DataPet app icon

DataPet

The app for dog and cat owners who want to contribute to the health of their pets

Research Web Design
three iphones show datapet app screenshots

Context

Design Thinking

We use design thinking to deeply understand user needs, generate innovative solutions, and iterate quickly to create meaningful and user-centered experiences. This approach promotes creativity, empathy, and collaboration, eventually leading to the development of impactful solutions that address real user challenges.

Double diamond diagram

Nowadays

We find ourselves in a situation where, due to the pandemic, the number of pets in households has increased (44% for dogs, 35% for cats*). This has opened up a range of opportunities in the pet sector, allowing us to explore and propose solutions to the needs faced by these pet owners.

Chart of number of pets in Spain from 2017 to 2020 *Data from ANFAAC 2020 (Spanish Association of Manufacturers of Pet Food).

Research

Discovery

The aim was to gather vital information about dog and cat owners, enabling the identification of their needs, behaviours, and frustrations. This effort was geared towards understanding them, discerning patterns in their behaviour, and identifying opportunities for improvement.

Archetype

We did some outreach interviews to identify potential DataPet users and to empathise with them, avoiding biases from our perspective. Therefore, We identified the archetype for DataPet "the caregiver" , individuals committed to their pet's health and dedicated to positively transforming it. Additionally, we recognised the importance of including health professionals, particularly veterinarians, although they are not the primary users of the platform.

Empathy map of the archetype the caregiver

Surveys and Interviews

We collected responses from caregivers through 81 surveys and 15 interviews, and from veterinarians through 7 interviews. These insights emerged from the data:
From caregivers:
  • 97% want to manage their pet's health digitally.
  • 75% forgets or are uncertain about the treatments to administer.
  • 45% don't keep their pets' habits up to date.
From veterinarians:
  • 87% assert that if owners had an app to manage health, they would save additional work.
  • 35% Say that owners forget to bring the veterinary record to the appointment.
List of percentages for the insights gathered from caregivers List of percentages for the insights gathered from veterinarians

Business

Benchmark

Through a market study, we were able to identify where existing applications stood and determine where we wanted to position ourselves against the competition. We aimed to offer an app with a better UX/UI and offer more features. Because most of them weren’t intuitive and had few features to solve specific user needs.

Matrix of main competitors of DataPet

Business Model Canvas

A business model canvas provides a concise overview of our business strategy, including our value proposition, target market, revenue streams, and key partnerships. It helps us communicate our model clearly, identify opportunities for improvement, and align our team around common goals. We identified as key partners the veterinary database software. As revenue streams to ensure the sustainability of the app, DataPet would offer a free plan with basic features and a monthly or annual subscription, providing additional valuable functionalities for users.

Business model canvas of DataPet

App Design

Focus Group

Focus groups allowed us to gather valuable insights from our users, ensuring that our app suits their needs.

MVP

With the feedback obtained from users we decided to add 6 features for the first version:

  • Agenda
  • Digital Veterinary Card
  • Medical History
  • Weight management
  • Veterinary 24h
  • Calendar synchronisation

Agile

We'll apply agile over 2 sprints of 3 weeks, adding value at every stage with an iterative, adaptive approach.

Design Concept

For the design concept we want to reflect DataPet's personality and values. We portray ourselves as familiar, approachable, and professional.

Landing

To introduce ourselves, we'd launch a Landing Page where we outline the benefits of DataPet. Finally, we provide an information box on the status and evolution of DataPet, inviting users or interested individuals to collaborate altruistically by sending us an email. Additionally, to generate interest, we have a blog with news, curiosities, and tips about pets.

DataPet landing page

Information Architecture & Card Sorting

We structured the information architecture to ensure intuitive navigation and organisation of our platform's content. Then we tested it with users by doing a card sorting session.

Wireframes

We organised the content within wireframes. These allowed us to conduct initial user tests and receive usability feedback. We iterated until reaching the desired result.

Design System

We develop a design system to establish consistency and coherence across our platform. This system helps us to focus on design decisions instead of UI components, also facilitates collaboration among team members, and enhances brand recognition and trust among users.

Result

Prototype

Play the prototype 📱

Next Steps

  • Continue testing and validating design hypotheses.
  • Refine the prototyping and design to make it visually appealing and inviting to use, aiming to attract fans rather than just users.
  • Explore further into inbound marketing, finding partners and seeking funding opportunities.