KAYAK | Reimagining the preplanning process

KAYAK | Reimagining preplanning

Visualizing Travel Before Committing to Booking

Visualizing Travel Before Committing to Booking

Visualizing Travel Before Committing to Booking

Overview

KAYAK, a leading travel search platform for flights, hotels, and rental cars, is actively exploring how AI can enhance the pre-booking experience.


I designed an AI-powered moodboarding tool giving users a space for exploration before moving forward with booking. Increased User Satisfaction Score by 16%.

Timeline

3 months

Role

Lead Product Designer

Tools

Figma, Jitter,

Rotato

Team

Skills

Interaction Design

Prototyping

Product Strategy

User Research

MISSION OVERVIEW

Design a user acquisition & product growth strategy for KAYAK AI, targeted towards young adult travelers.

HIGHLIGHTS

Goals

1

Understand the limitations of Kayak AI’s current beta model

Research

Usability Testing

Market Analysis

2

Synthesize research into a product opportunity.

Brainstorm

Journey Mapping

Concept Testing

3

Design a tool for travelers to move forward with booking

Brand

Product

Interface

Research

What does travel planning look like in the age of AI?

AI Landscape

AI Landscape

With all the user research and meta-analysis, we started thinking of ideas for our product.


We brainstormed potential solutions that touched on nuanced pain points during the travel planning process that could leverage


Nrainstormed potential solutions that touched on nuanced pain points during the travel planning process that could leverage


With all the user research and meta-analysis, we started thinking of ideas for our product.


We brainstormed potential solutions that touched on nuanced pain points during the travel planning process that could leverage


Nrainstormed potential solutions that touched on nuanced pain points during the travel planning process that could leverage


Findings

With KAYAK AI in beta, our team conducted usability testing using a think-aloud protocol to evaluate alignment with travelers’ mental models, complemented by 25 in-depth interviews to understand real world planning behaviors.

Conversational LLM structure creates a mismatch between perceived vs. actual capabilities

Conversational LLM structure creates a mismatch between perceived vs. actual capabilities

Planning is fragmented; travelers have different methods to organize evolving ideas.

How might we support group travelers in aligning expectations and making collective travel decisions before committing to booking?

How might we support group travelers in aligning expectations and making collective travel decisions before committing to booking?

Team Ideation Session: Crazy 8s + Dot Voting

With all the user research and meta-analysis, we started thinking of ideas for our product. We brainstormed potential solutions that touched on nuanced pain points during the travel planning process that could leverage AI as an alternative to Kayak AI's Beta model.


With all the user research and meta-analysis, we started thinking of ideas for our product. We brainstormed potential solutions that touched on nuanced pain points during the travel planning process that could leverage AI as an alternative to Kayak AI's Beta model.


Qualitative Usability Testing

With all the user research and meta-analysis, we started thinking of ideas for our product. We took every problem we discovered and brainstormed how we could solve it.

Notes Collected during Round 1 of Concept Testing (n=5)

Semi-Structured Interviews (n=6)

Semi-Structured Interviews (n=6)

"I'd want the pictures to be places I could actually experience and go to. If it's just a random picture of a beach it doesn't matter to me unless I can really go there"

"I'd want the pictures to be places I could actually experience and go to. If it's just a random picture of a beach it doesn't matter to me unless I can really go there"

Participant C during round 1 of concept testing

Challenging the LLM paradigm

The stakeholder was an SME of Kayak’s click-referral commission model, where the company earns a fee each time a user clicks a travel listing and is redirected (even without completing a purchase). I kept this in mind to incorporate in mid-fidelity design iterations.

Kayak AI leverages GPT to produce its text based recommendations

LLMs are pre-trained on vast amounts of data encouraging users to have open ended prompts

Empty State UX: Designing for possibility

With all the user research and meta-analysis, we started thinking of ideas for our product. We brainstormed potential solutions that touched on nuanced pain points during the travel planning process.


"This would be super helpful for my wife. She has a hard time picturing what we're doing ahead of time..she also isn't a huge fan of putting everything in a spreadsheet."

Participant A during round 2 of concept testing

Visual Integration: Kayak's Design System

With all the user research and meta-analysis, we started thinking of ideas for our product. We brainstormed potential solutions that touched on nuanced pain points during the travel planning process.


USER COMPLETION

90%

of users successfully understood and navigated Lucid with ease

USER SATISFACTION

~83%

of participants desired to implement Lucid in their travel planning process.