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๐——๐—ฎ๐˜๐—ฎ ๐—š๐—ถ๐˜ƒ๐—ฒ๐˜€ ๐—จ๐˜€ ๐—ข๐˜…๐˜†๐—ด๐—ฒ๐—ป

Updated: Jul 9



Athletically, oxygen is necessary for burning carbohydrates, fats, and proteins that turn it into energy. In business, using pure data to drive growth is like using oxygen to run fast โ€“ itโ€™s necessary to perform optimally.

Metrics offer insights to facilitate better decisions, improve infrastructure, and better reach customers.

โ€œ๐ˆ๐Ÿ ๐ฒ๐จ๐ฎ ๐œ๐š๐งโ€™๐ญ ๐ฆ๐ž๐š๐ฌ๐ฎ๐ซ๐ž ๐ข๐ญ, ๐ฒ๐จ๐ฎ ๐œ๐š๐งโ€™๐ญ ๐ข๐ฆ๐ฉ๐ซ๐จ๐ฏ๐ž ๐ข๐ญ.โ€ โ€“ Peter Drucker

When encouraging a data-driven approach, I emphasize learning over judging. The first pass at collecting data creates a baseline.


No one starts at their best. The goal is to keep improving.

The data doesnโ€™t always show positive outcomes. Knowing bad news is valuable because that allows applying solutions prior to a crisis.

Each area of the company stands to gain through data


Sales: Determine which behaviors lead to successful outcomes and how to best reach target clients


Marketing: Prove which types of engagement increase responses (e.g. A-B testing*)


Finance: Model investments, run scenarios, and predict cash flow to increase your optionality


Product: Discover your ideal customers and workflow and enhance the development process


IT: Maximize productivity for your team and sustain uptime for customers


People Operations: Apply best hiring practices to recruiting, retaining, and compensating high performers equitably

In the absence of data, we rely on intuition which can be biased.**


Want to build the right approach?


Here are the steps needed to build or level up your data gathering process:

  • Decide on an audacious goal for why you will improve metrics***

  • Determine the resources needed (people, software, overhead)

  • Realize the approach does not have to be overly complex or costly to start, since some information is better than none.

  • Share and discuss findings regularly to benefit from insights



What Can Go Wrong in a Data-Driven Culture?


Gathering data cannot replace thinking. I encourage founders to have a clear vision first, and then determine necessary metrics.

โ€œ๐‘ป๐’ ๐’‚๐’”๐’Œ ๐’•๐’‰๐’† '๐’“๐’Š๐’ˆ๐’‰๐’•' ๐’’๐’–๐’†๐’”๐’•๐’Š๐’๐’ ๐’Š๐’” ๐’‡๐’‚๐’“ ๐’Ž๐’๐’“๐’† ๐’Š๐’Ž๐’‘๐’๐’“๐’•๐’‚๐’๐’• ๐’•๐’‰๐’‚๐’ ๐’•๐’ ๐’“๐’†๐’„๐’†๐’Š๐’—๐’† ๐’•๐’‰๐’† ๐’‚๐’๐’”๐’˜๐’†๐’“.โ€ โ€“ Jiddu Krishnamurti

Iโ€™ve seen companies fashion vanity metrics to justify their awesomeness but not apply to industry expectations.

Finally, some founders get love-struck over beautiful financial models which relay the future they hope to see (perhaps intentionally), yet the data was wrong. However, mirrors and artwork shouldn't direct business.



Data is a tool, and the effectiveness of a tool always depends on the intention and the users. Metrics help you achieve the best outcomes.

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Really excited to share a photo of my friend Ruthlyn Greenfield-Webster, RN. Sheโ€™s an amazing athlete inducted into the Athletics Hall of Fame at the University of Pennsylvania, a national, regional, & world champion in the Triple Jump, dedicated nurse and loved mother.


Photo by Dave Albo who can be found here: https://www.lane1photos.com/


* Post on A-B Testing can be found here: www.webuildscalegrow.com/post/d46e1519


** Post on cognitive bias can be found here: www.webuildscalegrow.com/post/f19935f0


*** Posts on organizational change here: https://bit.ly/3xIeIzO and https://bit.ly/3wT33hN

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