We covered topics
- Your journey into becoming an AI specialist
- What has that taught you about helping leaders make important decisions when the data is incomplete?
- Which argument from Douglas Hubbard’s book, How to Measure Anything, are we focusing on for today's conversation?
- Can you explain further why measurement does not need to eliminate uncertainty and only reduce it?
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- How do we build trust with business leadership on any cost model?
- What indicators do we have to look for to know the HR Leader is trusting the formula?
- How do we conclude if HR trusts the numbers?
- How do we transfer confidence to the HR Leader to make the connection with business impact?
- Are reputational risk, opportunity cost, and damaged client relationships a strong enough business case to defend?
- What separates a credible business-impact argument from a chain of speculative claims?
- What language would help the HR Leader deal with internal uncertainties?
- How do we build conviction in creating a correlation between leading signals and the investment decision?
- How do we overcome an investment decision with the risk of uncertainty when we know causation can't be proved in 90 days Pilot?
- What would make the results strong enough to approve further investment?
- How does someone trained in measurement under uncertainty think about using correlational signals like these to justify a budget decision?
- What is one thing a DEI consultant should change about how they present numbers to an HR leader or CFO?
- When should a leader be confident enough to say, “We do not know everything, but we know enough to act”?
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Important Links
Guest - LinkedIn ( https://www.linkedin.com/in/gkhayes/ )
Website - valuedrivendatascience.com
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