Proven Wayfinding.
Backed by Real
User Data.
See how Verifind helps organisations improve navigation, reduce confusion, and create better user experiences through real-world studies and measurable results.
At its core, Verifind works by observing how real people 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-route survey forming key parts of the dataset.
Participants are recruited to match the client’s target demographics and asked to complete a specified route on-site, in the real built environment, for example, finding a destination under time pressure. These routes are designed to reflect realistic conditions and stress levels, not lab simulations. During the route, 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 route, KPIs are calculated using a combination of qualitative feedback and quantitative data.
How We Measure:
Three KPIs That Turn Signage from Opinion into Evidence.
Signage Attention Score
A quantitative eye-tracking metric that measures how effectively signage captures the attention of participants within a user's visual field.
Signage Attention Score looks to answer the main question: which signs on a route 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. This KPI helps us determine which signs participants are looking at and which ones are not of interest. We gain insight into the Signage Attention Score through the biometric data collected. We analyse each participant's gaze patterns to observe how much attention they pay to the visual communication system in place.
Visitor Experience & Effort Score
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. They are designed to highlight points of confusion, hesitation, or misdirection across the route and place wayfinding performance in its real behavioural context. The combined outcomes of the Visitor Experience and Effort Score provide a human-centred indicator of how demanding or intuitive the wayfinding system feels in practice, complementing the quantitative eye-tracking data.
Navigational Efficiency Score.
Sectors We Serve.
Healthcare
Transportation
Education
Retail
Mixed-use
Corporate campuses
Resources.
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Brochure
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