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Week 05 · Scorecard

Does everyone on the team have a meaningful number they are responsible for on a Scorecard?

You can stop here, find a quiet place, and think. Everything below is optional fuel when you want more context or a thought partner.

01

A thought from the EOS Library

“Complete mastery of your Data Component is achieved when you boil the organization’s numbers down to the point where everyone has a single meaningful, manageable number to guide them in their work. This number will enable leaders to create clarity and accountability throughout their team.”
Gino Wickman, Traction, Chapter 5, The Data Component: Safety in Numbers, “Measurables.”

02

Resources to explore

The EOS links below go directly to EOS Worldwide’s website, blog, and official YouTube channel. Ben’s resources are identified separately.

EOS WorldwideThe EOS ScorecardEOS WorldwideHow to Use the EOS ScorecardEOS Worldwide on YouTubeScorecard videos on the official channelBen on Clarity2FreedomWinning the Financial GameEOS WorldwideData: Harness Your Numbers to Go from Uncertain to Unstoppable — Mark O’Donnell, Angela Kalemis, and Mark Stanley

03

Use AI for a guided Clarity Break

Copy this into the AI tool you use. It will ask one question at a time and help you discover your own answer.

Guide me through a Scorecard discovery exercise without designing the Scorecard for me. Ask me one question at a time, starting with the seats on the team and the outcomes each seat influences. For each person, help me test whether their number is weekly, meaningful, understandable, controllable enough to create accountability, and predictive enough to reveal an issue early. Challenge vanity metrics and numbers that measure activity without a useful connection to results. At the end, summarize gaps and candidate measurables to discuss with the team, including owner, definition, weekly goal, data source, and the behavior the number should drive. Flag every candidate as a discussion item rather than a final EOS Scorecard decision.

Use judgment with confidential information. Keep names, personal details, and sensitive company data out of a public AI tool unless your organization has approved that use.

04

Additional questions

  • Does every seat influence at least one useful weekly number?
  • Can the owner affect the number through their own actions?
  • Is the goal unambiguous and consistently measured?
  • Does the number help us see trouble before the financial statements do?
  • What behavior should this Measurable encourage?