Dog Behaviorist Finder

Case study

Project Overview

I led the UX design, research, and analysis for a platform that helps dog owners find qualified behaviorists for in-person or online sessions — a service that didn’t exist on the Polish market before. I was supported by two UX designers who assisted with research, market analysis, and user testing.

My mission: to create a trustworthy, intuitive platform that makes it easy for users to find the right behaviorist and book sessions with confidence. The challenge was addressing the long-standing problem of limited information about specialists and no reliable way to evaluate them.

Our solution introduced features such as a rating and recommendation system, helping users make informed choices while simplifying the entire search and booking process.

Project length: 9 months

Understanding the Problem

To understand the challenges dog owners face when finding a behaviorist, we designed a survey and conducted live
and online interviews. We spoke with 10 people in each group, reaching a total of 30 participants.

The research revealed recurring issues:

difficulty finding qualified specialists
limited ways to evaluate their expertise
uncertainty about booking sessions.

Collecting this rich dataset allowed us to identify patterns in user needs and pain points, forming a solid foundation for designing a solution that truly addresses the problem.

Designing Flows & Platform Architecture

Based on the insights from our research, I mapped out the key user journeys and designed the platform architecture
to address the core problems. The main flows included searching for a behaviorist, evaluating their qualifications through ratings and recommendations, and booking sessions, either online or in-person.

I structured the platform to make these tasks intuitive and frictionless, ensuring users could move seamlessly from discovery to booking. The architecture also accounted for scalability, so the platform could grow with more specialists and additional features in the future.

Wireframes & First User Tests

Once the flows and platform architecture were defined, I created wireframes to visualize the key screens and interactions. These low-fidelity designs allowed us to focus on functionality and layout without getting distracted by visual styling.

We then tested the wireframes with some the 30 participants we interviewed at the beginning, gathering feedback on usability, clarity, and ease of finding the right behaviorist. Based on their input, we iterated quickly, refining navigation, search filters, and the booking process to ensure a smoother and more intuitive experience.

UI Design, Final Tests & Iterations

With validated wireframes in hand, I moved into high-fidelity UI design, focusing on clarity, trustworthiness, and ease of use. The interface was designed to make key actions:

searching
evaluating
booking a behaviorist

Simple and intuitive, while the rating and recommendation system was highlighted to build user confidence.

We conducted final tests with users, gathering feedback on visual hierarchy, readability, and overall experience. Based on their insights, we made targeted refinements
to navigation, layout, and key interaction points, resulting
in a polished platform that meets user needs effectively
and provides a seamless experience from discovery
to booking.