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Time on screen, drop-off rate and error frequency are recorded per step, with no personal data leaving the terminal. The result is a journey report that shows which screen is losing customers rather than a general sense that the flow is slow.
At branches with high transaction volume every fault cleared remotely saves hours of stopped terminal and of demand pushed to the teller desk.
Step-by-step completion and abandonment.
Step-by-step completion and abandonment.
Two days at the busiest site, recording where people hesitate, misread a label or walk away. It consistently finds problems that no amount of remote data would have explained on its own.
Alert priority is configured per location: the sites with the most transactions head the queue.
Did the change actually help?
Rewriting the flow around what the data shows.
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