◆ Figma

Design onboarding flows

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 taskDesign a complete onboarding flow for new free-trial signups that runs from signup to the first…+
Design a complete onboarding flow for new free-trial signups that runs from signup to the first paid conversion trigger. Include screens and microcopy for the email invite sent immediately, an in-app first-run checklist, and the paywall timing. Make it possible to hand off to engineering with specs and assets by next Wednesday.
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 hand this onboarding flow to engineering, make it obvious for a skeptical product…+
Before I hand this onboarding flow to engineering, make it obvious for a skeptical product manager: show the savings in time to value at the top, make pricing and upgrade points easy to find, and flag any moments that would make a compliance reviewer hesitate. Suggest the smallest change that will move free-to-paid conversion by 3 percentage points.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentTrial signups jumped after a campaign, but conversions plateau after day three. The PM, growth…+
Trial signups spike but conversions stay flat after day three.
Trial signups jumped after a campaign, but conversions plateau after day three. The PM, growth lead, and customer success manager are watching. I fear trial users hit a feature wall or don't see value fast enough. I cannot tell if the root is missing guidance, unclear upgrade benefits, or weak limits on the trial. Recommend the most telling metric to check now and the one experiment to run this week.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternEvery time we tweak onboarding we add another step and support volume increases; designers and…+
Each onboarding update adds new steps and confuses users.
Every time we tweak onboarding we add another step and support volume increases; designers and engineers blame each other. I need a habit change so onboarding simplifies rather than grows. Propose a three-rule checklist the team must follow before adding any onboarding step, and a quarterly review ritual to prune what hasn't improved activation in 90 days.
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 Figma'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.