Tilly — AI Event Assistant

Problem

Visitors attending live events need quick answers before they arrive — what is on this weekend, when doors open, where to park, how to access tickets, whether the venue is accessible. On most venue websites those answers are buried across multiple pages, creating friction during planning and driving unnecessary support requests.

• Key visitor information scattered across separate pages
• No single guided path from question to answer
• Avoidable support volume for routine questions

Approach

I designed the assistant as a guided conversation rather than a search box, mapping user intents first and then building the dialogue flows and fallback logic that carry someone from event discovery through to ticket purchase.

• Intent mapping across the full visitor journey
• Multi-step dialogue flows with fallback and recovery logic
• Conversational copy, clarifying prompts, and response variations
• Assistant persona and tone system
• Competitive analysis of existing ticketing and AI assistant experiences

Outcome

A complete conversational UX system that centralizes event discovery, ticketing, directions, and accessibility support in one interface — reducing the number of places a visitor has to look before they arrive.

• End-to-end conversational architecture from discovery to purchase
• Documented intent map, dialogue flows, and fallback logic
• Full copy and persona system

Self-initiated case study. Not affiliated with any venue or ticketing provider.