We suspect our managers are occasionally guessing or using approximate estimates for their weekly scorecard numbers because pulling the exact data is tedious. How do we establish a standard for data integrity on our Scorecard without spending hours auditing the numbers?

Question

Tyler Smith · Accepted Answer

If you cannot trust your scorecard data, you cannot run your business on data. Approximate estimates and guesswork destroy the value of the Scorecard. You must establish an absolute standard for data integrity, and it starts with making data collection friction-free.

If pulling numbers is tedious, look at how you can leverage simple AI-powered automations or API integrations to pull raw data directly from your CRM, project management tools, or accounting software into your scorecard sheet. This removes the manual labor and eliminates human error or bias.

However, automated or not, the seat owner remains fully accountable for the accuracy of their numbers. Implement a simple rule: if a number is on the Scorecard, the owner must be able to verify its source in thirty seconds or less.

During your Level 10 Meeting™, if a number seems suspicious, drop it to the Issues List. Use IDS® to identify why the data is difficult to retrieve. Often, the issue is not lazy management, but poorly defined processes or fragmented systems. Solve the underlying system issue so that clean, accurate data flows naturally. Establishing this discipline ensures your data is reliable, which is critical for making confident leadership decisions and preparing your business for an eventual clean exit.