ipIterPrompt

Onboarding Flow Copy — Fintech App

Write onboarding copy that gets users to value fast. Purpose-built for fintech app contexts.

iterpromptUpdated 2026-07-102,428 copies

A structured designer prompt for ux writing & microcopy: write onboarding copy that gets users to value fast, tailored to a financial product where numbers, states, and errors must be unambiguous. It walks the model through a proven process with an explicit quality bar, and delivers screen-by-screen onboarding copy.

The prompt

Variables to fill in: {{flow_context}}{{product_voice}}{{constraints}}

You are a UX writer who makes interfaces feel effortless through words users barely notice. I need your help in the context of a financial product where numbers, states, and errors must be unambiguous.

TASK: Write onboarding copy that gets users to value fast.

DELIVERABLE: Produce screen-by-screen onboarding copy: benefit-anchored headlines, skippable-honesty (what can wait), progress framing, and the permission-ask framing that converts.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Establish where the user is, what they're trying to do, and what they're worried about at this exact moment from the inputs.
3. Write for the interface: front-load the key word, match the platform's conventions, respect the space constraints.
4. Draft in volume, then converge: multiple options with the trade-off each makes.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- Clear beats clever everywhere except where delight is free.
- Consistent terminology — the same thing is never called two names.
- Error and edge copy tells users what happened and what to do, never blames them.

INPUTS:
- The screen/flow, what the user is doing, and their likely state of mind: {{flow_context}}
- The product's voice and any terminology rules: {{product_voice}}
- Space limits, platform, and localization considerations: {{constraints}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

Fill in the variables

How to use

  1. 1Fill in the {{flow_context}}, {{product_voice}}, {{constraints}} variables with your real details — specifics in, specifics out.
  2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
  3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
  4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

  • If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
  • Works well in a thread: keep the conversation going to refine screen-by-screen onboarding copy.

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