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Hitzfrei

A mobile app helping people in Graz find cooling spots, plan shaded routes and stay safe during heatwaves, built on the city's open climate data and inspired by UN Sustainable Development Goal 11.

2026UX/UI Design · with Veronica BergonzoniFigma, User Research, Prototyping, Information Architecture
UX/UI DesignMobile AppSustainabilityClimate Resilience

Hitzfrei helps people in Graz stay safe and comfortable on hot days: mapping cooling spots, shaded walking routes and real-time temperature alerts, built on the city's open climate data. The project turns invisible heat data into clear, calm guidance: where to cool down, which way to walk and when to take care. It's inspired by UN Sustainable Development Goal 11: Sustainable Cities and Communities.


The problem

With rising temperatures and more frequent heatwaves, people in Graz need quick and easy access to cooling resources across the city. Heat risk isn't evenly distributed: a fountain, a shaded park bench or an air-conditioned café can matter far more to one resident than another, depending on age, health and how they move through the city.

The solution

Users can discover nearby cool spots, get navigated to them along shaded routes, report new spots themselves and receive push alerts when conditions turn dangerous. The app treats heat as something to plan around, not just react to.

Hitzfrei concept slide stating the problem (people in Graz need quick access to cooling resources during heatwaves), the solution (discover cool spots, get navigated, report new ones, receive alerts) and its inspiration from UN SDG 11.

Personas

Three personas anchored the design: Maria Uber, 56, a German teacher in the Gries district who lives alone, walks everywhere and worries about her health during heatwaves. She needs simple, easy-to-read guidance and heat alerts. Lukas Steiner, 24, a university student in Lend who cycles everywhere and wants shaded routes and real-time temperature checks. Jakob Weber, 35, a marketing manager in Andritz working remotely between cafés and coworking spaces, who needs to find air-conditioned places to work and plan routes with shade between meetings.

Three persona cards: Maria Uber (56, Graz Gries district, German teacher), Lukas Steiner (24, Graz Lend district, university student) and Jakob Weber (35, Graz Andritz district, marketing manager), each with profile, needs and emotional driver.

Storyboard

An early storyboard traced how a resident notices the heat, opens Hitzfrei, finds a nearby cooling spot and gets there safely, grounding the later screen flows in a concrete, everyday moment rather than an abstract feature list.

Hitzfrei storyboard panels showing a resident experiencing heat discomfort, opening the app, finding a nearby cooling spot and navigating there.

User journey

The journey map traces a full hot-day session end to end: from receiving a heat warning, through checking the map and forecast, to choosing a shaded route and reporting back on a spot's condition, surfacing where friction and drop-off risk were highest.

User journey map tracing a Hitzfrei session from receiving a heat alert through checking cooling spots, planning a shaded route and reporting back to the community.

Information architecture

The IA organizes the app around five persistent destinations reachable from a bottom tab bar: Map, Route, Forecast, Community and Profile, keeping cooling-spot discovery, route planning, weather awareness, crowd-sourced reporting and personal risk settings each one tap away.

Information architecture diagram showing Hitzfrei's structure across Map, Route, Forecast, Community and Profile.

Wireframes

Low-fidelity wireframes locked in layout and hierarchy before visual design: onboarding, the cooling-spot map, route comparison, the forecast dashboard and community reporting, so the heat-index colour system could be applied consistently once the structure was settled.

Wireframe overview of Hitzfrei's core screens: onboarding, map, route planning, forecast and community, in low-fidelity grayscale.

Reflection

Hitzfrei's strongest idea is treating urban heat as a design problem with a clear, local answer: real Graz districts, parks and fountains, grounded in the city's own climate data, aimed specifically at the people most at risk: older residents, those with heat-sensitive conditions and anyone caring for someone vulnerable. If continued, the next steps would be validating the shaded-route algorithm against real pedestrian data and expanding the community-reporting model to sustain itself past a single hot summer.