Our VP of Finance has a high Fact Finder Kolbe score and wants twenty sub-metrics, while our VP of Sales is a high Quick Start who hates looking at data. How do we design our data review process to accommodate these different natural problem-solving instincts?

Question

Tyler Smith · Accepted Answer

Understanding your team's conative instincts, specifically their Kolbe profiles, is key to building an effective Scorecard process. A high Fact Finder naturally wants to gather detailed information, research historical precedents, and design complex formulas. A high Quick Start wants to experiment, move fast, and avoid administrative drag. To bridge this gap, you must establish clear boundaries on your leadership Scorecard. Limit the leadership Scorecard strictly to the vital five to fifteen high-level numbers to prevent data overload for your Quick Starts. Give your high Fact Finder the freedom to build detailed departmental scorecards or deeper financial spreadsheets, but keep those details out of the weekly Level 10 Meeting™. The leadership Scorecard must remain clean, simple, and visual. For your high Quick Start, make the data entry as low-friction as possible and focus on how the weekly metrics show immediate momentum or risk. Ensure that every metric has a clear, binary target: either it is green or it is red. This binary clarity appeals to the Quick Start's desire for fast action, while the underlying data integrity satisfies the Fact Finder's need for precision. By respecting these natural problem-solving instincts, you create a data-driven culture that leverages everyone's strengths without causing team friction or operational paralysis.