Our leadership team reviews our weekly Scorecard in our Level 10 Meeting, but we waste valuable time digging into why certain metrics are off-track instead of solving the issues. How do we use AI to analyze our weekly Scorecard trends beforehand so we come to the meeting ready to IDS?

Question

Tyler Smith · Accepted Answer

Your weekly Level 10 Meeting™ should be spent solving problems, not identifying them. When metrics on your Scorecard drop below their target, the owner of that seat must bring the context. You can use AI to automate this preparation.

Set up a simple workflow using a standard automation tool to connect your spreadsheet or database scorecard to an AI engine. Every Thursday evening, have the AI scan the past twelve weeks of data to flag any metrics that missed their targets or are trending downward over three consecutive weeks.

Instead of just flagging the drop, the AI can cross-reference your internal project management logs or sales pipeline updates to generate a brief, three-sentence summary of why the metric slipped. This summary is sent directly to the seat owner on Friday morning. The owner reviews the draft, adjusts it, and logs it directly as context in the Issues List.

This changes the dynamic of your meeting. Your leadership team no longer spends the first twenty minutes asking what happened. You walk into the room with clear, contextualized issues already loaded on the agenda. This allows your team to move straight into the Identify, Discuss, and Solve step, driving faster resolution and ensuring your Rocks stay on track.