Web App Design

2020

Pawgo

Pawgo

Streamlining scheduling and managing admin workspace

Streamlining scheduling and managing admin workspace

Role

Product Designer

Product Designer

Context

Pawgo, a rapidly expanding startup, sought to revolutionize mobile grooming services.

Pawgo, a rapidly expanding startup, sought to revolutionize mobile grooming services.

It faced the challenge of scaling its web app for other businesses and individual groomers; our goal was to overhaul the user experience to facilitate this growth.

Dive Deeper

User Research and Observation

User Research and Observation

Our initial step involved diving deep into user research. We uncovered crucial insights by interviewing users, admins, and managers and observing product interactions. This process highlighted user pain points and preferences, laying the foundation for our design approach.

95%

95%

Interviews with eight admins revealed that 95% found the existing scheduling system cumbersome.

Interviews with eight admins revealed that 95% found the existing scheduling system cumbersome.

Interviews with eight admins revealed that 95% found the existing scheduling system cumbersome.

75%

Analysis of user behavior on the existing platform showed that 75% of users were frustrated mid-way through the booking process, leading to a streamlined redesign.

Analysis of user behavior on the existing platform showed that 75% of users were frustrated mid-way through the booking process, leading to a streamlined redesign.

Analysis of user behavior on the existing platform showed that 75% of users were frustrated mid-way through the booking process, leading to a streamlined redesign.

70%

Usability testing with ten users showed that 70% struggled with finding specific services, leading to the implementation of better sorting and filtering.

Usability testing with ten users showed that 70% struggled with finding specific services, leading to the implementation of better sorting and filtering.

Usability testing with ten users showed that 70% struggled with finding specific services, leading to the implementation of better sorting and filtering.

8 Mins

Observation sessions indicated that users took an average of 8 minutes to complete a booking on the old interface.

Observation sessions indicated that users took an average of 8 minutes to complete a booking on the old interface.

Observation sessions indicated that users took an average of 8 minutes to complete a booking on the old interface.

8 Users

Eight potential users highlighted a need for clearer navigation, influencing the introduction of an intuitive menu layout.

Eight potential users highlighted a need for clearer navigation, influencing the introduction of an intuitive menu layout.

Eight potential users highlighted a need for clearer navigation, influencing the introduction of an intuitive menu layout.

Define

Personas and Their Journeys

Personas and Their Journeys

Armed with these insights, we crafted detailed personas to represent our diverse user base. These personas and user journey maps helped us effectively anticipate and address user needs.

HMW Statement

How might we help users prioritize orders to prevent unassigned orders, which can lead to cancellation and dissatisfaction, work more efficiently, and help businesses expand the platform to freelance groomers and small businesses?

How might we help users prioritize orders to prevent unassigned orders, which can lead to cancellation and dissatisfaction, work more efficiently, and help businesses expand the platform to freelance groomers and small businesses?

Solution Ideation

Exploring Different Solutions

Exploring Different Solutions

The primary design challenge was balancing information richness with simplicity.

We minimized scrolling through tabs to address this and implemented clear sorting and filters.

A key feature introduced was an order prioritization system. This system allowed users to organize and prioritize grooming appointments efficiently, significantly reducing scheduling errors.

Amidst a tight launch deadline, our collaborative design approach and rapid iterations based on user feedback refined our designs, ensuring they met the users' needs while aligning with business goals.

Solution

Dashboard

Dashboard

Streamlined Information Display

Key metrics like new customers, services completed, and sales are presented with clear visuals, allowing for quick comprehension.

Simplified Navigation

A more intuitive sidebar allows users to access different sections with fewer clicks, saving time and reducing cognitive load.

Dynamic Scheduling Tool

An interactive calendar provides a real-time view of groomer schedules, enabling users to prioritize orders and avoid double-booking, all within a user-friendly interface.

Solution

Schedules

Schedules

Unassigned Customer Queue

A dedicated panel for unassigned customers ensures that no appointment goes unnoticed, and the best-matched groomers are suggested for efficiency.

Enhanced Filtering

Users can filter schedules by groomer, state, location, and service, allowing for quick and targeted views.

Map Integration

The full map view provides a geographical perspective of appointments, allowing for optimized routing and assignment.

Solution

Customers

Customers

Consolidated Customer Views

A unified profile section where users can see personal details, pet information, appointment history, and notes in one place.

Integrated Communication

A direct messaging feature is now embedded within the customer's profile, enabling immediate contact and enhancing the customer service experience.

Other solutions

Other solutions

Impact

Key Results

Key Results

90%

Post-launch, a survey of 50 users indicated a 90% satisfaction rate with the new order prioritization feature, validating its effectiveness.

60%

A/B testing of the dashboard layout with ten users resulted in a 60% faster navigation to critical features.

80%

After introducing the order prioritization feature, user testing with eight admins showed an 80% decrease in scheduling errors.

60%

Feedback from weekly user test sessions led to three major iterations of the interface, each enhancing user flow and reducing task completion time by an average of 60%.