AI Ticketing Assistant

Product Innovation • Entertainment

AI Ticketing Assistant

Led concept to MVP for an AI-powered ticketing and alerts experience. Working in a lean team of three, we explored how AI could help moviegoers discover showtimes, secure great seats, and stay connected to upcoming releases.

Role

Design Director

Team

Tech Director, Research Director

Client

IMAX Digital Team

Discovery

IMAX wanted to use AI to create an experience purpose-built for its most passionate fans.

Research revealed a worthy problem to solve: fans planned to see IMAX films months in advance but didn't know when tickets would go on sale. They were missing out on the best seats and sometimes showtimes altogether.

Research Excerpt

Concept Development

Collaborating with stakeholders from product, technology, and marketing, we explored a range of concepts.

Early Concepts

We landed on a vision for a full-service ticketing assistant that could learn fans' preferences and help them secure the best seats with minimal effort, including purchasing tickets for them.

Concept-Wireframe

MVP Definition

We defined an MVP to test our core ideas. The goal was to validate a broader roadmap toward increasingly automated ticket discovery and purchasing.

The MVP allowed fans to subscribe to upcoming releases and receive a personalized text the moment tickets went on sale, with direct links to recommended showtimes based on their preferred theater, time of day, and seating preferences.

MVP Design

I designed the end-to-end experience, including signup, preference collection, confirmation flows, and personalized SMS notifications.

MVP Flow

The goal was to make setup effortless while collecting just enough information to deliver alerts that felt genuinely useful and relevant.

Entry Point
MVP flow
Desktop
Dynamic Messaging

Pilot

A pilot was launched to newsletter subscribers in December 2024, establishing baseline performance metrics and validating demand for personalized ticket alerts.

63% completed the full ticket alerts flow after clicking from email
93% completed preference setup after starting
80% configured ticket alert preferences
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