Our leadership team gets bogged down trying to identify the root cause of our problems during our Level 10 Meetings. Can AI help us run a better IDS session?

Question

Tyler Smith · Accepted Answer

Yes, but only if you use AI as an objective analytical tool rather than a decision-maker. Leadership teams often struggle during the Identify stage of IDS because personal biases, emotional narratives, and differing conative styles cloud the actual problem.

To use AI effectively here, you can feed historical operational data, customer feedback loops, and Scorecard trends into a secure AI instance before your meeting. Ask the AI to analyze the data and look for hidden correlations. For example, the AI might identify that a drop in customer satisfaction scores always follows a spike in employee overtime three weeks prior.

This provides your team with objective, Fact Finder insights. When you sit down for your Level 10 Meeting, you are not guessing at the root cause. You have a data-driven hypothesis to test.

During the Discuss phase, the leadership team must bring their human experience, intuition, and cultural alignment to the table. AI can present the data, but your team must decide if the proposed solution aligns with your Core Values and V/TO. Use AI to uncover the cold, hard facts so your team can focus their energy on solving the actual issue.