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Career Connections Chatbot:
AI Career Prep for UX & Business Students
CCC Bot is an AI-powered conversational agent designed to support UX and Business students with personalized career preparation. Built through UX research, conversation design, and iterative testing, the bot delivers tailored career guidance, resume and portfolio support, skill recommendations, and job search preparation. The project integrates ethical, accessible, and human-centered AI principles, demonstrating how conversational UX can create meaningful, trustworthy, and student-focused digital experiences in career development.
Tools Used:
Voiceflow (conversational agent prototyping & deployment)
Google Sheets (resume template generator system)
UX Research Methods (guerrilla research, interviews, usability testing)
Conversation Design Frameworks (intents, flows, prompts, personality design)
UX Design Methods (personas, user journeys, scenario mapping, iteration matrix)
Deliverables:
Fully functional AI chatbot prototype (Voiceflow)
Defined chatbot personality & tone system
Persona development (Olivia Wilson)
User journey maps (Happy Path, Error Path, Dead End Path)
Conversation flow architecture
Resume template generator system
Usability testing reports & post-survey results
Iteration matrix
Final interactive prototype
Results:
CCC Bot successfully delivered a functional, student-centered AI career assistant that provides personalized guidance, resume support, and skill recommendations for UX and Business students. Through user testing and iteration, the bot achieved high usability and friendliness scores while improving credibility, trust, and personalization through structured design improvements.
Key Insights
Personalization builds trust: Users valued clarifying questions and tailored responses far more than generic chatbot outputs.
Efficiency matters: Manual data entry created friction, leading to the design of a structured resume template generator to reduce cognitive load.
Tone influences credibility: A balance of student-friendly warmth and professional authority is essential for trust in career-focused AI tools.
Guided freedom improves UX: Users want flexibility, but still need structured pathways to avoid confusion and frustration.
Career AI must be ethical and inclusive: Privacy protection, emotional sensitivity, and accessibility are critical in career-related conversational systems.
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