BrightJump
by ADP
Introduction & Context
Project Overview
Modernize and enhance BrightJump by ADP, a comprehensive career transition and outplacement platform, to deliver a seamless, AI-powered job search and resume-building experience. The modernization aimed to improve usability, integrate advanced AI features for resume optimization, and expand support for separated employees navigating career transitions.
Background
BrightJump by ADP is a career transition platform designed to support employees facing job displacement by providing tools such as ATS-friendly resume building, job search coaching, interview preparation, and personalized job alerts. It serves employers who want to offer outplacement services to separated employees, helping maintain brand reputation and support workforce transitions.
Business Goals and Objectives
Enhance user engagement by simplifying resume creation and job search management.
Integrate AI-driven tools to optimize resumes for applicant tracking systems (ATS).
Provide personalized career coaching and learning resources.
Automate enrollment and management to reduce administrative overhead for employers.
Research & User Insights
Target User Personas
Separated Employees seeking quick, effective tools to rebuild their careers.
Job seekers aiming to enhance their resumes, practice interviews, and track their applications.
HR and Outplacement Managers at client companies managing employee transitions.
User Needs, Pain Points, and Motivations
Need for easy-to-use, ATS-compliant resume-building tools that increase interview chances.
Desire for personalized job recommendations and alerts from millions of listings.
Motivation to improve interview skills and negotiation strategies through coaching.
Pain points include anxiety during job transitions and a lack of centralized career resources.
Competitive Analysis
Competitors offer resume builders and job boards, but often lack integrated AI optimization and live coaching.
BrightJump’s unique value lies in combining AI-powered tools with human coaching and employer integration.
Design Process & Methodology
Approach and Design Principles
User-centered design focusing on simplicity, clarity, and empowerment during career transitions.
Emphasis on AI integration to provide actionable, personalized feedback.
Responsive design for accessibility across devices.
Key Steps
Conducted stakeholder interviews with HR managers and separated employees.
Developed personas and journey maps highlighting emotional and functional jobs-to-be-done.
Iterated designs based on usability testing and feedback.
Tools and Platforms
Figma for design and prototyping.
AI technologies for resume keyword analysis and job matching.
Solution & Implementation
Final Design Concepts
Intuitive ATS-friendly resume builder with AI-driven keyword recommendations and formatting checks.
Job search dashboard organizing applications, alerts, and coaching sessions.
Integrated cover letter generator ensuring keyword consistency with resumes.
Automated onboarding for separated employees via employer portals.
Interaction Flows and User Journeys
User signs up via employer invitation, completes profile, builds optimized resume.
System analyzes resume against job descriptions, suggests improvements.
User applies to jobs, tracks applications, and schedules coaching sessions.
Live coaching sessions and self-paced learning modules support interview and negotiation skills.
Accessibility and Usability Considerations
WCAG 2.1 AA compliance with keyboard navigation and screen reader support.
Clear visual hierarchy and consistent UI patterns to reduce cognitive load.
Mobile-friendly design for access anytime, anywhere.
Testing & Iteration
Usability Testing Methods
Remote moderated sessions with separated employees, job seekers, and HR users.
A/B testing.
Accessibility audits and performance testing.
Findings and Changes
Simplified resume editing interface based on user feedback.
Enhanced AI feedback explanations to increase user trust and clarity.
Improved notification system for job alerts and coaching reminders.
Validation Against Goals
Increased user satisfaction scores and higher resume completion rates.
Reduced support requests due to clearer guidance and automation.
Positive employer feedback on streamlined enrollment and management.
Results & Impact
Enabled thousands of separated employees to create ATS-optimized resumes quickly.
Facilitated access to over 3 million job listings with personalized alerts.
Delivered measurable improvements in job interview success rates through coaching.
Strengthened client employer brand reputation by providing compassionate outplacement support.
Additional Elements
Challenges and Solutions
Balancing AI automation with human coaching to maintain personalized support.
Ensuring data privacy and compliance with global regulations.
Designing for users with varying digital literacy and emotional states during job transitions.
Personal Contributions and Team Collaboration
Collaborate with UX research, led design strategy, Design System implementation, and guidelines.
Collaborated closely with AI developers, career coaches, and client HR teams.
Facilitated workshops to align product features with user needs and business goals.