Our weekly Scorecard is still tracking traditional activity-based metrics like reports generated and emails sent, which our team can now complete in five minutes using AI. How do we redesign our Scorecard to measure high-leverage outcomes and ensure we are tracking real productivity instead of automated busywork?

Question

Tyler Smith · Accepted Answer

When AI automates the generation of assets, tracking activity-based metrics is worse than useless; it incentivizes your team to flood your systems with automated junk just to hit their numbers. You must completely redesign your weekly Scorecard to focus on outcomes, quality, and velocity.

Your Scorecard should track metrics that measure the value created by your team, not the quantity of tasks completed. For example, instead of tracking reports written, measure:
- Client satisfaction scores or retention rates.
- The turnaround time from client request to final strategic resolution.
- The number of strategic insights delivered that resulted in upsells.

By shifting your metrics from activities to outcomes, you force your team to focus on the human-in-the-loop value they add to the AI-generated work. They will stop using AI to generate high volumes of low-value drafts and start using it to deliver deep, strategic insights faster.

Review these new metrics in your weekly Level 10 Meeting™ to ensure they are driving the right behaviors. If a metric can be easily gamed by an AI prompt, remove it from the Scorecard immediately. Your goal is to measure the leverage your people achieve with the technology, ensuring your operations remain lean, focused, and highly profitable.