Samsung Weather,
made personal.

Company

Company

Samsung Electronics America

Date

Date

2025.1 – 2026.6

My Role

My Role

Product Design

AI & Personalization

Evaluation & Prototyping

Weather tells us what’s outside. Not what it means for us.

Overview

Overview

Turning weather data into contextual guidance

Turning weather data into contextual guidance

I explored how Samsung Weather could move beyond a one-size-fits-all forecast by combining weather, health, wearable, and behavioral signals to deliver guidance that adapts to each person and moment.

The Challenge & Insight

73° ≠ the same for everyone

Traditional weather products optimize for forecast accuracy. But through user research, I found that the same conditions can lead to very different decisions depending on someone’s health, routine, activity, and intent.

The Opportunity · Samsung’s Full Ecosystem

What if weather understood my context?

Samsung's ecosystem connects weather, health, activity, and wearable signals, creating an opportunity to turn forecasts into guidance that responds to the individual.

Contextual Signals

Defining the signals behind each recommendation

I combined personal, environmental, and behavioral signals to determine which activity to surface, when to recommend it, and at what intensity.

My Approach

Designing how personalized guidance behaves

01

01

Surface the Right Guidance

Bring personalized guidance directly into L1, helping users quickly understand what fits their context and why.

02

02

Make the Guidance Explainable

Make the Guidance Explainable

Reveal the personal and environmental signals behind each recommendation, giving users enough context to understand why it fits them.

Reveal the personal and environmental signals behind each recommendation, giving users enough context to understand why it fits them.

03

03

Adapt Guidance Across Activities

Adapt Guidance Across Activities

Prioritize different signals based on the activity, rather than applying the same logic to every recommendation.

Prioritize different signals based on the activity, rather than applying the same logic to every recommendation.

04

04

Adapt Content to Context

Surface the most relevant content based on the user’s activity, location, conditions, and moment.

05

Turn Guidance Into Action

Translate recommendations into clear next steps, helping users decide when to go, what to prepare for, and when to adjust their plans.

Evaluation Framework

What makes personalized guidance “good”?

I defined five criteria to evaluate recommendation quality, then used this framework during live prototype testing to assess outputs across different user contexts.

Across the Ecosystem

Intelligence shouldn’t live in one app.

Responsive by Design

Designed for every Galaxy

Thoughtfully adapted across screen sizes, layouts, and device contexts.

System Contribution

From Weather to One UI

Components and interaction patterns developed through this project were adopted by the One UI system team, extending the work beyond Weather into Samsung’s broader design system.

Results
Shipped
Shipped

From Concept to Product

From Concept to Product

Proposed in early 2025, key elements launched with One UI 7 that May, then evolved through real-world feedback into a more personalized direction pitched in 2026.

5+
5+

Connected Experiences

Connected Experiences

Extended beyond Weather across messaging, widgets, Samsung Health, Watch, and other Galaxy surfaces, bringing contextual guidance into the moments that matter.

400M+
400M+

Built for an AI-First Galaxy

Built for an AI-First Galaxy

Designed as Galaxy shifted toward more proactive, context-aware intelligence, within an AI ecosystem reaching 400M+ users globally by 2026.

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©KL Portfolio 2026

©KL Portfolio 2026

©KL Portfolio 2026