The cleaning schedule was a reasonable solution to an information problem. Without real-time visibility into restroom usage or occupant satisfaction, the best available system was: clean every 90 minutes, log it on a clipboard, and hope. It was always a proxy for real information. Now, real information is available.
What Alert-Based Cleaning Actually Means
Alert-based cleaning is triggered by data - not by the clock. A people counter detects a traffic surge. A sentiment device captures consecutive negative scores. The system generates an alert. A cleaning task is assigned in real time.
In practice:
- Airport: Terminal 14 processes 400 passengers in 45 minutes. Three consecutive negative sentiment scores. An alert fires to the cleaning contractor before the fourth becomes a complaint in ASQ.
- Hospital: Surgical suite back-to-back procedures for three hours. "Start cleaning" alert fires, team responds, completion button confirms readiness. Average response: under 2 minutes.
- Convenience store: Lunch rush triggers people counter. Alert fires. Restroom cleaned during the surge window - not 40 minutes after.
The Contractor Adoption Problem
At one FeedbackNow airport customer, contractor training was identified as the critical path. Cleaning contractors need to understand: an alert is not a complaint - it's an operational task. When they respond to alerts as tasks, response times drop and adoption accelerates.
The NFC Cleaning Log
FeedbackNow's Flexbox NFC cleaning log: staff member taps on entry, confirms completion on exit. No clipboards. No paper logs. No ambiguity. Specifically highlighted at one FeedbackNow airport customer as essential for scaling to 900,000 passengers.
From Reactive to Predictive
With months of traffic and sentiment data, patterns emerge: Tuesday at 11am in Terminal C is always high-risk. Cleaning resources pre-positioned. The algorithm knows before the passenger arrives. That's where this airport’s analytics engagement is heading.
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