AI-POWERED TRAINING APP

SkillsTrax: AI-Powered Training & Onboarding Platform

COMPANY

SkillsTrax

ROLE

UX Designer

EXPERTISE

UX/UI Design

TEAM

1 UX Designer,
2 UI Developers,
1 AI Engineer,
1 Product Manager

Weather app image
Weather app image
Weather app image
Weather app image
Weather app image
Weather app image

Project Description

Project Description

Project Description

On-the-job training, task & efficiency management technology for instant access to learning materials and answers.

The newly onboarded worker struggles to complete a specific activity without support, risking decreased productivity, increased frustration, unsafe conditions, and rising business costs.

Timeline

January - April 2021 (4 months)

The Challenge

The Challenge

The Challenge

The goal was to create an intuitive platform that would increase engagement in new employees, streamline the training process, and connect learning directly to career advancement. SkillsTrax approached me to design their corporate training platform that focused on supporting clients that suffer from:

  • Low completion rates: Only 37% of employees completed assigned training

  • Outdated training techniques: Employees retain little of the training reviewed during one week of training videos.

  • Poor user experience: Existing training method had a 72% drop-off rate

  • Disconnected career development: No connection between training and career progression

  • Difficult content discovery: Users couldn't easily find relevant training materials

  • Limited tracking capabilities: Managers lacked visibility into team development

Discovery & Research (4 Weeks)

Discovery & Research (4 Weeks)

Discovery & Research (4 Weeks)

User Research

I conducted a comprehensive research program including:

  • 5 interviews with employees across different roles and experience levels

  • 3 interviews with managers and training administrators

  • Online glassdoor, indeed, Reddit, break room.cc (etc.) reviews of onboarding with companies similar to our ideal customer

Competitive Analysis

I analyzed 4 competing platforms to identify opportunities for differentiation and best practices in the training space.

Personas & Journey Maps

I developed 3 detailed user personas and corresponding journey maps:

  • New Hire Nathan: Focus on onboarding efficiency

  • Manager Maria: Emphasis on team oversight and development planning

  • Career-Changer Carlos: Centered on skill development for internal mobility

Key Insights

My research revealed several critical needs:

Users wanted personalized learning paths based on their career goals

Managers needed better visibility into team skills development

Content discoverability was a major barrier to completion

Mobile access was essential for busy professionals

Recognition and gamification could significantly increase engagement

Design Process (6 Weeks)

Design Process (6 Weeks)

Design Process (6 Weeks)

Ideation & Information Architecture

I began by restructuring the entire information architecture:

  • Created a card sorting exercise with 12 participants

  • Developed a new taxonomy for training content

  • Sketched multiple navigation concepts

Low-Fidelity Wireframes

I developed wireframes for key user journeys:

  • Onboarding flow

  • Training discovery and recommendations

  • Progress tracking dashboards

  • Career path planning tools

  • Manager oversight features

Mid-Fidelity Prototyping

Based on stakeholder feedback, I created interactive prototypes:

  • Used Figma to build clickable user flows

  • Conducted 8 usability testing sessions

  • Identified and resolved 12 key usability issues

  • Refined the AI recommendation engine interface based on user feedback

High-Fidelity Design

I crafted the final UI design:

  • Developed a clean, accessible interface following WCAG 2.1 guidelines

  • Created a component library for consistent implementation

  • Designed responsive layouts for desktop, tablet and mobile experiences

  • Incorporated subtle gamification elements to increase engagement

Usability Testing & Iteration (3 Weeks)

Usability Testing & Iteration (3 Weeks)

Usability Testing & Iteration (3 Weeks)

Testing Methodology

I designed and conducted multiple rounds of testing:

  • 10 moderated usability testing sessions with target users

  • 2 rounds of unmoderated testing using UserTesting.com

  • A/B testing of two different recommendation interfaces

  • Accessibility audit with screen reader users

Key Iterations

Based on testing results, I made several critical improvements:

  • Simplified the career path creation workflow (reduced steps from 7 to 3)

  • Redesigned the progress visualization for better comprehension (83% improvement in task success)

  • Enhanced the search functionality with filters and natural language processing

  • Added contextual help features for complex tasks

Client Delivery & Launch Preparation (2 Weeks)

Client Delivery & Launch Preparation
(2 Weeks)


  • Created comprehensive handoff documentation for the client's internal team

  • Developed training materials for administrators and power users

  • Built a phased implementation plan prioritizing highest-impact features

  • Designed a launch campaign to drive initial adoption

Solution

Solution

Solution

The resulting AI-powered training app offers a seamless onboarding experience, allowing individuals and businesses to effortlessly manage the needs of their customers without extra overhead for training.

AI-Powered Recommendations

The platform uses machine learning to suggest relevant training based on:

  • Career goals and interests

  • Current skill gaps

  • Learning patterns and preferences

  • Manager recommendations

  • Organizational priorities

Career Path Planning

Users can visualize and plan their professional development:

  • Interactive career path visualization

  • Skill gap analysis

  • Customizable development plans

  • Direct connection between training and advancement opportunities

Progress Tracking

Comprehensive dashboards provide visibility into development:

  • Real-time completion statistics

  • Skill acquisition visualization

  • Certification tracking

  • Team progress for managers

  • Recognition and achievement features

Intelligent Search

Enhanced discoverability through:

  • Natural language search capabilities

  • Contextual filtering options

  • Content tagging and metadata

  • Search by skill, role, or location

Results & Impact

Results & Impact

Results & Impact

Here, the outcomes and achievements of the project are highlighted, including user feedback, adoption rates, and industry recognition.

Measurable Outcomes


  • Increased Completion Rates: Training completion improved from 37% to 82%

  • Enhanced Engagement: Average time spent on the platform increased by 215%

  • Improved Satisfaction: User satisfaction scores rose from 2.4/5 to 4.7/5

  • Better Discovery: Time to find relevant content decreased by 68%

  • Higher Retention: Companies using SkillsTrax saw a 23% decrease in turnover among engaged users

Business Impact


  • Platform was successfully launched to 5 enterprise clients with 10,000+ total users

  • SkillsTrax secured additional funding based partly on the strength of the new design

Lessons Learned

Lessons Learned

Lessons Learned

The biggest challenge was balancing personalization with organizational requirements. By creating flexible frameworks rather than rigid paths, we were able to meet both individual and business needs effectively.

This project reinforced several important principles:

  1. User-centered design is critical for learning platforms:
    Understanding the emotional aspects of career development led to more engaging features

  2. AI needs a human touch:
    The most successful features combined algorithmic recommendations with human input

  3. Cross-functional collaboration drives innovation:
    Working directly with AI engineers led to unique solutions we couldn't have developed separately

  4. Progressive disclosure is essential for complex systems:
    Breaking the career planning process into manageable steps significantly improved completion