Our visionary founder has a high Quick Start drive and hates logging weekly numbers, often guessing them at the last minute. How do we structure the data collection process so we get accurate numbers without fighting their conative makeup?
Visionary founders with a high Quick Start conative drive naturally resist the daily administrative discipline required to track scorecard metrics. According to the Kolbe model, their mental energy is hardwired for innovation, risk taking, and momentum, not for gathering historical data or maintaining rigid systems. Forcing them to manually pull reports will only lead to frustration and inaccurate numbers.
To solve this, you must separate the accountability for the metric from the task of gathering the data.
Under the EOS Accountability Chart, the owner of the seat is fully accountable for the number being green. However, they do not have to be the person who physically types the data into the scorecard.
Delegate the data collection task to a team member with a strong Follow Thru or Fact Finder conative profile. This could be an executive assistant, an operations coordinator, or an automated software system. This person is responsible for gathering the raw data, validating its accuracy, and updating the scorecard before the weekly Level 10 Meeting.
The high Quick Start founder still owns the metric. During the meeting, they must still stand behind the result and lead the effort to IDS the issue if the number is red. This structure respects the founder conative strengths while maintaining the operational rigor your business needs to scale. You get accurate, reliable data without forcing a round peg into a square hole.
Category: Scorecards & Data