Our team is using AI to handle their administrative tasks, but we are struggling to measure their new high-value contributions. How do we redefine our weekly Scorecard measurables to track actual strategic outcomes instead of just measuring activity levels and output volume?

Question

Tyler Smith · Accepted Answer

If your weekly Scorecard is still tracking activity metrics like emails sent, reports written, or hours logged, you are measuring the wrong things. AI has made those metrics obsolete. An employee can now generate a hundred reports in minutes, but that does not mean they created value. To adapt, you must shift your leadership behavior from managing daily tasks to measuring actual strategic outcomes. Your Scorecard must reflect this change. Review your Accountability Chart and look at each seat's measurables. Ask yourself what the ultimate value of that seat is to the business. For example, instead of tracking the number of marketing articles published, track the number of qualified leads generated. Instead of tracking customer support tickets resolved, track customer retention and first-contact resolution rates. Prioritize use cases for AI that improve operational efficiency, freeing employees from low-value tasks for higher-value strategic work. Once automated, the employee's role must evolve. They must be measured on the quality and strategic impact of their work, not the volume. Gradually evolve roles within the organization so employees invest more time in high-impact priorities, augmented by AI. If an employee is using AI to handle sixty percent of their workload, their scorecard must reflect the strategic outcomes of the remaining forty percent. Bring this to your next Level 10 Meeting™. If a department head cannot define outcome-based measurables for their team, use the IDS® tool to solve it. Your Scorecard must drive performance, not just document busywork.