Opportunity Mapping & Survey
1. From our interviews, we found that dog owners often feel bored because daily walks are too repetitive.
2. For those who don’t have time or suddenly need help, current dog-walking services are often hard to use, too expensive, or not trustworthy.
Through our research and analysis, we found that if we give dog owners the opportunity to become dog-walking service providers (67% of urban dog owners aged 20–35 said they would be willing to do so in our survey), we can effectively solve Problems. This insight led to the concept of Dogpool — a community-based solution where nearby dog owners can help each other.
Notion
We followed a user-centered approach, grounding each step in real user needs. Over 10 weeks, our cross-functional team collaborated across research, design, testing, and iteration.
Color palette & Font
Designed for an AI-powered dog walking app, this design system focuses on creating a trustworthy and approachable experience. Through a warm color palette, soft typography, and clear interactive elements, it supports pet owners with a friendly yet professional interface optimized for mobile use.
Interview & Mental Model & User flow
Mental Model
Design Gap / Opportunity in IA:
1. Prioritization of Screens: Map emerges as the primary screen for most users, serving as the immediate, immersive entry point for starting walks and managing real-time interactions. Dashboard acts as a secondary, supporting hub for data visualization, achievement tracking.
2.Role-based Interface Toggle with Task-Driven Visibility: The Dashboard & Profile screens should use role toggles to allow users to seamlessly switch between owner, walker, and requester roles. The Map IA should implement Progressive Disclosure (also known as dynamic visibility) to show only features relevant to the current role and tasks. For example, if the user has no active dog-walking requests, the Dashboard should not display request-related sections, but instead provide a clear prompt or placeholder to guide the user to their next action. This not only aligns with user expectations for personalized, efficient workflows but also reduces cognitive load.
User Flow
We invited 36 users, including 10 new and 26 returning users, to participate in this round of testing, focusing on the entire journey from app entry to payment completion. Using the Lookback platform, we conducted remote usability sessions and captured user interactions and feedback. Each participant experienced both the original and the improved version. On average, the updated version reduced payment time by 4.6 minutes, significantly enhancing conversion efficiency and user satisfaction.
Sitemap & Navigation System
We invited 36 users, including 10 new and 26 returning users, to participate in this round of testing, focusing on the entire journey from app entry to payment completion. Using the Lookback platform, we conducted remote usability sessions and captured user interactions and feedback. Each participant experienced both the original and the improved version. On average, the updated version reduced payment time by 4.6 minutes, significantly enhancing conversion efficiency and user satisfaction.
Hi-Fi Prototypes
We invited 36 users, including 10 new and 26 returning users, to participate in this round of testing, focusing on the entire journey from app entry to payment completion. Using the Lookback platform, we conducted remote usability sessions and captured user interactions and feedback. Each participant experienced both the original and the improved version. On average, the updated version reduced payment time by 4.6 minutes, significantly enhancing conversion efficiency and user satisfaction.
KJ Analysis
While the floating cart button was designed to support faster decision-making through easy product comparison, its actual impact on user behavior is still inconclusive.
We plan to roll out the validated design improvements to a larger user base and conduct large-scale A/B testing to quantitatively measure the impact on conversion rates.
