Our automated dashboard pulls real-time data for our weekly Scorecard, but our leadership team spends the first ten minutes of the Level 10 Meeting™ arguing about whether the automated system is pulling the correct numbers. How do we resolve this data trust gap?

Question

Tyler Smith · Accepted Answer

Spending the first ten minutes of your Level 10 Meeting™ debating the accuracy of automated dashboard metrics is a major operational waste. When your leadership team does not trust the numbers on the Scorecard, they will not use them to make decisive actions. This data trust gap completely undermines the value of your weekly pulse.

To resolve this, you must hold the metric owner, not the automated system, directly accountable for data integrity. Every single number on your Scorecard must have one name assigned to it on the Accountability Chart.

That person is responsible for ensuring the metric is accurate, current, and validated before the meeting starts. If the automated dashboard pulls a number that looks incorrect, it is the metric owner's job to investigate and correct the system before they enter the room.

Establish a hard rule: once the Level 10 Meeting™ begins, the numbers on the Scorecard are treated as absolute truth for that ninety-minute session. There is to be no debating the data's validity during the review.

- If a metric is red, it is flagged as an issue and dropped to the Issues List.
- During IDS, if the metric owner suspects a system glitch, they must take a weekly to-do to audit the data pipeline and report back next week.
- Never allow a technical glitch to become an excuse for poor performance.

By forcing individuals to own their numbers, you drive them to audit their automated tools regularly. This builds a data-driven culture where your dashboard becomes a reliable early warning system rather than a source of weekly frustration and debate.