A cocktail of biases, blind spots, and bad incentives

More important than data literacy.

than tech stacks

tech budgets

or org headcount.

While your leadership might lack any skills, priority, or growth in any of those areas, that is not what’s lacking.

An organization that takes data seriously doesn’t need to spend time on data literacy courses.

Or waste money buying new tech tools.

Or splurge on hiring the best and brightest.

The gap, for both data leaders and executive leaders, is a coherent model for decision-making.

They are constantly making decisions. About what to buy, sell, grow, disband, adjust, scale, prioritize, and eliminate.

How does data play a role in your decision-making framework?

Most leaders trust firmly in their experience and the expertise of the leaders around them. But it leaves them exposed to a variety of biases, blind spots, and bad incentives.

An organization that prioritizes data will

→ Know their outcomes

→ Make decisions that close that gap in their outcomes

→ Use data to make the best decisions possible.

If you want data to be meaningful to your org. Connect it to the decisions that need to be made. And connect those decisions to the ultimate outcome your organization wants.

I’m here,

Sawyer

from ​The Data Shop