Can you describe a time when you had to work with incomplete data? How did you handle it?
Instruction: Share an example from your experience, including the steps you took to address the challenge.
Updated
Example Answer
Illustrative story: adapt the situation, actions, and outcome to your own experience before using this answer.
In a funnel analysis, I found that a product update had stopped recording an important event for some sessions. I checked the gap by app version and date before treating it as a change in user behavior. The missing sessions were not a random sample, so filling them with the average would have made the analysis misleading.
I compared the event stream with another approved data source, limited the main comparison to sessions we could measure consistently, and documented what we could not conclude. I shared that limitation with the product team and filed the instrumentation issue. We had a usable comparison for the covered group, while the broader retention question remained open.
Make it your own
Use a real missing field, broken join, sensor outage, or class-project dataset. Name the check you ran and a conclusion you withheld. If the issue was never resolved, say so.
Why this works
It shows a defensible decision under incomplete evidence.
Follow-up to practice
How did you check whether the missing records differed from the observed ones?