columns into a single date field for the finance team,…+
I just got the new monthly sales report, and the 'month' column has mixed formats: some are names, some are numbers.
I'm trying to combine the month and year columns into a single date field for the finance team, but some of the month names are abbreviated, and others are full. I'm afraid if I don't get this exactly right, the financial reports will be wrong, and I'll have to redo everything. What's the most robust way to handle these mixed month formats so the date field is always correct?
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 time trying to convert separate month and year columns into a single, usable date…+
I consistently struggle with inconsistent month and year formats when trying to create a unified date field.
I keep losing time trying to convert separate month and year columns into a single, usable date field, especially when the source data has inconsistent formatting. This often leads to errors in my time-series analysis. What habit can I change to streamline this process and ensure data integrity every time?
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 Alteryx'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.