Traditional metrics destroy human-AI collaboration by measuring the wrong things. New metrics enable scale.
The Metrics Evolution:
Old: Tasks completed New: Outcomes achieved
Old: Time spent New: Value created
Old: Individual performance New: Team effectiveness
Old: Error rates New: Learning velocity
Old: Efficiency New: Innovation
Estonia's Measurement Framework:
Level 1: Individual Metrics - AI utilization effectiveness - Human-AI collaboration skill - Value creation per person - Innovation contributions - Learning velocity Level 2: Team Metrics - Collective outcome achievement - Human-AI synergy coefficient - Cross-functional integration - Adaptation speed - Stakeholder satisfaction Level 3: Organizational Metrics - Service quality improvements - Citizen satisfaction scores - Innovation pipeline health - Talent development progress - Societal impact measures "We measure what we actually care about," noted Anett Numa, who leads performance management. "Citizens don't care about our efficiency. They care about their experience. So that's what we optimize for."