7h • General Discussion 💬
Are We Measuring the Right Things?
In AI automation, we often measure progress by:• number of workflows built• tools mastered• hours saved• revenue generated
But rarely do we measure something more strategic:
Are our systems increasing decision quality?
Good automation shouldn’t just save time, it should improve the quality of thinking inside a business.
If a workflow runs fast but produces poor decisions, it’s optimized noise.
So here’s what I’m curious about:
- How do you personally measure whether your automation is truly improving outcomes, not just efficiency?
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Are We Measuring the Right Things?
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