Case Study

48-Hour Design Challenge

Digital Twin

AI

Designing an AI-powered avatar creation experience

that combines your photo and voice into a

personalized digital twin.

Role

UI/UX Designer

Timeline

48 Hours

Platform

Mobile-first Web

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The Problem

Why This Matters

Digital Twins are the next evolution of personal AI virtual representations

that look, sound and communicate like you. But current tools make this

process unnecessarily complex.

Complex Workflows

Most AI avatar tools require

multiple apps and technical

knowledge

No Emotional Control

Users can't influence how their

avatar expresses emotions

Disconnected Experience

Photo and voice inputs are treated

as separate, unrelated tasks

Design Goals

What Success Looks Like

01

Reduce Cognitive Load

Minimize decision points during avatar creation to

keep users focused on the outcome, not the

process.

02

Intuitive Input Flow

Make image and voice input feel natural and

seamless like a single, connected experience.

03

Emotional Control Without Complexity

Enable users to influence avatar emotion through

simple, visual interactions.

04

Scalable Foundation

Design a flexible system that can accommodate

future features without redesign.

Context

Constraints & Assumptions

Constraints

48-hour design sprint

Information Architecture was predefined

No time for primary user research

Assumptions

Tech-aware users comfortable with mobile apps

Mobile-first usage pattern expected

Users expect quick, visible results

Research

Key Insights

Secondary and competitive research revealed clear patterns in user

expectations for AI avatar tools.

Realism Over Options

Users prioritize realistic output over

extensive customization options.

Emotion as Differentiator

Emotional control is rarely offered

but highly valued when available.

Simplicity Builds Trust

Clean, focused interfaces increase

confidence in AI-powered tools.

Key Insight

"The emotion slider isn't just a feature it's the primary differentiator that positions this product above

competitors who only focus on visual accuracy."

User Flow

End-to-End Journey

The complete flow from initial input to final avatar output, designed for clarity

and confidence at each step.

Step 1

Add Image

Intent: Capture or upload a photo

Decision: Guided examples reduce errors

Step 2

Add Audio

Intent: Record or upload voice sample

Decision: Clear format guidelines shown

Step 3

Review Inputs

Intent: Confirm before processing

Decision: Visual summary builds confidence

Step 4

Generate Twin

Intent: AI creates the avatar

Decision: Progress indicator maintains trust

Step 5

Edit & Control

Intent: Adjust emotions and details

Decision: Slider provides immediate feedback

Step 6

Final Output

Intent: Preview and share result

Decision: Multiple export options available

Ideation

Low-Fidelity Exploration

Quick sketches helped explore the flow before committing to high-fidelity

designs. The predefined IA guided screen decisions while leaving room for

interaction patterns.

Image Flow

Upload or capture with confirmation

Audio Flow

Record or upload with playback

Emotion Slider

Early concepts for intuitive control

Iterations

Refining the Experience

Feedback from 3 users revealed friction points that were addressed before

final designs.

User Feedback #1

Before

Emotion slider had no visual feedback

After

Added real-time avatar expression preview

User Feedback #2

Before

Users confused about audio requirements

After

Clear format guidelines with examples

User Feedback #3

Before

Navigation between steps unclear

After

Progress indicator with step labels

Final UI

The Solution

High-fidelity screens organized by user journey stage, each designed with

clear intent and purpose.

01

Onboarding & Image Input

Users start with a clear value proposition, then add their photo with guided examples.

Welcome

Photo Guide

Confirm Photo

02

Audio Input & Processing

Voice recording with waveform visualization and real-time audio analysis.

Audio Input

Audio Complete

Overview

03

Avatar Generation

Progress indicators maintain trust during AI processing of the digital twin.

Processing

Complete

04

Emotion Control

The emotion slider lets users select expressions and preview avatar changes in real-time.

Emotion Selection

Playback Controls

05

Customization & Output

Background customization, text input with translation, and final avatar generator.

Generator

Background Light

Background Dark

Text & Translation

💡

Design Decision

The blue accent (#0A84FF) was chosen for its association with trust and technology. Each screen

follows a consistent visual hierarchy with clear CTAs, ensuring users always know their next action.

System

Design System

A consistent visual language ensures scalability and maintainability across the

product.

Color Palette

Primary Blue

#0A84FF

Background

#0D0F12

Card

#13161A

Text Primary

#FAFAFA

Text Muted

#71717A

Border

#27272A

Typography Scale

Display

48px

700

Hero titles

Heading 1

32px

600

Section titles

Heading 2

24px

600

Card titles

Body

16px

400

Paragraphs

Caption

12px

500

Labels, hints

Components

Buttons

Primary

Secondary

Text Link

Card Elevation

Base

Elevated

Capabilities

Core Features

Key functionality that powers the Digital Twin experience.

AI Avatar

Generation

Create personalized AI

avatars by combining

photos and voice

Emotion Slider

Control emotional

expression with an

intuitive slider

Voice Sync

Audio integration with

visual avatar

movements

Backgrounds

Choose or upload

custom backgrounds

Translation

Multi-language text

support

Accessibility

Usability Considerations

Design decisions that ensure the product is usable by as many people as

possible.

Contrast Ratios

All text meets WCAG AA standards with 4.5:1

minimum contrast on dark backgrounds.

Tap Targets

Interactive elements are minimum 44×44px for

comfortable touch interaction.

Progressive Disclosure

Complex information is revealed gradually to

reduce cognitive load.

Clear CTAs

Action buttons use consistent styling and explicit

labels for clarity.

Transparency

Known Limitations

Being honest about scope and constraints.

AI behavior is conceptual — no real machine learning was implemented

No backend integration — all interactions are simulated

Emotion slider output is illustrative, not functional

Reflection

Key Learnings

Takeaways from this 48-hour design challenge.

Time Pressure Design

Constraints force prioritization — focus on what

matters most to users.

IA Clarity

Pre-defined information architecture accelerated

decisions but limited exploration.

Interaction-First Thinking

Starting with micro-interactions created a more

cohesive final experience.

AI Trust Design

Transparency and control are essential when

designing AI-powered features.

Thanks for viewing

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Extraordinary

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Designed & Crafted by

Aatif Khan

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