System
Atlas
Registry/Staffing

Dayforce Flex Work

USStaffing schema v1
Mapped
25%
Components
10
Public map
How Dayforce Flex Work is built
People
Process
Software
Data
Supplied or external workforce
Matching and selection
Operational messaging
Scheduling and changes
Staffing demand intake
Time capture
Work evidence beyond hours
Native client app
Operational analytics
Returning worker pools
React Flow
Layer health
What is known, per layer
  • People1/4
  • Process6/18
  • Software1/10
  • Data2/7
  • Decisions0/1
Lenses

Business architecture: 7 parts. System architecture: 3 parts.

People and relationships

  • Supplied or external workforce
    Supplied or external workforce
    Flex Work supplies frontline contingent labor; the wider Dayforce supplier platform is a separate product scope.
    Evidence
    documented
    Inferredpublic researchsource

Interfaces and channels

  • Native client app
    Native client app
    The retained native app is expressly for businesses posting shifts and managing workers.
    Evidence
    documented
    Inferredpublic researchsource

Demand and commitment

  • Matching and selection
    Matching and selection
    The retained product announcement describes customer shift requests and worker matching.
    Evidence
    documented
    Inferredpublic researchsource
  • Staffing demand intake
    Staffing demand intake
    Businesses post shifts from the app and track schedule fill.
    Evidence
    documented
    Inferredpublic researchsource

Work delivery and recovery

  • Operational messaging
    Operational messaging
    The business app includes direct worker messaging.
    Evidence
    documented
    Inferredpublic researchsource
  • Scheduling and changes
    Scheduling and changes
    Businesses post shifts from the app and track schedule fill.
    Evidence
    documented
    Inferredpublic researchsource
  • Time capture
    Time capture
    The app describes worker QR check-in and real-time location tracking.
    Evidence
    documented
    Inferredpublic researchsource
  • Work evidence beyond hours
    Work evidence beyond hours
    The app describes worker QR check-in and real-time location tracking.
    Evidence
    documented
    Inferredpublic researchsource

Control and learning

  • Operational analytics
    Operational analytics
    Businesses can see shift fill rates in real time.
    Evidence
    documented
    Inferredpublic researchsource
  • Returning worker pools
    Returning worker pools
    The My Team feature maintains a bench of favorite returning workers.
    Evidence
    documented
    Inferredpublic researchsource
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