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Case Study Promo: WhisprAI Onboarding UI
Client Requirement:
Airzon Agency designed an onboarding UI in Figma for WhisprAI to explain complex AI features clearly and boost early user adoption.
Problem:
Traditional AI onboarding flows rely on text-heavy screens, causing visual overload and low feature retention.
Solution:
Clean, floating UI components and dynamic 3D elements to illustrate AI actions.
Dedicated screens showcasing core features: Smart Suggestions, Auto-replies, and Tone Control.
Outcome:
A visual onboarding flow that simplifies complex functionality, engages users instantly, and drives high feature adoption.
🔗 View Full Project: Contra Portfolio
Beautiful onboarding screens!
Thanks mate, we really appreciate your feedback! : )
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🚨 AI FEATURES DON’T CREATE RETENTION.
COMPOUNDING VALUE DOES.
Most AI note-taking apps compete on:
🎙 faster capture
📝 better summaries
🏷 smarter tagging
🔎 stronger search
Useful, yes.
But none of that guarantees users come back.
The bigger opportunity is when the product starts getting more valuable because the user has already used it before.
In this concept, AI doesn’t just process a note.
It notices:
→ which ideas keep returning
→ which topics appear across different contexts
→ which thoughts may deserve action
→ when an old note becomes relevant again
That changes the product from an archive into a system that learns from accumulated behavior.
And that creates a much stronger growth loop:
More input → more context → better resurfacing → higher perceived value → more input
That’s the kind of mechanic I’d test for retention.
📊 Product targets
• 30%+ faster capture flow
• 40%+ increase in resurfaced-note engagement
• 20%+ improvement in weekly return rate
• 2× higher note-to-action conversion
• 50% less manual organization
The interesting AI products won’t win because they generate more.
They’ll win because every interaction makes the next one more valuable.
👉 BOOK A MOBILE APP STRATEGY SESSION
https://calendly.com/asol_design/book-diagnostic-call-linkedin-clone
What I like most here is the idea of AI becoming more valuable with time, not just more capable in the moment. If every new note improves how older thoughts are connected and resurfaced, the archive stops being storage and starts becoming product intelligence
Just shared a selection of product explainer animations and storyboards. A look into my process of turning complex workflows into clear, engaging visual stories using Figma and Jitter.
Turning complex workflows into simple visuals is where animation really earns its place. The storyboard approach makes that process much clearer.
This is beautiful, Daniel
