The Rover app connects pet owners with freelance pet sitters, addressing the challenge of pet care when schedules are tight or support is limited. This project aims to enhance Rover's rating system, offering a more accurate platform for evaluating pet sitters and enabling pet owners to find reliable sitters more efficiently.
The current review system relies solely on 1 to 5-star ratings and full-text comments from pet owners on pet sitters' pages. This setup fails to fully reflect pet sitters' performance and discourages owners from leaving reviews, complicating the process of identifying suitable sitters.
Introduced various metrics into Rover's original rating system to better evaluate pet sitters. Extracted these metrics as keywords for search page classification, aiding in quickly finding suitable sitters. Additionally, implemented instant feedback on split tasks, enabling real-time pet monitoring and clear guidance. For those opting to skip the rating system, provided a brief yet interactive questionnaire.
Rover is a popular online platform that connects pet owners with pet care services, including dog walking, pet sitting, and boarding. The platform allows pet owners to find and book trusted pet care services in their area. Pet owners can search for local caregivers, read reviews, and schedule services through Rover's website or mobile app.
Secondary research & Primary research helped me learn about the background knowledge about Rover and other pet sitting services.
Interview both pet sitter and pet owners to identify the specific challenges that users encounter when using Rover.Affinity diagram & Mental model analysis gave me a clearer understanding of the collected data, enabling me to draw well-informed conclusions.
Rover allows pet owners to leave reviews and ratings after a service has been completed. However, the existing Rover rating system lacks clarity and specificity, leaving pet sitters and owners unable to grasp their performance nuances.
As shown in the image, the current review system only provides a rating score from 1 to 5 stars, along with the full-text content of comments left by various owners on each pet sitter's page. The blank field for the full-text comments not only fails to comprehensively display the performance of pet sitters but also makes pet owners reluctant to leave reviews after the service ends.
Whether due to lacking reviews or lengthy comments, this rating system makes it difficult for pet owners to identify acceptable pet sitters during the subsequent matching process.
A single blank field leads users to skip it as they are hesitant about open-ended questions or feel the provided content may not fully convey the situation.
The current interface only displays a 5-star rating and a large amount of text-based comments. However, users prefer to have organized information.
Pet owners prefer instant feedback for their pets' well-being. Pet sitters also wish to have a way to prove they have fulfilled their responsibilities.
Through interviews, the key qualities that hold the most importance for pet owners and pet sitters are identified.