Claimr
Unifying service operations across public booking, admin
management, and field execution
Lead Product Designer
Web+ SaaS + Mobile App
1 Jr. UI Designer, 3 Engineers, Founder
Figma, Linear
Unifying service operations across public booking, admin
management, and field execution
Lead Product Designer
Web+ SaaS + Mobile App
1 Jr. UI Designer, 3 Engineers, Founder
Figma, Linear
Claimr is a comprehensive service management platform designed to streamline operations for service-based businesses.
The goal of the project was to design a scalable, intuitive, and operationally efficient product that reduces manual processes, improves service delivery speed, and enhances visibility across teams.
Claimr transforms traditional service operations into a streamlined, technology-enabled ecosystem that improves efficiency, accountability, and customer satisfaction.
A centralized tool for real-time job monitoring
Smart scheduling and technician assignment
Customer and service history management
Mobile-first experience for field staff
Centralized Operations Management
Transparent billing
Service businesses (e.g., home services, maintenance, repairs) were
relying on disconnected
tools —
calls, chats, spreadsheets, and
fragmented apps — to manage bookings, assign jobs, track
progress,
and
handle billing.
Missed or delayed
service bookings
Ambiguous job
ownership
Lack of tracking for
admins & field staff’s
Manual follow-ups and
invoice errors
Build a unified system that connects public users, admin
operations, and
technicians in a synchronized workflow to
reduce friction and operational overhead.
I led the complete product design process for Claimr, transforming a complex service management workflow into a streamlined, scalable digital platform.
From mapping user journeys and defining system architecture to building a robust design system and crafting responsive dashboards, I ensured the product delivered operational clarity for admins and simplicity for technicians — while maintaining a seamless booking experience for end users.
Operational clarity
Workflow efficiency
Scalable system design
Cross-role usability consistency
Stakeholder interviews with operations teams
User interviews with technicians and service staff
Analysis of existing tools & logs
Struggled with assigning jobs manually and tracking technician availability
Needed a mobile-first view of jobs, routes, and check-in/check-out tasks
Wanted easy booking and real-time status updates without calling support
From sketches to flow diagrams to high-fidelity screens - here’s
how the experience evolved
through iterative design and user
feedback
I mapped the complete service lifecycle and identified critical transition moments where clarity, accountability, and data visibility were most needed. The flow diagrams were not just structural representations, but problem-solving tools.
Each stage — Public Booking, Admin Assignment, Technician Execution, and Invoice Closure — was intentionally structured to reduce ambiguity and create smooth handoffs between stakeholders.
This map became our core directional artifact
Early wireframes for booking screens, admin dashboard, and technician task view. We explore multiple layout directions focusing on clarity, role context, and task-based flows.
For the Technician Mobile App, we introduced service-specific checklists to standardize task execution across different service categories. Each service type includes a predefined checklist to ensure consistency, reduce errors, and maintain quality standards in the field.
We designed a unified platform for every user.
Claimr brings together customers, administrations, and technicians
in a seamless workflow with
purpose-built interfaces for each role.
Integrating role-based priorities early prevents usability conflicts later. Understanding each user's specific needs from the start saved countless revision cycles.
Real-time updates (e.g., job status, technician location) greatly reduce support overhead.
Field teams need contextual actions, not just full dashboard mobile design must be task-centric.
Future improvements can include AI-based schedule optimization and automated ETA tracking.