iOS and Web2App Onboarding that: learns user needs, engages audiences, and drives sales.
✅ Case 1: Transcriber Pro App An app that converts video or audio to text. A developer who creates great apps approached us. He didn't know how to demonstrate the product's value to users or choose the best monetization strategy
Our tasks were:
Identify the audience interested in such a product.
Communicate the product's value (the A-ha moment).
Choose a monetization strategy.
Prioritize the backlog (select features users will pay for).
✅ 1. Jobs and contexts for hiring a voice-to-text translation app include:
Focusing on lectures, not on note-taking
Transforming meetings and calls
Patient interviews or consultations
Research interviews or focus groups
Legal proceedings or meetings
✅ 2. We identified and addressed fears/barriers that might prevent using the product:
2.1 Speed of transcription -"Fast transcribing. It takes several seconds to transcribe one minute."
2.2 Transcription quality - "Highly accurate. We use the latest AI technologies to ensure the best possible accuracy."
2.3 Data security - "Fully confidential. Transcription results secured with biometric protection."
✅ 3. We ask what settings they need directly during onboarding to prevent user confusion during app setup.
3.1 Need text result transformation?
Split dialogue by speakers
Get a summary
Receive follow-up information
Other options
3.2 Preferred export format:
Export as plain text.
Export as a .pdf file.
Export as a .docx file.
Export to Google Sheets.
Other formats.
💡For users who selected "Other Option" on one of the screens, we asked:
How they plan to use the app
How they want to transform the text (what other features they need)
What other text export formats do they need?
🥸 This allowed us to get direct responses from users without investing in research and feature development.
✅ 4. When all the information was collected, we wanted to show the user the work we did to provide the service (using the labor illusion effect to make the price seem fair):
Tuning the AI model for your goals.
Building a private space for transcriptions.
Optimizing cloud storage for faster access.
✅ 5. We set up the iOS and Web2App funnel in 8 minutes
✅ 6. We launched ads for the Web2App funnel and collected all analytics on onboarding progression to check:
How accurately do we target the interested audience?
Which settings and features interest users?
Conversion rate, primary segments
✅ 7. Based on analytics, we changed the funnel, connected the SDK to the iOS app, and published the app in the App Store.
💡After the SDK was added, all changes in onboarding and paywalls can be made without an App Store release