CM-201b · Module 3

Leading vs. Lagging Indicators

3 min read

Lagging indicators — cost savings, revenue impact, headcount efficiency — are what the board wants to see. They appear three to twelve months after the transformation happens. By the time lagging indicators are visible, the rollout has either succeeded or failed at a scale that makes course correction expensive.

Leading indicators appear in weeks and predict whether the lagging indicators will materialize. Use leading indicators to manage the rollout in real time. Use lagging indicators to prove the outcome to the board.

Do This

  • Daily active usage rate: increasing week-over-week in the first 90 days predicts adoption success
  • Task completion rate: the percentage of target tasks being completed with AI assistance
  • Output integration rate: are people using what the AI produces, or ignoring it?
  • Champion advocacy frequency: are champions talking about the tool in team settings?
  • Skeptic engagement: are previously resistant stakeholders asking questions rather than raising objections?

Avoid This

  • Wait 6 months for ROI numbers before assessing rollout health
  • Use login counts as the primary health metric — logins do not predict transformation
  • Report user satisfaction scores without correlating to behavioral change
  • Ignore champion advocacy patterns — champion silence is an early warning signal