Zenit

Solving insecurity in a realistic way

Amid many paths

Struggling with the initial topic

The initial briefing was to design a digital product based on the theme of "communities and support networks". We approached it through very broad lens, exploring how digital spaces could foster collaboration, mapping a wide spectrum of social issues on Miro, from isolation and local commerce to bullying prevention.

Our strongest idea was tackling "urban street insecurity". Still, for weeks, my team and I kept wondering if we were investigating the best cut of the problem, as we feared for choosing a topic that could be sole responsibility of the government.

Researching before deciding

We had to go through many stage to move past personal biases and media narratives, we structured a rigorous mixed-methods discovery phase. We executed an institutional desk research review to ground local data, referencing macro-trends from the Global Peace Index 2024 alongside local crime statistics.

We performed a benchmarking analysis of leading personal safety apps to evaluate tracking features and conducted an immersive POV safari to simulate the cognitive load of walking alone. We also launched a pilot survey and a mass questionnaire with 154 responses, validating that perceived insecurity heavily conditions nighttime mobility.

When the data contradicted my expectations

Coming from São Paulo (Brazil), a city with high rate of phone robbery on the streets, I imagined Barcelona would be a city where safety would hardly register as the citizens' priority. However, the data showed exactly the opposite. In fact, safety concerns are highly present in Barcelona, especially in public spaces, public transit, and during the night. They expressed an anticipatory anxiety that triggers defensive habits like changing routes, walking faster or faking phone calls.

This was yet another reminder that, in design, our personal experiences cannot replace evidence. So we defined our focus as nighttime urban insecurity.

Thinking about solutions too soon

The anxiety to start building

Even before the research was consolidated, we were already imagining features.

The act of generating ideas isn't a problem in itself. What is dangerous is letting that desire drive us to build too early. We could have easily arrived at a solution we thought was amazing, but that wasn't actually designed with anyone specific in mind.

A good project needs a very concrete reason to existwhether it's trying to solve a pain point for a specific group of people or a business problem. Because of this, it made more sense to have a stronger foundation before deciding on an idea to develop.

Consolidating insights

At this point, we went through a data synthesis process: organizing insights, defining an archetype matrix, synthesizing interviews and defining pain points. Only then we had foundational evidence to think of solutions.

We generated over 100 ideas, which we clustered and refined down to a few detailed concepts. One of the proposals was a mobility app that brought together several features: safer routes, location sharing, a trust circle, and community recommendations. The idea was to offer a complete support experience for the user, synthesizing many of the other ideas we had generated.

This map solution was chosen because it best addressed the pain points of our two main archetypesit brought the trust circle closer to people who needed accompaniment and reassured profiles looking for greater control over their routes when leaving home.

An ambitious proposal

The first design sprint

The idea seemed very promising: a single app capable of bringing together everything we imagined would be very useful for someone walking home at night. But, in practice, we realized we were trying to solve too many problems at once.

While part of the team explored AI tools to quickly turn our ideas into prototypes, I focused my work on the structure of the experience. I organized the User Journey Map, refined the core user flows, and started translating our discussions into interfaces that could be tested. This work helped bring coherence to the product before we even thought about visual refinements.

"Less is more"

At the end of the sprint, we realized something: the app ended up looking like just a combination of a lot of solutions that already existed on the market. Our value proposition was offering an all-in-one solution, but this had two problems: 1) it was not realistic for development, and 2) we did not have a clear differentiator.

Testing showed that gathering as many features as possible woud not apport more value. Instead, doing a few things really well probably would. That was the moment we started prioritizing the key features of the app: finding safe routes and sharing your routes.

When design was no longer enough

The technical challenge

As the prototype evolved, we realized that traditional tools were no longer enough to simulate the experience we wanted to validate.

Our product depended on maps, real-time location, and interactions that a conventional prototype could hardly represent convincingly.

That's when we began a true exploration of tools.

Building a prototype that actually worked

We created numerous project prototypes using AI tools we discovered along the way, such as:

Google AI Studio, Claude, v0, Bolt, Figma Make, GitHub, database integration

While my teammates experimented with different AI tools to speed up screen creation, I focused on structuring the prototype's technical foundation.

I worked on database integration, user authentication, search functionality, and project organization using GitHub, allowing the entire team to collaborate simultaneously even while using different tools.

My role ended up being less about producing screens and more about creating the framework that allowed them to exist.

The problem was never just insecurity

A shift in perspective

When we started the project, I viewed safety as a problem that depended primarily on policing, infrastructure, and government decisions.

Throughout the research, I realized there was another, much less visible problem. Many people stopped making plans, changed their schedules, or altered their routes simply due to the anxiety of imagining risky situations.

Not every safety solution needs to prevent a crime. Some can simply make the experience of living in the city more peaceful.

Whether youre building a brand, designing a product, or simply want to explore an idea, I'd love to hear from you.

arthur.siviero.s@gmail.com

Whether youre building a brand, designing a product, or simply want to explore an idea, I'd love to hear from you.

arthur.siviero.s@gmail.com

Arthur Siviero

arthur.siviero.s@gmail.com

Arthur Siviero

Arthur Siviero

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