Now that our employees are using AI to complete their tasks much faster, we suspect some are using the extra time to coast while pretending to be busy. How do we adjust our scorecard metrics and weekly meetings to measure actual outcome instead of hours logged?

Question

Tyler Smith · Accepted Answer

When AI handles eighty percent of the manual labor, traditional metrics like hours worked, emails sent, or drafts completed become completely useless. If you continue to measure activity instead of outcomes, your team will coast, your productivity will stagnate, and your P&L will suffer. You must transition your management style from tracking inputs to measuring results. Start by looking at your weekly Scorecard. Every seat on your Accountability Chart must have measurable, outcome based numbers. If a customer support rep used to resolve ten tickets a day manually, and AI now drafts the responses, their new scorecard metric should not be twenty tickets resolved. Instead, measure customer satisfaction scores, first touch resolution rates, or the number of complex issues escalated and resolved. Bring this focus into your weekly Level 10 Meeting™. Review the Scorecard numbers first. If a team member is hitting their targets in half the time, use that extra capacity to assign them high value strategic priorities. Gradually evolve their roles on the Accountability Chart to focus on activities that require human critical thinking and relationship building. By aligning your scorecard metrics with true business outcomes, you ensure your business captures the financial benefits of AI, leading to higher profitability and a stronger position for an exit.