Airport Product System
January-August 2020
UX Design Lead
Figma • Sketch • Illustrator • Miro • Usertesting.com
How can we improve the queueing and waiting experience at Pittsburgh International Airport?
Secondary research, interviews and shadowing, affinity diagramming
Conceptual modeling, storyboards and speed dating, feature prioritization
Airport simulation, card and app prototyping and iteration
Design system, final screens and feature details.
Our team conducted more than 40 semi-structured interviews with a variety of travelers to understand air travel strategies and pain points.
We also shadowed classmates and instructors on airport trips—as well as equipping volunteers with cameras—to observe behaviors and travel times. Our team synthesized findings in subsequent interpretation sessions.
Early in the project, we met with our airport partners for a series of design exercises.
The goal of these activities was to create an accurate model of stakeholder groups, understand the constraints and resources of the airport, and learn about the current state of the passenger experience.
To understand best practices in queueing and waiting, our team visited and conducted contextual inquiries in spaces with consistent lines.
Aside from grocery and retail environments, we visited Walt Disney World to analyze digital queueing systems as well as physical queues.
Synthesized findings from primary research activities were organized and grouped to identify larger themes.
Travelers feel anxious because of uncertainty about catching their flight, especially when they don’t know how long security will take
Travelers have a lot to keep track of at the airport—systems that streamline decision-making can free up their mental capacity for important tasks
A traveler's trip doesn’t begin at the airport—it starts at home, where the user works backwards, calculates and plans for their upcoming journey.
To understand the basic problems and sentiments involved in waiting systems, we designed a simple experiment involving "buzzers" (stopwatches).
Participants were offered several waiting options, and their feelings were recorded in an exit survey.
By breaking the air travel journey into discrete stages in a customer journey map with associated tech touchpoints, pain points and opportunities, our team was able to pinpoint the most valuable points for interventions.
Above, two broad concepts are charted, overlapping during the TSA wait.
Armed with research on airport pain points and passenger sentiment, our team created more than 20 storyboards depicting broad solutions.
Participants were talked through each scenario and their thoughts and reactions were recorded.
Participants' responses to storyboard speed dating were coded and analyzed. Four broad concepts were identified as candidates for further exploration.
Remotely reserve a security time slot ahead of your arrival, and skip the main line
Receive updates in-queue to better understand how much time you have at the airport
Get options to bypass the line when systems detect you're late—one-time passes, rebooking, etc.
Interact with systems or characters that offer engagement to reduce perceived wait time
Early simulations functioned as beefed-up storyboards, communicating the steps and actions of an airport visit
Figma-based walkthroughs used PIT photography to simulate presence and allowed for user-directed action
For the most freedom in decision-making, we created a simplified virtual airport to see how users would plan and allocate time
I created this conversation flow model to underpin the chatbot system. The image cards pictured served as prototypes for serving users visual info.
Confirmed line information, maps and dining options as the core functions most important in a quick-access chat system
Use images to communicate visual information or options meant to be viewed in parallel—reserve native SMS text for linear information
Leverage familiar UX patterns from existing systems ('STOP', emoji, bolding) to help users navigate the interactions