Analytics Case

Average ETA has increased according to our metrics. What steps would you take to analyze this? What alternative randomization units can be used in place of individual users?

Data Scientist

Lyft

Zomato

Did you come across this question in an interview?

  • We have a dashboard tracking our metrics, and average ETA is up by 3 minutes. How would you investigate this problem? What other methods besides user are there to use as your unit of randomization?
  • Average ETA has increased according to our metrics. What steps would you take to analyze this? What alternative randomization units can be used in place of individual users?
  • With an increase in average ETA as shown on our dashboard, what would be your investigative approach? Can you suggest other elements for randomization besides the user level?
  • How would you investigate a three-minute increase in average ETA as indicated by our metrics? What are some other randomization units you might consider apart from users?
  • What investigative measures would you employ to understand the surge in average ETA? Beyond user-based randomization, what other methods can you employ?
  • If our average ETA has gone up, what process would you follow to find the cause? What other units of randomization could you utilize besides user?
  • How would you delve into the issue of rising average ETA as reported by our tracking metrics? Excluding users, what other entities could serve as a basis for randomization?
  • What's your strategy for examining the reasons behind the increased average ETA on our dashboard? Could you identify other units for randomization in a controlled experiment, aside from users?
  • Our dashboard indicates a longer ETA. How would you determine the reasons for this change? What are some non-user entities that you might use for randomization purposes?
  • What would be your first steps in investigating why the average ETA has risen as per our dashboard metrics? Apart from using users, what are other potential randomization units?
  • The dashboard shows a rise in average ETA; how would you go about troubleshooting this issue? Aside from users, what other units could be randomized in experiments?
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Interview question asked to Data Scientists interviewing at Zomato and Lyft: Average ETA has increased according to our metrics. What steps would you take to analyze this? What alternative randomization units can be used in place of individual users?.