How would you handle a situation where your data says one thing and your intuition says another?
Model answer
Model answerIntuition is a hypothesis, not a conclusion. When my gut disagrees with data, I treat it as a signal that either my intuition is wrong (most common) or the data is incomplete (also common). I'd first stress-test the data: is it measuring what I think it's measuring? Is the sample size meaningful? Is there confounding? If I still feel strongly, I'd design a small experiment to test my intuition rather than act on it blindly.
Framework · Decision Under Uncertainty
- TTreat intuition as hypothesis
Your gut is a starting point, not a conclusion — test it - SStress-test the data
Is the metric measuring what you think? Sample size? Confounding factors? - UUpdate your model
If data is solid, update your intuition — this is intellectual honesty - EExperiment if unsure
Can't decide? Design a small test to resolve the disagreement
Related questions
- What is product-market fit and how would you know if you have it?
- You have 3 features requested by customers and only 1 sprint. How do you decide?
- How would you communicate a feature delay to stakeholders?
- How do you handle a situation where engineering says a feature is impossible?
- How do you say no to a stakeholder's feature request?