This page focuses on the end-to-end workflow for writing onboarding copy with AI. For copy-ready templates, see app onboarding copy prompts.
The task
Your app onboarding has 3-5 screens to convince a brand-new user not to bounce. Each screen has roughly two seconds to earn a tap, and the copy is doing most of the lifting before the user has any real product experience.
When AI is the right tool
AI is excellent at producing five variants of the same headline so you can A/B test the right tone, and at compressing a sentence to the seven-word ceiling that mobile screens really tolerate. It also helps you write the “skip” CTA so that it does not sound passive-aggressive.
When not to rely on AI alone
AI does not know your activation metric. If the headline implies a feature that does not exist yet, or asks for a permission you have not justified, you have created a churn moment. Pass real product names and real permission reasons; do not let the model invent them.
What to feed the AI
- App value proposition in one sentence
- The single user action you want them to take after onboarding
- The “aha moment” — the first screen where they feel the product worked
- Tone words (confident, warm, playful, technical)
- Number of screens
Copy-ready prompt
Write onboarding copy for a {N}-screen flow.
Value: {value}
Top action: {action}
Aha moment: {aha}
Tone: {tone}
For each screen return: headline (max 7 words), subhead (max 14 words), primary CTA (max 3 words), skip CTA. No "Welcome!" headlines.Recommended output structure
A numbered list of screens 1 through N. Each entry: headline, subhead, primary CTA, skip CTA, and a one-line rationale for why this screen exists. Below the list, the model proposes which screen to A/B test first.
How to check the output
Read every headline aloud in under two seconds. Anything you stumble on gets cut. Verify each CTA is action-led (“Start tracking”, not “Continue”). Confirm no screen requires the user to read more than 25 words total.
Common mistakes
- “Welcome to …” headlines that waste the first screen
- Permission asks (notifications, location) without a value pitch
- Vague subheads that re-state the headline
- Skip CTAs that hide or guilt-trip users
Next steps to keep improving
Instrument drop-off per screen. The screen with the biggest fall-off is the one where your copy is failing. Re-run the prompt with the failing screen’s text in the input and ask for five sharper variants. Most teams find that the first screen and the permission screen are responsible for the vast majority of churn.
Practical depth notes
For How to Use AI to Write App Onboarding Copy: Screens, Headlines, CTAs, the difference between a usable AI result and a generic one is the input packet. Give the model the audience, the current draft or raw material, the desired format, the decision you need to make, and two examples of what good and bad output look like. Ask it to preserve facts first, then improve structure or wording second.
After the first response, do a separate review pass. Look for missing constraints, invented details, weak calls to action, and language that sounds plausible but does not match the real situation. The best final output should be easy to use immediately: clear owner, clear next step, and no hidden assumption that someone else has to untangle. A stronger version of this workflow also defines the handoff. Decide who will use the output, what they should do next, and what information would make them reject it. If the deliverable is copy, test whether it has a single clear action. If it is analysis, test whether it separates observation from recommendation. If it is planning, test whether dates, owners, and tradeoffs are explicit enough for someone else to execute. One final check: compare the finished result against the original goal in a single sentence. If that sentence is hard to write, the output is probably polished but unfocused. Tighten the goal, remove decorative language, and rerun only the weak section instead of regenerating the entire piece.
FAQ
- How many screens is too many? Five is the ceiling for most consumer apps. Past five, you are competing with the user’s patience, not with another app.
- Should I localize first or polish English first? Polish English to a working draft, then localize with the model. Translating broken copy gives you broken copy in five languages.
- What if my product is B2B? Increase the subhead allowance to 20 words and add a “for teams” line. Otherwise the workflow is identical.
Related
Tags: #Workflow #Onboarding