Windy.app
iOS, Web
B2C
Jun 2022 – Jun 2025
Role: Senior Product Designer — UX, maps, forecasting, data visualization
Focus: Built clear UX for complex weather data: depth maps, radar, tides, spot insights.
Team Impact: Improved activation and retention via UX/UI upgrades and experiments.
Product Overview
Windy.app is a mobile weather app that consistently ranks in the Top 10 of the US App Store Weather category.
It combines outdoor-meteorology expertise with clear, intuitive visualizations to help beginners, pro athletes, and weather enthusiasts make better decisions on the water and on land.

Users:
kiters, SUP-paddlers, paragliders, surfers, yachtsmen-racers, freedivers, fishermen, boat captains, windsurfers, and others

Context:
Mobile, Tablet, iOS + Android
Outdoor & water sports
Fast, readable conditions for wind- and water-driven activities.
Advanced
weather tech
Radar + nowcast
Real-time radar and short-term nowcasting in one flow.
Built for anglers
Fishing layer and spots.
Bathymetry + conditions to find structure and plan the bite.
Yachting & boating
Marine weather & forecast.
Sea forecasts with layered maps for safer routes.
Product Goals
Weather Accuracy
Turn wind, waves, tides, and radar into reliable, actionable insights.
Bathymetry
& Depth Maps
Provide intuitive depth, fog, and radar layers for safer navigation.
Segment Growth
Create value for sailors, surfers, anglers, and beginners to expand reach.
Spot Intelligence
Make spot forecasts clearer, more predictable, and easier to scan.
User Clarity
Reduce cognitive load by simplifying meteorological complexity.
Trust & Reliability
Improve weak features to boost forecast confidence and retention.
  • Weather Accuracy
    Turn wind, waves, tides, and radar into reliable, actionable insights.
  • Spot Intelligence
    Make spot forecasts clearer, more predictable, and easier to scan.
  • Bathymetry & Depth Maps
    Provide intuitive depth, fog, and radar layers for safer navigation.
  • User Clarity
    Reduce cognitive load by simplifying meteorological complexity.
  • Segment Growth
    Create value for sailors, surfers, anglers, and beginners to expand reach.
  • Trust & Reliability
    Improve weak features to boost forecast confidence and retention.
Real-world Context
Behind Key UX Decisions
  • Wind drives everything
    in outdoor sports
    Gusts, direction, and stability affect safety and performance. Wind cues must be readable at a glance.
  • Why visuals matter
    more than numbers
    Maps and charts reveal patterns faster than tables. Scale, contrast, and data “relief” make decisions easier.
  • Balancing different
    mental models
    Pros want depth; beginners need guidance. The UI should serve both without overload.
  • Users need clarity —
    not “raw” data
    Decisions happen under uncertainty and time pressure. We translate complex weather data into clear visual signals.
Roles & Product Ownership
  • Senior Product Designer (UI/UX)

    2023-2024
    Focus:
    core product UX + data visualization

    1. Spot Page redesign (core surface)
    • Reframed wind/gusts/tides/temperature visuals for faster scanning
    • Improved forecast readability and perceived reliability

    2. UX iteration & research loop
    • Hypotheses → interviews + unmoderated tests → small shipped iterations
    • Tight collaboration with PM, engineers, and meteorologists

    3. Systematizing data UX
    • Shared rules for charts, tables, and color scales
    • A/B tests impacting activation and retention
  • Data Vizualization
    & Map Design
    (specialization)

    2023-2025
    Focus:
    geodata, cartography, and weather layers

    1. Marine data & bathymetry
    • End-to-end US bathymetry map design: depths, contours, soundings, lakes
    • Integrated multiple datasets with data science partners

    2. Weather layers & visual systems
    • Radar UX + nowcast timeline control
    • Visual language for waves, tides, and marine layers

    3. Scientific accuracy across scales
    • Fog layer with DS engineer: density + visibility model
    • Validated correctness with cartographers and meteorologists
  • Team & Process Contributions
    Focus:
    processes, experimentation, cross-functional work

    1. Experiments & growth
    • Testing loop for paywalls and onboarding funnels
    • Framework for experiment analysis and insight synthesis

    2. Team sync & delivery
    • Better collaboration across design, engineering, DS, and meteo
    • Co-led experiments → turned winners into permanent features

    3. Explaining complex tech to users
    • Helped craft clear messaging around the EXP3 AI model value
Design challenges
New Spot Page
Responsibility
Senior Product Designer for the Spot Page team. Owned forecast IA + data-viz quality; partnered with Growth and Engineering.

What we did (and my part)
We redesigned the Spot Page for fast, confident decisions. I led the forecast IA and data-viz model (wind color scale + chart clarity) and aligned map/forecast UX with engineering. A second designer drove UI execution and delivery.

Outcome
Engagement/retention improved (NDA). Patterns became a foundation for a data-focused design system module.
Bathymetric Map (USA)
Responsibility
Led bathymetry design in a dedicated “killer feature” squad.
What we did (and my part)
I designed the depth visual style from scratch—contours, soundings, and water bodies—and worked with a DS engineer to merge multiple data sources via Mapbox JSON. The goal was a map that stays data-rich while remaining readable across zoom levels.
Outcome
The feature launched with strong product signals (details under NDA) and became a visible competitive advantage for marine navigation and fishing use cases.

Find the fish by depth
Depth contours reveal drop-offs and structure
— the spots where target species tend to gather.
Find the fish by depth
Depth contours reveal drop-offs and structure
— the spots where target species tend to gather.
Precipitation Radar (Global)
Responsibility
End-to-end design for the Global Precipitation Radar layer.

A supercell thunderstorm visualization.
The radome of the NEXRAD WSR-88D (NOAA archive).
The process of scanning a cloud with radar.
The devastating consequences of hurricanes that radar can now detect.
A supercell thunderstorm visualization.
The radome of the NEXRAD WSR-88D (NOAA archive).
The process of scanning a cloud with radar.
The devastating consequences of hurricanes that radar can now detect.
What we did (and my part)
I designed the radar UX + nowcast timeline, defined visuals for weak/strong fronts across zoom levels, and ran discovery with meteo + DS. Partnered with data science/engineering to ensure correct rendering across scenarios.
Outcome
Radar became a key retention driver (NDA) and a foundation for radar as a sub-product.
Onboarding, Paywalls, Feature-tours (Growth Loop)
Responsibility
Growth design for premium activation (onboarding, paywalls, feature tours).
What we did (and my part)
With the Head of Marketing, I shipped rapid test batches (10–12 paywalls, 2–3 funnels), kept only winners, and tailored messaging/visuals by user segments.
Outcome
Monetization metrics improved (NDA) and we built a repeatable experimentation playbook for design/marketing.
EXP3 – AI-Based Weather Model (Global)
Responsibility
Onboarding + in-app marketing for EXP3, our AI-based weather model (promo assets + paywalls).
What we did (and my part)
I defined the visual language and messaging for EXP3, translated a complex AI concept into simple in-product explanations, and built in-app narratives that highlight when/why EXP3 outperforms other models.
Outcome
EXP3 became a key product differentiator (metrics under NDA), and users better understood where EXP3 is the best choice.
Visual Design
Achievements
and Impact
NDA: Detailed metrics are protected, as Windy.app operates in a highly competitive, industry-leading weather market.
  • Stronger Core
    Product Experience
    • Spot Page became faster to read and more reliable in harsh weather conditions.
    • Key parameters (wind, gusts, tide) are now instantly understandable on mobile screens.
    • Improved speed and confidence in user decision-making.
  • More Reliable Weather
    & Depth Data
    • Refined the visual language for wind, waves, and tide.
    • Added new layers (bathymetry and radar) to improve on-water safety.
    • Data became more accurate and easier to interpret.
  • Growth & Engagement
    Improvements
    • Increased user engagement with key features.
    • New onboarding improved product understanding and interest in Premium.
    • A/B iterations strengthened key product signals.
My personal impact
& Key achievements
I strengthened Windy.app by turning complex marine and weather data into clear, actionable UX. Owned core UX for spot forecasts, marine layers, maps, onboarding, and activation flows.
Driving product growth
Learned: activation improves only when value is obvious early.

Handled: rebuilt onboarding and key entry points, iterated via experiments, and strengthened signals for core + premium use.
Map UX craft at scale
Learned: map UX is about clarity under dense layers and states.

Handled: designed marine layers (depth, tides, fog/radar) and unified the visual language to reduce cognitive load.
User-driven foundation
Learned: segment needs differ sharply across marine users.

Handled: ran quick interviews/tests, validated spot → map → forecast flows with prototypes, and fed discovery into iterations.
Collaboration & delivery

Learned: complex domains need tight alignment across experts.

Handled: synced designers, engineers, meteorologists, and cartographers; improved reviews/docs; and kept delivery consistent.
Try it yourself
Built for outdoor activities, tested with real users. Everything shown in this case is based on real usage and validated UX work.
All product rights and materials showcased in this case belong to Windy Weather World Inc. Copyright © Windy Weather World Inc.
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