Campus AI
Qualitative design research for an LLM-guided learning platform: 42 surveys and 8 depth interviews with career shifters, synthesized into strategic product recommendations.
- ROLE
- Design Researcher (team of 4)
- YEAR
- 2024
- METHOD
- 42-respondent survey, 8 × 90-min depth interviews, thematic coding
- CONTEXT
- Harbour.Space × Campus AI
// FULL CASE STUDY UNDER CONSTRUCTION — THE NETWORK PAGE IS STILL COOKING. CURSOR HEAT RESOLVES IT EARLY.
What this is
Campus AI was building an LLM tool for structured learning and needed to know: who is the most motivated user? We studied mid-career professionals changing careers — how they choose paths, learn, stay motivated, and validate progress.
The headline finding: career shifters don’t job hunt — they stumble into paths through people, validate them through proxy communities, and trust outputs over certificates. The full write-up (method, coded themes, and the strategic recommendations that came out of it) lands here as a proper network page.
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