Many students in Years 9–10 are curious about creative careers, digital art, animation, fashion, architecture, graphic design, but lack access to personalised guidance within a school system focused primarily on academic pathways. There are rarely role models, structured advice, or accessible tools that speak to students in a creative industry context. CreatiBot was designed to fill that gap: a conversational, voice- and text-based AI chatbot that simulates a one-on-one guidance experience, helping students explore their interests, reflect on their strengths, and discover pathways they might not have known existed.
Problem framing and learner empathy
Identified the gap in creative career guidance for secondary students, particularly those interested in non-traditional pathways, and mapped the learner persona, needs, and emotional context before designing a single conversation flow.
Conversation flow mapping in Miro
Storyboarded the full conversation architecture in Miro before building in Voiceflow, mapping branching paths by creative interest area (fashion, architecture, animation, digital art, graphic design) and designing reflection prompts at each decision point.
Dialogue scripting
Wrote all dialogue in Google Docs using a motivational coaching tone, accessible, encouraging, and exploratory. Each branch included affirmations, follow-up questions, and curated resource suggestions relevant to that career pathway.
Build in Voiceflow
Developed the full chatbot in Voiceflow, implementing branching logic, voice and text interaction modes, conditional responses based on user input, and a logical progression from interest exploration to actionable next steps.
Branding and visual identity
Designed the CreatiBot brand identity in Canva, name, visual style, and interface aesthetic, ensuring the bot felt distinct, creative, and appealing to a secondary school audience.
This walkthrough demonstrates CreatiBot guiding a student through the career exploration journey - from initial greeting through to personalised pathway recommendations.
Watch how the conversation adapts based on the student's interests, offering:
▪ A warm, encouraging entry point for students unsure where to start
▪ Branching pathways across vocational, university, and undecided routes
▪ Curated resources and next steps tailored to each pathway
▪ A built-in feedback loop so CreatiBot continues to improve
CreatiBot was designed using the same principles I bring to enterprise learning design — clear learner pathways, structured decision points, and a tone that makes guidance feel personal rather than transactional.
CreatiBot was the project where I first understood conversation design as a form of instructional design. Every branching decision is a pedagogical choice, what question do you ask next, how do you respond to uncertainty, where do you place a moment of reflection? Designing dialogue that feels natural while also guiding a learner toward insight is harder than it looks, and it gave me a deep appreciation for the craft of UX writing alongside the logic of flow design. It's also the project that showed me AI tools don't have to be impersonal — designed well, they can make students feel genuinely seen.