Verifind in Action
Case Studies
At its core, Verifind works by observing how real people visually navigate a space and analysing that behaviour to identify where wayfinding succeeds or fails. It combines qualitative and quantitative data to generate ratings that assess overall wayfinding performance, with eye‑tracking and a post‑journey survey forming key parts of the dataset.
Participants are recruited to match the client’s target demographics and asked to complete a specified journey on-site, in the real built environment, for example, finding a destination under time pressure. These journeys are designed to reflect realistic conditions and stress levels, not lab simulations. During the journey, eye‑tracking captures where participants look, how long they look, what they miss, and moments of hesitation or confusion, revealing which signage and cues are actually noticed. After the journey, KPIs are calculated using a combination of qualitative feedback and quantitative data.
Signage Attention
Signage Attention Score looks to answer the main question: which signs on a journey are being looked at, and which are not? This KPI is a quantitative data set captured by eye-tracking glasses and uploaded in real time to our data analysts.
Visitor Experience & Effort
With human behaviour at the centre of our analysis, the Visitor Experience & Effort Score captures how participants felt and processed information while navigating the space. It is divided into two complementary parts, the Visitor Experience and the Effort Score.
Navigation Efficiency
The question this KPI tries to answer: how long does it actually take someone unfamiliar with a space to reach a specific destination? This quantitative data is collected by the Field Survey Lead and validated using the video timestamp.
Who is Verifind For?
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