Rota Financeira

Rota Financeira

Vehicle Maintenace Management App

Vehicle Maintenace
Management App

  1. Context

Rota Financeira is a small Brazilian startup focused on developing a product that helps ride-hailing drivers manage their finances and vehicle maintenance, efficiently balancing income, expenses, and goals. Additionally, the app helps drivers organize and remember important maintenance tasks, preventing unexpected expenses and wasted time due to unplanned stops.
The product's users are app-based and food delivery drivers who use cars and motorcycles for work and often lack a clear understanding of their earnings and expenses. The situation for these drivers demands much more than just skill behind the wheel; it requires a fleet manager mindset. With rising operational costs (fuel and maintenance) and increasingly complex fares, drivers who don't keep track end up "paying to work."
  1. The Problem

With rising operational costs (fuel and maintenance) and increasingly complex fares, many app drivers are unable to organize their finances and, as a result, when their car breaks down, they don't have the money to maintain it.
  1. Objective and goals

The goal was to create an app aimed at ride-hailing drivers that had features such as: financial control, expense tracking (including maintenance), statistics, etc.
Possible features to address user pain points:
  • Maintenance expense management;
  • Fuel expense management;
  • Charts;
  • Integration with the Uber API;
  • Statistics;
  • Registration of recurring customers.
  1. My role

My role in this project was to build the app's MVP together with the founder, the PM, the developers, and the other designers, aligning expectations and strategies. I was also responsible for initiating the product's first Style Guide, which was designed following Material Design best practices and WCAG accessibility guidelines.
  1. Initial research

Since we started a project from scratch, the first thing we did was desk research and we discovered that:
  • Total workforce: By the end of 2021, Brazil had approximately 1.5 million workers in the passenger transport and goods delivery sector (the so-called gig economy).

  • Breakdown by category:

    • 61.2% (approximately 935,000) worked as app-based drivers or taxi drivers.

    • 20.9% (approximately 322,000) were motorcycle delivery drivers.

    • 14.4% (approximately 222,000) worked as motorcycle taxi drivers.

  • Demographic profile: The vast majority are men (over 90% in most categories).

    • Most are under 50 years old.

    • There is a strong presence of black and mixed-race people, reaching 73.8% among motorcycle taxi drivers.

  • Education: The level of education surprised researchers. More than 10% of app-based drivers and taxi drivers have higher education, while among delivery drivers this rate is 5.6%.

  • Income: Motorcycle delivery drivers were the only subgroup with average incomes below the minimum wage (referring to the 2021 value).

    • The study points to a marked financial vulnerability among these professionals.

  • Social Security and Informality: Only a minority (approximately 23% to 33%, depending on the category) contributed to the social security system, highlighting the high degree of informality and the lack of a social safety net.

  • Cause of growth: The increase in these numbers was driven by the COVID-19 pandemic, which generated both the need for new sources of income due to unemployment and the increased demand for delivery and individual transportation services.

Furthermore, according to a survey conducted by Datafolha at the request of Uber, we discovered:

  • High level of education: almost half of the professionals (46%) working on the platform have completed or partially completed higher education.

    • Among drivers, the rate is 51%.

    • Among delivery drivers, the rate is 38%.

  • Demographic profile:

    • Gender: 92% are men.

    • Family: 63% have children.

    • Age: drivers are concentrated in the 30-39 age range (35%), while delivery drivers are younger, with 49% between 18 and 29 years old.

  • Main motivations:

    • Flexibility: having flexible hours is important for 71% of respondents.

    • Autonomy: 60% value being their own boss.

    • Income: 66% use the money for personal/family projects and 62% to replace income lost during the pandemic.

    • Transition: 52% are on the platform while seeking full-time work.

  • Employment Status: The majority (62%) prefer to maintain the self-employment model (freelance) rather than being a formally employed worker (CLT).

  • Retirement and Protection: Although 71% are concerned about retirement and income protection, 43% do not contribute to the INSS (Brazilian Social Security Institute) or private pension plans, claiming that the cost of monthly payments is too high.

  • Salary Expectations: Workers say they would only accept a permanent job if they earned, on average, 43% more than they currently earn with Uber.

  • Research Data: The survey interviewed 1,583 drivers and 848 delivery workers across all regions of Brazil.

Sources: https://www.cnnbrasil.com.br/tecnologia/brasil-tem-15-milhao-de-motoristas-e-entregadores-aponta-ipea/
https://tecnoblog.net/noticias/uber-quase-50-dos-motoristas-e-entregadores-tem-ensino-superior-no-brasil/

Since we started a project from scratch, the first thing we did was desk research and we discovered that:
  • Total workforce: By the end of 2021, Brazil had approximately 1.5 million workers in the passenger transport and goods delivery sector (the so-called gig economy).

  • Breakdown by category:

    • 61.2% (approximately 935,000) worked as app-based drivers or taxi drivers.

    • 20.9% (approximately 322,000) were motorcycle delivery drivers.

    • 14.4% (approximately 222,000) worked as motorcycle taxi drivers.

  • Demographic profile: The vast majority are men (over 90% in most categories).

Ainda, segundo uma pesquisa realizada pelo Datafolha a pedido da Uber, descobrimos:

  • Escolaridade elevada: quase metade dos profissionais (46%) que atuam na plataforma possuem ensino superior completo ou incompleto.

    • Entre os motoristas, o índice é de 51%.

    • Entre os entregadores, o índice é de 38%.

  • Perfil demográfico:

    • Gênero: 92% são homens.

    • Família: 63% possuem filhos.

    • Idade: motoristas concentram-se na faixa de 30 a 39 anos (35%), enquanto entregadores são mais jovens, com 49% entre 18 e 29 anos.

  • Principais motivações:

    • Flexibilidade: ter horário flexível é importante para 71% dos entrevistados.

    • Autonomia: 60% valorizam ser seu próprio chefe.

    • Renda: 66% usam o dinheiro para projetos próprios/familiares e 62% para repor renda perdida na pandemia.

    • Transição: 52% estão na plataforma enquanto buscam um trabalho em tempo integral.

  • Vínculo Empregatício: a maioria (62%) prefere manter o modelo de trabalho por conta própria (autônomo) em vez de ser um empregado registrado (CLT).

  • Previdência e Proteção: embota 71% se preocupem com aposentadoria e proteção de renda, 43% não contribuem para o INSS ou previdência privada, alegando que o custo das mensalidades é muito alto.

  • Expectativa Salarial: os trabalhadores afirmam que só aceitariam um emprego fixo se ganhassem, em média, 43% a mais do que tiram atualmente na Uber.

  • Dados da Pesquisa: o levantamento ouviu 1.583 motoristas e 848 entregadores em todas as regiões do Brasil.

Fontes: https://www.cnnbrasil.com.br/tecnologia/brasil-tem-15-milhao-de-motoristas-e-entregadores-aponta-ipea/
https://tecnoblog.net/noticias/uber-quase-50-dos-motoristas-e-entregadores-tem-ensino-superior-no-brasil/

5.1 Benchmarking
5.1 Benchmarking

Now it's time to learn about the products already on the market and who our competitors will be. To make it easier to understand, I've created a table:

5.2 User Research (drivers)
5.2 User Research (drivers)
After conducting desk research and benchmarking, it was time to do our own user research. Our goal was to discover, from real users, the pain points and opportunities that would influence the overall project roadmap. The research was carried out in two stages: the first was a screener (quantitative) and the second was an interview with 5 users (qualitative).
To achieve the objective, the research needed to identify the project's target audience (motorcycle taxi drivers and app drivers and/or food delivery drivers) and map the users' real needs (financial management, security, vehicle maintenance, etc.).
Assumption: "That professionals working in transportation and/or delivery apps have difficulty managing their own finances and would use an app for this purpose to control and increase their earnings in this activity."
Recruitment criteria:
  • Men who work as app drivers, motorcycle taxi drivers, or food delivery drivers;
  • Up to 40 years of age;
  • 2 from the Southeast, 1 from the Northeast, 1 from the South, 1 from the North, and 1 from the Midwest.
  • With an income of 2 to 5 minimum wages.
We recruit online, from friends and family.
Results
After the research was conducted, the results were compiled in Excel and transformed into graphs:
5.3 Persona
5.3 Persona
Now that the research is complete, we've put together 3 profiles of pernosa for our project:
5.4 User Journey Map
5.4 User Journey Map

We also created a user journey map to illustrate the steps involved in the app registration process, identifying challenges faced by users, potential solutions, and opportunities for our product.

  1. UX Ideation and Decisions

The ideation phase aimed to transform the main research insights into practical and accessible solutions for the daily lives of ride-hailing drivers.
Considering the users' busy routines and the difficulty in maintaining complex financial records, the team opted to start the product as an MVP, focused exclusively on vehicle maintenance expenses. Expenses such as fuel, insurance, and other recurring costs were mapped for future product phases.
This decision allowed for reducing the initial complexity of the experience, validating the product's value with users, and facilitating adoption in daily use.

Key UX decisions:

  1. Focus on a single type of expense in the MVP.
    By concentrating the MVP solely on maintenance, it was possible to create simpler and clearer flows, avoiding information overload and reducing the user's cognitive effort.

  2. Quick and uncomplicated registration.
    The expense entry flow was designed with few steps, prioritizing essential fields to encourage registration even when time is limited.

  3. Clarity in visualizing maintenance expenses.
    The organization of the information aimed to facilitate the reading and understanding of how much has already been spent on vehicle maintenance, helping the user to financially prepare for future expenses, instead of just reacting to unforeseen events.

  4. Encouraging predictability and prevention.
    The experience was designed to encourage continuous monitoring of vehicle maintenance, helping the user to financially prepare for future expenses, instead of just reacting to unforeseen events.
    These decisions guided the definition of the application's main flows and served as the basis for the creation of the wireframes and prototypes presented in the following stages.
  1. Results

The result for the Rota Financeira MVP is a mobile application focused on organizing, predicting, and planning vehicle maintenance costs, helping drivers financially prepare for recurring expenses and avoid unexpected costs.
More than just recording past maintenance, the product acts as a preventative control tool, combining service history, alerts for upcoming maintenance, and a monthly estimate of how much the user needs to set aside to keep their vehicle in good condition.
The experience was designed to adapt to drivers' routines, with fast flows, simple language, and clear visualizations, reducing cognitive effort and facilitating daily financial decisions.

Main elements of the MVP:

  1. Registration and history of maintenance.
    The user can register maintenance already performed, creating a history organized by service type, date, and value. This history serves as a basis for tracking past expenses and feeding future forecasts in the application.

  2. Indication of upcoming maintenance.
    Based on the type of service recorded (oil, tires, filters, belt, etc.), the application indicates when a new maintenance should occur, considering time or mileage, helping the driver anticipate the vehicle's needs.

  3. Monthly financial planning.
    The solution calculates an estimate of how much the user needs to save per month to cover upcoming scheduled maintenance, transforming one-off costs into a more predictable financial plan distributed over time.


  4. Clear visualization for monitoring.
    The application offers simple visualizations of expenses incurred and projected, allowing the driver to understand:
  • how much has already been spent on maintenance;
  • what costs are coming;
  • how these values ​​impact the monthly budget.


  1. Structured basis for product evolution.
    The MVP was structured to allow for future expansion - such as the inclusion of fuel, insurance, and other vehicle costs - without compromising the simplicity of the initial experience or the focus on financial planning.

Initial screens of Rota Financeira, preparing the user to organize vehicle maintenance costs.

Simplified registration process, focused on collecting only the essential information to personalize maintenance alerts and forecasts.

The user logs maintenance performed with few mandatory fields, reducing friction and encouraging continued use of the product.

Based on the driver's history and upcoming scheduled maintenance, the app helps drivers plan their finances by indicating how much to set aside each month.

The screens above illustrate the scope of the MVP, focused on vehicle maintenance and financial planning, validating the product's value before expanding to other types of expenses.