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Questions in this area will test your approach to hypothesis-driven product development. You should be able to articulate how you design, conduct, and learn from experiments, and how this informs your product strategy. It's not just about conducting experiments, but how they systematically inform and refine your product approach.
When faced with multiple possible experiments, how do you decide which ones to conduct first? Could you walk me through your process for prioritizing experiments and explain why this approach works for you?
Tell me about a time when an experiment didn’t go as expected. What was the hypothesis, what did you discover, and how did it inform your future product decisions?
Imagine you’re running an experiment on a product feature. How would you decide if the experiment was successful or not? Walk me through the metrics you would use and why those particular metrics matter.
How do you use customer feedback when designing experiments for product features or improvements? Give me a specific example of how user input influenced an experiment you ran.
In your approach to setting up experiments, how do you account for ethical considerations? Can you share an example of how you ensured an experiment was conducted ethically?
Can you explain how you’ve utilized experimentation to assess and validate the product-market fit for a feature or product? What was your approach, and how did the results guide your next steps?
After running an experiment, talk to me about the role of data analysis in your process. How do you go from data to decision-making? Give me a specific example to illustrate your approach.
Discuss the importance of scalability and reproducibility in your experimental designs. How do you make sure the findings from your experiments can be replicated and scaled across your product?
Experiments often require cross-functional collaboration. Can you give me an example of how you worked with other teams, such as engineering or marketing, during an experiment? What challenges did you face, and how did you overcome them?
The market can change rapidly. How do you modify your approach to experimentation when faced with such volatility? Can you provide a specific example of adjusting your experiment plan to adapt to new market conditions?