Designing a child-friendly weather experience that turns forecasts into daily decisions
A mobile weather and learning app that helps children and parents make confident daily decisions through outfit recommendations, activity guidance, and playful weather education.
Problem
Children often struggle to interpret weather forecasts independently, while most weather apps are designed for adults and rely on data-heavy interfaces.
This creates a gap between weather information and everyday action, such as deciding what to wear or whether it is suitable to play outside.
My Responsibilities
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Role: UI/UX / Product Designer
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Timeline: 2–4 weeks
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Scope: Research, IA, interaction design, visual design, prototyping
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Platform: Mobile app
Tools
Figma, Illustrator, After Effects and Photoshop
Design Process
Design Challenge
The challenge was to design an intuitive, child-friendly weather experience that transforms abstract weather data into simple, actionable decisions. This presented an opportunity to design a product that supports children’s independence, reduces decision friction for parents, and transforms daily weather checks into a habit-forming learning moment.
RESEARCH PHASE
Pact Analysis
Competitive Analysis
PEOPLE/ TARGET AUDIENCE
Children 6–12 + parents
ACTIVITY
Checking the weather, dressing, and learning
CONTEXT
Morning routines, school prep, outdoor play
TECHNOLOGY
Mobile-first, simple touch interactions
User Insights
Insight 1: Children understand visuals faster than numerical weather data
Insight 2: Parents want quick confidence during morning routines
Insight 3: Children enjoy decision-making when it feels playful
Design principle: Translate weather into actions, not numbers.
Unlike traditional weather apps that present data, WeatherBee translates weather into action, learning, and habit-forming daily routines for children.
PERSONA
HOW MIGHT WE?
How might we help children independently decide what to wear based on the weather while making the experience playful and educational?
VISUAL IDENTITY
Moodboard
Design System
USER FLOW
I mapped onboarding, daily use, and learning flows to identify decision points, recovery states,
and opportunities for delight.
WIREFRAME
SOLUTION DESIGN
Solution pillars
1. Smart outfit recommendations: weather → outfit → save look
2. Interactive dress-up experience: drag-and-drop clothing onto the avatar
3. Weather learning: mini lessons + quiz rewards
ITERATIONS AND DESIGN DECISIONS
Decision 1:
Reduced clothing options from 6 to 4 categories
Why
Hick’s Law: fewer choices reduce decision time
PROTOTYPE AND INTERACTION
I created an interactive prototype simulating drag-and-drop outfit selection to test
engagement and usability.
REFLECTION AND IMPACT
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reduced decision time in morning routine
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increased daily app engagement
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improved child independence
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stronger parent trust
This project strengthened my ability to translate complex data into simple, emotionally resonant product experiences.