PAWSH

Creating an Experience for all Dog Owners to be Able to Locate Consolidated Dog Care Information

Role

  • UX Designer
  • UX Researcher

Tools

  • Figma
  • Balsamiq
  • Mural
  • Google Survey
  • Zoom
  • Pen & paper

Duration

  • 4 Months

What is PAWSH?

PAWSH was a school project for out INF352 course. In this project we had to think of a problem that needed a solution. Through our research we found that since the COVID-19 Pandemic started that has been a large increase in dog adoptions. We wanted to create an app that helped new and experienced dog owners to be able to locate consolidated dog care information such as physical needs, training, food, vaccination and dog parks.

What was our Process?

Discover & Interpretation

Assumptions

New dog owners don't completely understand what they need to know to properly care for their pet.

Claims

New dog owners want a simple system that gives them an appropriate knowledge regarding dog care.

Primary Research

Survey

For the survey we created a questionnaire to gather both quantitative and qualitative data. We posted the survey onto multiple platforms so that we can have a diverse response. Platforms like Facebook, Discord, Instagram and Reddit, especially dog related Subreddits helped.
The survey remained open for 6 days and a total of 232 responses were gathered.
Responders had the option to provide their email and name if they would like to participate in an interview.

This was one of our many questions of the survey. In this question we asked new dog owners and long term dog owners what sources they use when conducting research. A total of 211 participants responded.

This is another of our many questions asked in the survey. In this question we wanted to focus on Future dog owners and see what sources they would use when conducting their research. A total of 18 participants responded.

Interview

We used the survey to find eligible participants that would take part in our interview. We had a total of 70 participants interested in taking an interview with us, but due to time restrictions we chose to conduct 10 interviews via Zoom.

We conducted interviews with different user groups. From long-term dog owners, to short-term dog owners, new dog owners and future down owners.

Affinity Map

Key Themes

  • Information Overload
  • Feeding Troubles
  • Want for Calm Temperament
  • Tracking a Dogs Needs
  • Adjusting to a Home
  • Groomers
  • Pet Stores
  • Vets

Persona

Empathy Map

The Empathy Map helped us understand how the user feels, thinks and does based on their situation of being surprised with a puppy. Some Key Themes Include:

  • Research
  • Taking Care of a Puppy
  • Concerns
  • How to Train Puppy
  • Best Vets
  • What to Buy

Journey Map

The Journey Map helped us create a scenario which Nancy would follow in the steps to take care of her dog. These steps include New Dog, Research, Prepare, Train and finally Taking Care of Dog. As a group we would then vote on points of opportunities to see which features are will be important. Research and Training would be the main focus.

Ideation

Need Statements

Nancy needs to train her pet so he won't misbehave while she's working.

Nancy needs to find a reliable pet store so that she can buy supplies for her pet.

Nancy needs a way to find a community so that she can interact and learn from other pet owners.

Some Ideas

Idea Prioritization Grid

With the Idea Prioritization Grid we would create more ideas and absurd ideas. Then we vote on which ideas have the most feasibility and impact to solve for the problem. We would focus on Training Reminders, Pet Owner Community Space and a Map.

Experimentation

LowFi Wireframes

We began creating paper sketches for our main features which were: a Community group, Map and Training, with the addition of an onboarding and home screen.

Onboarding and Home

Map

Storyboard

The rest of the Lowfi sketches can be found in the storyboard where we mapped the user journey, identified pain points and annotated the sketches with explanations.

Usability Testing

Using the Lowfi Storyboard we would test two participants that are dog owners, one who recently got a puppy and the other who is a long term dog owner.

Things that Worked

  • Integrated Training Calendar
  • Carousal of Map to find Groomers, Vets, Pet Stores, etc.
  • Curated content of the Dog Training
  • Reminders of Dog Training
  • Navigation

Things that Need Change

  • Option to input dog breed from drop-in menu. Lots of dogs are not pure bred
  • Training Features needs More Visuals
  • Mapping Should allow to search by location
  • Overview of location to include store address, number, website, etc. for more information
  • Be able to post stories and create groups

MidFi Wireframes

Using the feedback we got from the LowFi Usability Test, we would make changes to our wireframes and create a Mid Fidelity prototype and Storyboard.

MidFi Storyboard

MidFi Prototype


Using the wireframing and prototyping tool Balsamiq, the team would create a clickable prototype to show users how the app would feel when they use it. Feel free to try the Prototype by clicking the image on the right!

Evolution

Lessons Learned

Communication

Working in a remote environment was different and a little difficult. Misunderstandings and gaps in communication can arise so it is important to communicate with other group members for problem solving.

Organizatation

Organizing our thoughts and ideas are very important when presenting to an audience. it is always important to keep the information relevant and not to go on tangents. Making sure our artifacts are organized and legible so that everyone is able to read and evaluate.

Next Steps

Usability Testing

Since timing was a large issue in this project, we hope to get more usability testing done for the MidFi Prototype. This way we would be able to get feedback from a large group of users that are dog owners. Then integrating this feedback and creating our final HighFi Prototype.

Iterations

Since we had low number of feedback from the LowFi Wireframe, we hope to create more iterations and get more feedback from users.

If You Would Like to Hear More About this Project:

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