RaceTrac Generative Research and Synthesis
Project Overview
What: a 4 month, $250k project to inform product strategy and overall CX for RaceTrac, specifically around food products.
The Goal: to better understand the habits, desires, pain points, and highlights of the key user.
UX Double Diamond Method
In my work, I use the UX Double Diamond process model whenever possible. This project specifically focused on the Discover phase of this method.
My Research Methods
🧪 A/B Testing
🗺Experience Mapping
⚙️Current State User Flows
👓Competitive and Comparative Analysis
👩💼In-Person Interviews
📝Surveys (Creations, Execution)
🧩Card Sorting
📱Usability Testing
🕵️♀️Contextual Inquiry
🖥Remote Interviews
❤️Empathy Mapping
👱♂️Personas
Research Setup
Our project would be completed in the following five phases:
After kicking off the project, I began with a comparative analysis of the entire convenience category to understand how users experience convenience today.
Then, I completed a competitive analysis of how all of our direct competitors were interacting with users from both a convenience and technology perspective.
Selecting Users + Collecting Inputs
Of course, it was key for us to go straight to the users for our research.
For this project, I utilized specific criteria when screening and selecting users:
Our users came from three primary locations across the United States. These were cities where the store had a major presence, and users would likely be aware of the brand.
👦53% Dallas, Texas
👩🦱12% Orlando, Florida
🧓35% Atlanta, Georgia
Surveys and Interviews
After selecting our users, I collected information through both surveys and interviews.
User Snapshot and Persona
With all of that data, I created a snapshot of our key user. This included demographic information and details on his behaviors, habits, likes and dislikes.
User Journey Maps
Based on the research completed, I put together two user journey maps for our key user.
Research Synthesis
Once all of our information was collected, we synthesized all of the research into a few key insights to understand what our key users really wanted from RaceTrac. This was done through a mixture of white boarding and affinity mapping. Here’s where I landed:
Next Steps
After all of the research, analysis, and synthesis were complete, there were three next steps in the process.
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