2 min lesson
Task 3 - propose the feedback loop
Work through this: "Your first-pass query reports a 38% capture → qualified rate. The interviewer notes the raw stage_events table has many more rows than there are leads. What's the most likely error and how do you fix it before defending the number?"
Step 1 of 3
Task 3 - propose the feedback loop
The round closes by asking what you'd do with the number. A GTM engineer doesn't just report conversion; they wire it back into the system so it improves.
- 1Find the leak. The query already exposes which segment has the worst capture→qualified rate; start there.
- 2Form one hypothesis. Low rate in the 'unknown' segment likely means missing enrichment, so those leads never clear the ICP threshold.
- 3Close the loop in the system. Feed won/lost outcomes back as labels to recalibrate score weights and add an enrichment retry for the segment that's starved of firmographics.
- 4Re-measure on the same definition. Watch the same cohort conversion after the change so you're comparing like with like, not a moved goalpost.