Docent

UX Strategy

Our role was to define and lead the end-to-end experience strategy: from crafting the ArtID framework (a psychological profiling system inspired by humanistic psychology) to developing a self-discovery onboarding flow, interactive art-matching journeys, and emotionally aware content logic.
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We designed a prototype experience that:

Uses a personality-led quiz and LinkedIn data to generate a user’s ArtIDs

Matches users to artists based on shared emotional and thematic resonance

Generates contextualised recommendations across a personal art dashboard

Explores art as a mirror for identity, not just as a product to consume

POC Tested

As part of the PoC, we validated a hybrid model that combines LLMs with expert heuristics. The system was tested with beta users and showed tangible impact:

+30% improvement in explanation quality

+7% increase in perceived recommendation value

Narrative with emotional alignment outperformed generic AI responses in building user trust and engagement

This foundational work is now being scaled into Docent’s next chapter, with a roadmap that includes:
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- Conversational AI grids for natural language exploration
- Member-only SenseOS dashboards to visualise personal taste evolution
- A hybrid curation model combining AI + human advisors
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This project demonstrates the power of design-led thinking in shaping intelligent, human-centered AI experiences—built not just for functionality, but for reflection, cultural context, and deeper connection.

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