Capability layer

Behavior analytics cannot prove capability

Workforce analytics can show how people worked. Uncover answers the next question: can they actually do and explain the work their tools produced?

  • Workforce analytics users
  • AI adoption programs
  • Performance leaders

Observe -> Understand -> Verify -> Improve

Add verification to workforce analytics

Uncover uses behavior and work-pattern signals as the starting point for capability verification and manager action.

1

Use behavior as a signal

App, site, and work-pattern analytics should indicate where to look, not pretend to answer everything.

2

Tie signal to work

Connect behavior changes to output artifacts and actual task context.

3

Verify the person

Generate capability checks from real work when usage, output, or review patterns raise a question.

Operating model

What changes when work evidence and capability evidence live together

Behavior analytics

  • Shows work patterns, productivity trends, capacity, and AI usage analytics.
  • Helps leaders spot teams or workflows that need attention.
  • Does not itself prove that an individual understands AI-assisted output.

Behavior plus verification

  • Uses workforce signals to trigger a concrete verification workflow.
  • Builds a capability profile from work-specific checks over time.
  • Preserves manager judgment and evidence instead of collapsing people into a score.

Trust and control

Verification for analytics-driven teams

Uncover is designed for organizations that need stronger work visibility without reducing people to activity percentages.

Customer controls

  • Behavior signals identify where to look, while capability checks confirm what a person can do.
  • Work-generated checks stay tied to real output and task context.
  • Capability evidence supports coaching, staffing, access, and review workflows.

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