Career Compass
AI Career Planner for Creatives
Concept • Product Design • AI UX • End-to-End Case Study
A self-initiated product concept that helps creative professionals understand their skill gaps, plan their growth, and prepare for real-world industry challenges
My Role: Solo Product Designer • Research • IA • System Design • UX • UI • Prototyping
Executive Summary
Problem
Creative professionals often struggle to identify skill gaps and navigate career growth without clear guidance. Traditional career resources are generic and don't account for the unique challenges of creative fields. Many feel uncertain about portfolio quality and interview readiness.
Solution
Career Compass delivers personalized AI-driven career roadmaps, portfolio feedback, and mock interview practice tailored for creative professionals. It provides actionable insights and continuous learning support to help users progress confidently in their careers.
Project Purpose
Career Compass is an AI-powered platform concept that helps creatives identify skill gaps, build personalized roadmaps, and prepare for real-world opportunities.
User Personas
Students
Pain Points
• Unsure what skills employers actually want
• Limited portfolio without real work experience
• Anxious about first job interviews
• Difficulty standing out in competitive market
Goals
• Build a strong portfolio from scratch
• Learn industry-relevant skills
• Get first job in creative field
• Receive feedback on work
Freelancers
Pain Points
• Inconsistent income and project flow
• No clear path for skill development
• Isolated without team feedback
• Difficulty pricing and positioning services
Goals
• Secure higher-quality clients
• Improve portfolio strategically
• Benchmark skills against peers
• Plan long-term career trajectory
Employed Juniors
Pain Points
• Unclear about next career move
• Limited feedback from busy managers
• Want to transition but don't know how
• Imposter syndrome and skill uncertainty
Goals
• Get promoted or level up skills
• Understand gaps to senior level
• Prepare for interviews confidently
• Make informed career decisions
Value Proposition
Personalized
Roadmap
AI-generated career paths tailored to your current skills, goals, and creative discipline.
AI-Powered Portfolio
Feedback
Get instant, actionable feedback on your portfolio with specific improvement suggestions.
Skill Gap Analysis
Identify exactly what you need to learn to reach your next career milestone even after having a gap.
Mock Interviews
Practice portfolio presentations and design critiques in a safe, supportive environment.
Peer Benchmarking
Understand where you stand compared to others in the same field and experience level.
Experience Principles
Transparent AI
Always explain how AI reaches conclusions & recommendations so users can trust & learn from it.
Actionable Guidance
Provide specific next steps and concrete actions rather than vague advice or generic suggestions.
Supportive Tone
Encourage growth mindset with constructive feedback that motivates rather than discourages users.
Continuous Learning
Support ongoing skill development with evolving recommendations tailored to user progress.
Privacy-First
Protect user data and creative work with clear privacy controls and transparent data usage policies.
User Empowerment
Give users control over their learning path and career decisions while providing expert guidance.
AI System Design
AI-Driven Tasks
Portfolio improvement suggestions
Interview question generation
Career path suggestions
Personalized learning recommendations
Skill gap identification
Portfolio structure validation
Rule-Based Logic
Industry standard skill requirements
Career level classifications
Benchmarking against role criteria
Learning resource categorization
Progress tracking milestones
Feedback scoring rules
Human-in-the-Loop
User confirms career goals
User selects preferred learning style
User provides context on work samples
User approves roadmap adjustments
User rates feedback helpfulness
User refines AI recommendations
Information Architecture
User Profile
Skills
Portfolio
Roadmap
Feedback
Jobs/Briefs
Bidirectional data flow
Skills influence Portfolio and Roadmap. Portfolio generates Feedback. Roadmap suggests learning paths. Jobs/Briefs match user skills and portfolio quality.
Key User Flows
1
Welcome & Onboarding
User begins the journey and gets a quick overview of the platform.
2
Career Goals
User selects their main career goal and what they want to achieve.
3
Role & Experience
User enters their current role, experience level, and industry.
4
Skills & Interests
User chooses their existing skills and areas they want to grow in.
5
Profile Review
User reviews all inputs and confirms their profile for analysis.
6
AI Insights
AI generates personalized insights, skill gaps, and next steps.
7
Dashboard
User sees progress, insights, & recommended opportunities.
8
Skill Analysis
User views detailed strengths and gaps across skill areas.
9
Career Pathways
User explores AI-generated career paths and growth options.
10
Portfolio & Opportunities
User receives portfolio suggestions and matched roles or briefs.
Final UI Screens
A collection of the final high-fidelity screens showcasing the complete user experience.
Landing Page
Onboarding: Welcome Screen
Onboarding: Role & Experience Input
Onboarding: Career Goals Input
Onboarding: Skills & Interests Input
Onboarding: Summary & Confirmation
Career Pathways
Dashboard
Success Indicators (Projected)
Career Clarity Improvement
Users gain a clearer sense of direction - what skills to focus on next, how to progress, and how their current abilities align with industry expectations.
Interview Confidence
Practicing mock interviews and getting portfolio feedback helps users feel more prepared. They know what to improve and how to articulate their work better.
Portfolio Quality Improvement
Guided feedback leads to stronger case studies and more polished portfolios that better showcase skills and attract opportunities.
Risks & Next Steps
Risks
AI feedback may miss the nuance of human expertise in creative fields
Users might become overly reliant on AI instead of building their own judgment
Privacy concerns with uploading portfolio work and personal career data
Hard to balance personalized guidance with scalable AI recommendations
AI models may reinforce existing industry biases present in training data
Strong competition from existing career platforms and AI tools
Monetization strategy needs validation with real users
Next Steps
1
Build Interactive Prototype
Create a high-fidelity prototype that demonstrates core AI feedback, pathways, and roadmap features.
2
Conduct User Testing
Test with 15–20 creatives across students, freelancers, & early-career designers to validate usefulness and clarity.
3
Refine Based on Feedback
Improve AI transparency, feedback quality, and overall experience based on user insights.
4
Build Beta Community
Engage early adopters to validate value, gather real-world usage data, and shape the next version.
Summary
Career Compass explores how AI can support creative professionals by identifying skill gaps, guiding growth, and providing clearer pathways toward their goals. This project allowed me to dive into product thinking end-to-end — from research and IA to UX, UI, and an early system model for AI-driven guidance. It’s a concept project created to strengthen my design process, showcase problem-solving depth, and imagine how smarter tools could help emerging creatives grow with more confidence.
This is a concept project created for portfolio and learning purposes.
Career Compass
AI Career Planner for Creatives
Concept • Product Design • AI UX • End-to-End Case Study
A self-initiated product concept that helps creative professionals understand their skill gaps, plan their growth, and prepare for real-world industry challenges
My Role: Solo Product Designer • Research • IA • System Design • UX • UI • Prototyping
Executive Summary
Problem
Creative professionals often struggle to identify skill gaps and navigate career growth without clear guidance. Traditional career resources are generic and don't account for the unique challenges of creative fields. Many feel uncertain about portfolio quality and interview readiness.
Solution
Career Compass delivers personalized AI-driven career roadmaps, portfolio feedback, and mock interview practice tailored for creative professionals. It provides actionable insights and continuous learning support to help users progress confidently in their careers.
Project Purpose
Career Compass is an AI-powered platform concept that helps creatives identify skill gaps, build personalized roadmaps, and prepare for real-world opportunities.
User Personas
Students
Pain Points
• Unsure what skills employers actually want
• Limited portfolio without real work experience
• Anxious about first job interviews
• Difficulty standing out in competitive market
Goals
• Build a strong portfolio from scratch
• Learn industry-relevant skills
• Get first job in creative field
• Receive feedback on work
Freelancers
Pain Points
• Inconsistent income and project flow
• No clear path for skill development
• Isolated without team feedback
• Difficulty pricing and positioning services
Goals
• Secure higher-quality clients
• Improve portfolio strategically
• Benchmark skills against peers
• Plan long-term career trajectory
Employed Juniors
Pain Points
• Unclear about next career move
• Limited feedback from busy managers
• Want to transition but don't know how
• Imposter syndrome and skill uncertainty
Goals
• Get promoted or level up skills
• Understand gaps to senior level
• Prepare for interviews confidently
• Make informed career decisions
Value Proposition
Personalized
Roadmap
AI-generated career paths tailored to your current skills, goals, and creative discipline.
AI-Powered Portfolio
Feedback
Get instant, actionable feedback on your portfolio with specific improvement suggestions.
Skill Gap Analysis
Identify exactly what you need to learn to reach your next career milestone even after having a gap.
Mock Interviews
Practice portfolio presentations and design critiques in a safe, supportive environment.
Peer Benchmarking
Understand where you stand compared to others in the same field and experience level.
Experience Principles
Transparent AI
Always explain how AI reaches conclusions & recommendations so users can trust & learn from it.
Actionable Guidance
Provide specific next steps and concrete actions rather than vague advice or generic suggestions.
Supportive Tone
Encourage growth mindset with constructive feedback that motivates rather than discourages users.
Continuous Learning
Support ongoing skill development with evolving recommendations tailored to user progress.
Privacy-First
Protect user data and creative work with clear privacy controls and transparent data usage policies.
User Empowerment
Give users control over their learning path and career decisions while providing expert guidance.
AI System Design
AI-Driven Tasks
Portfolio improvement suggestions
Interview question generation
Career path suggestions
Personalized learning recommendations
Skill gap identification
Portfolio structure validation
Rule-Based Logic
Industry standard skill requirements
Career level classifications
Benchmarking against role criteria
Learning resource categorization
Progress tracking milestones
Feedback scoring rules
Human-in-the-Loop
User confirms career goals
User selects preferred learning style
User provides context on work samples
User approves roadmap adjustments
User rates feedback helpfulness
User refines AI recommendations
Information Architecture
User Profile
Skills
Portfolio
Roadmap
Feedback
Jobs/Briefs
Bidirectional data flow
Skills influence Portfolio and Roadmap. Portfolio generates Feedback. Roadmap suggests learning paths. Jobs/Briefs match user skills and portfolio quality.
Key User Flows
1
Welcome & Onboarding
User begins the journey and gets a quick overview of the platform.
2
Career Goals
User selects their main career goal and what they want to achieve.
3
Role & Experience
User enters their current role, experience level, and industry.
4
Skills & Interests
User chooses their existing skills and areas they want to grow in.
5
Profile Review
User reviews all inputs and confirms their profile for analysis.
6
AI Insights
AI generates personalized insights, skill gaps, and next steps.
7
Dashboard
User sees progress, insights, & recommended opportunities.
8
Skill Analysis
User views detailed strengths and gaps across skill areas.
9
Career Pathways
User explores AI-generated career paths and growth options.
10
Portfolio & Opportunities
User receives portfolio suggestions and matched roles or briefs.
Final UI Screens
A collection of the final high-fidelity screens showcasing the complete user experience.
Landing Page
Onboarding: Welcome Screen
Onboarding: Role & Experience Input
Onboarding: Career Goals Input
Onboarding: Skills & Interests Input
Onboarding: Summary & Confirmation
Career Pathways
Dashboard
Success Indicators (Projected)
Career Clarity Improvement
Users gain a clearer sense of direction - what skills to focus on next, how to progress, and how their current abilities align with industry expectations.
Interview Confidence
Practicing mock interviews and getting portfolio feedback helps users feel more prepared. They know what to improve and how to articulate their work better.
Portfolio Quality Improvement
Guided feedback leads to stronger case studies and more polished portfolios that better showcase skills and attract opportunities.
Risks & Next Steps
Next Steps
1
Build Interactive Prototype
Create a high-fidelity prototype that demonstrates core AI feedback, pathways, and roadmap features.
2
Conduct User Testing
Test with 15–20 creatives across students, freelancers, & early-career designers to validate usefulness and clarity.
3
Refine Based on Feedback
Improve AI transparency, feedback quality, and overall experience based on user insights.
4
Build Beta Community
Engage early adopters to validate value, gather real-world usage data, and shape the next version.
Risks
AI feedback may miss the nuance of human expertise in creative fields
Users might become overly reliant on AI instead of building their own judgment
Privacy concerns with uploading portfolio work and personal career data
Hard to balance personalized guidance with scalable AI recommendations
AI models may reinforce existing industry biases present in training data
Strong competition from existing career platforms and AI tools
Monetization strategy needs validation with real users
Summary
Career Compass explores how AI can support creative professionals by identifying skill gaps, guiding growth, and providing clearer pathways toward their goals. This project allowed me to dive into product thinking end-to-end — from research and IA to UX, UI, and an early system model for AI-driven guidance. It’s a concept project created to strengthen my design process, showcase problem-solving depth, and imagine how smarter tools could help emerging creatives grow with more confidence.
This is a concept project created for portfolio and learning purposes.