Building on the insight that most configurators overwhelm users and exploring whether they can be built differently, this phase dives into real user interviews to understand why do people who start using this powerful tools lose intent along the way?
Project Reference These interviews were conducted during the initial research phase of my 2023 Home Configurator project — a UX-driven personalization tool built in Unreal Engine 5 for luxury real estate.
Purpose of These Interviews To validate my hypothesis that the typical real estate user journey — built around generic websites and basic configurators — creates friction that leads to poor engagement and decision-making. I aimed to understand why users often book appointments that don’t match their needs or skip them altogether. These interviews helped identify pain points and gaps to inform a more user-centered design approach.
Time/Scope Constraints The research took place over 20 days during a live real estate campaign, where the user journey began on a website featuring a typical configurator. This setup allowed for fast, budget-conscious data collection while capturing honest, in-context user behavior. The goal was to gather directional insights to guide early UX assumptions within real-world limitations.
Target User Groups 87 of the 200 total leads completed my questionnaire. Divided in:
Recruitment Method During a live real estate marketing campaign. It appeared after the “Book an Appointment” step, capturing responses from users actively navigating the funnel.
Sample Size Data was collected organically from real users interacting with the configurator and booking flow. Rather than imposing demographic balance, participant types reflected real market behavior, which helped preserve authenticity. User types were self-reported, not pre-screened, allowing for naturalistic, context-aware insights over artificial lab conditions.