Valerie Lantsova
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Product

Weather B2C segment. We're building a paid subscription service that gives weather enthusiasts access to in-depth forecast data. On desktop, the service is accessed through our website.

Product:
Activity planner
Role:
Product designer
Meteoblue desktop weather home page

Weather platform: activity planner

Audience

  • hikers
  • mountain guides
  • skiers
  • paragliders
  • pilots
  • climbers
  • outdoor travelers
  • weather enthusiasts

Business problem

Few website visitors end up purchasing a point+ subscription.

User research

A survey of 168 users about paid features found that many enjoy outdoor activities, with hiking the largest segment.

60%

subscribers

discovered premium features only by exploring the website on their own.

74%

paying subscribers

were unaware of at least one feature included in their subscription.

88%

paying subscribers

considered the subscription price fair.

Largest user segment research

After discovering that hikers are the largest segment among paid subscribers, we decided to research their needs in depth.

458 respondents

Survey results about when hikers check the weather, alongside the survey recruitment banner
Survey results: when hikers check the weather
Hiking survey recruitment banner

Findings

Triggers, frequency and terrain

Mountains

preferred terrain

The most popular hiking destination is mountain trails.

2x / month

hiking frequency

Most people go hiking about once every two weeks.

Free days / Good weather

top trigger

A free day on the calendar and good weather are the main motivators.

Findings

Planning and forecast

1–7 days

planning window

Hikes are planned a week or just days in advance.

Precipitation

#1 weather check

Rain, storm risk, temperature, and wind are the most checked conditions.

Elevation

forecast focus

People check forecasts for specific elevation points along their route.

Hypothesis

If we help hikers plan trips with weather in mind, they'll see more value in Premium features and upgrade more often, it could drive up free-to-paid conversion by 3%.

CJM

Customer journey map covering hiking inspiration, forecast comparison, route planning, preparation and the hikeCJM

Key findings

  • Too many manual steps to make a go/not go decision
  • Tracking key points requires app switching
  • Users repeatedly check the weather at different stages of planning

Opportunities

  • Simplify exploring forecasts across locations
  • Simplify the go/no-go decision for a hike
  • Help the user choose exactly where to go
  • Quickly return to a saved point or route

Approach

Opportunity 1Compare

Help users choose a hiking location by comparing weather conditions at multiple points.

Opportunity 2Build route

Help users plan a hike and access weather forecasts along it.

Solution

User flow

I combined 2 paths: comparing points and building a route into one seamless flow, covering the needs of different user types. This is important — it's your idea and the foundation of the interface.

Screens

Weather home and Activity planner entry pointWeather details for a selected locationCompare weather for multiple locationsBuild a hiking routeWeather along the hiking routeSaved favourite routes and locations

Monetisation

We first let the user experience the core value, and only then show the paywall.

Upgrade prompts appear in Build Route, Weather Along the Route, and Favourites.

Build route screen with More points premium promptMore with point+ subscription plans and trial

Design system and UI

I use the meteoblue design library for the app, B2C and B2B products to keep our brand consistent.

Meteoblue button variants and B2C colour token mappings

User testing

Research methodology

Moderated usability testing with 20 participants, split equally between the meteoblue prototype and Windy.

meteoblue prototype

Tested two hiking planning scenarios — Weather-first and Route-first — to evaluate usability, task completion and user preferences.

Windy

Evaluated the bottom-sheet UX and its effectiveness in supporting weather-based decisions.

Data collection

Think-aloud testing, behavioural observations, task success rates and post-test questions.

Research goal

Identify usability issues, understand user needs and inform future product design decisions.

Results

Coming soon.

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