Data usage and protection

WorkWhile’s machine learning makes staffing faster, more reliable, and more efficient. By learning from how your past shifts have performed, our system continuously improves to ensure the right workers are matched to your future shifts.

Our AI analyzes over 150 factors including skills, certifications, past performance, and your company’s preferences to match the best workers for each shift.

Our models forecast attendance with ~95% accuracy before the shift begins. If our system predicts that a worker might not show, we'll automatically dispatch a backup so your coverage stays intact.

We prioritize workers who’ve already performed well for your company. This means less onboarding, more reliable repeat staff, and better outcomes for you.

Our system can analyze the circumstance and recommend small bonuses or incentives to quickly boost fill rates when needed.

We use performance data to create dashboards that show fill rates, attendance, and worker performance.

We may analyze shift histories, job requirements, worker feedback, and your preferences strictly to refine our internal models. Data helps us continually learn what works best for your business in order to improve staffing predictions and optimize matches.

We never sell your information. We protect your data with strict security measures and only use customer data to improve staffing outcomes.

Data is aggregated and anonymized. Our models learn general patterns, such as what drives reliability, without exposing your company’s details. Your data is never visible to other customers. Your data will not be used in any way that compromises privacy or confidentiality.

WorkWhile doesn’t just keep your data safe - we use it to deliver higher fill rates, fewer disruptions, and a workforce that’s a better fit for your business.