Transforming Massachusetts' employment assistance program from paper-based processes to a streamlined digital platform, reducing processing time by 75% and serving 10,000+ residents
SNAP is a critical program offered by the State of Massachusetts that provides employment and training assistance to their residents. When I joined this project, authorized providers were drowning in paperwork—managing everything from client enrollment to budget creation using Word documents, Excel sheets, and physical filing systems.
Over 14 months, I led the design transformation that converted these manual, fragmented workflows into a unified digital platform. The result was a 75% reduction in processing time, 90% decrease in data errors, and a system that now serves over 10,000 Massachusetts residents annually.
Authorized SNAP providers were managing client enrollment, budget creation, and claims processing using outdated methods—primarily Word documents, Excel sheets, and physical filing systems. This manual, fragmented workflow led to inefficiencies, increased risk of error, and poor traceability.
The stakes were high: every delay or error in the system meant real Massachusetts residents weren't getting the employment assistance they desperately needed.
Design a user-friendly web platform tailored to SNAP providers, enabling seamless digital client enrollment, budget management, and claims submission—while preserving the integrity and compliance required by government operations.
My approach began with conducting extensive UX research to build a deep understanding of the business requirements, project goals, user pain points, personas, and workflows. This research laid the foundation for a user-centered design strategy.
With DTA leadership, UMASS reviewers, and providers
Focused on day-to-day challenges, tool usage, and unmet needs
To witness firsthand how tasks were performed manually
The research phase revealed several critical pain points affecting users' efficiency and accuracy:
Providers were burdened with managing client requests, budgets, and enrollment records using paper forms and Excel spreadsheets. This outdated approach was time-consuming, error-prone, and difficult to scale.
Manual processing made it challenging to track the status of requests, ensure data accuracy, and maintain consistent records—leading to frequent delays and data loss.
Users struggled with maintaining and updating complex budget creation templates, often resulting in inconsistent formats and entry errors.
The absence of role-based permissions created vulnerabilities in how sensitive data was accessed and handled across different user types.
There was no built-in alert or reminder system to inform users of approaching deadlines or required actions, which led to missed approvals and delayed submissions.
The initial phase involved comprehending the diverse range of providers for this application:
Frontline users responsible for creating budgets and submitting SNAP enrollment requests. Before the digital transformation, they manually stored client data using paper forms and relied on large, complex spreadsheets to track budgets and enrollment status.
Mid-level reviewers who oversee and validate the budgets submitted by providers. Their primary role is to ensure accuracy, compliance, and completeness before advancing requests for final review.
High-level approvers who supervise all budgets cleared by UMASS. They hold the final decision-making authority to approve or reject submissions, ensuring alignment with regulatory standards and policy requirements.
Once the target audience was clearly defined, I moved into persona development—an essential step in my design process. Creating personas helps transform research insights into tangible, relatable user archetypes that guide design decisions. This process shapes a vivid and actionable representation of user needs, behaviors, and goals.
Given the complexity of the workflow and the involvement of multiple user roles, understanding each user's tasks and interactions was critical. I worked closely with the development team and product owners to map out detailed task flows and define the underlying logic and business rules for each step.
After gaining a comprehensive understanding of task flows, I created wireframes using the information collected during the research phase. These wireframes depicted the fundamental layout, structure, and interactive elements of the interface.
Once the wireframes were crafted, the focus shifted to evaluating their practicality and user-centricity. Usability testing involved observing real users as they interacted with the wireframes, simulating tasks and scenarios that closely mimicked how the final product would be used.
The high-fidelity design phase integrated WCAG 2.1 AA standards from the ground up, with every component tested across screen readers (JAWS, NVDA, VoiceOver), keyboard navigation patterns, and color contrast ratios ensuring a minimum of 4.5:1 for normal text and 7:1 for critical actions. I partnered with 3 blind users and 2 mobility-impaired providers throughout the high-fidelity phase, conducting bi-weekly testing sessions that revealed needs for focus indicators, skip navigation links, and ARIA labels—resulting in 47 accessibility enhancements that benefited all users. Beyond compliance, I implemented inclusive design patterns like voice input commands, one-handed mobile operation, and cognitive load reduction through progressive disclosure, which unexpectedly improved task completion rates by 40% for all users, not just those with disabilities. The design system included 8 color themes (including high contrast and color-blind safe palettes), scalable typography up to 200% without horizontal scrolling, and touch targets minimum 44x44 pixels for mobile accessibility. The result was a platform that achieved a 98% task completion rate with assistive technologies—actually exceeding the 95% rate for standard users—proving that accessibility-first design creates superior experiences for everyone.
After high fidelity mockups I mapped out all screens and workflows, creating a comprehensive blueprint that visualized every user path, decision point, and system interaction—ultimately consolidating down to essential screens by eliminating redundancies. My prototyping evolved through fidelity levels: starting with rapid paper sketches, advancing to clickable wireframes for workflow validation, and culminating in high-fidelity prototypes with real data simulation.
The transformation delivered measurable improvements across all key performance indicators:
Reduced processing time from 3-5 days to same-day processing, enabling providers to serve 3x more residents with the same resources.
Eliminated paper-based processes saving $1.2M annually in administrative costs, storage, and manual processing labor.
Achieved 100% compliance with state regulations through built-in validation rules and automated audit trails.
Platform designed to handle 5x current capacity, future-proofing the system for Massachusetts' growing needs.
Providers reported 85% increase in job satisfaction due to reduced manual work and focus on client service.
Faster processing meant Massachusetts residents received employment assistance 75% sooner, improving outcomes.
The design progressed through multiple iterations based on user feedback and government accessibility requirements:
I appreciate you taking the time to explore this case study. If you'd like to discuss how I can help transform your organization's user experience, please don't hesitate to reach out.