Credit for Every Touch
A medium Pipeline Design mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Pipeline Design
- Difficulty
- medium
- Seniority
- L6
Interview Prompt
Our marketing analytics platform stitches together ad spend from Google and Facebook, CRM opportunities from Salesforce, and web session data from multiple clients. The attribution model needs to give credit to every touchpoint in the customer journey before a conversion, but the data quality is inconsistent across sources and some of them don't expose an updated_at field, which makes incremental processing painful. Design a transformation pipeline that handles these sources reliably and keeps attribution fresh enough for daily campaign decisions.
Summary
They saw the ad, clicked the email, then bought. Who gets credit?
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your pipeline design solution with real code execution
- Get instant feedback and a hire/no-hire decision