Growth marketing managers own outcomes, not channels — the interview should test whether a candidate can find the biggest lever in a funnel, run disciplined experiments against it, and rally other teams to ship the fixes. Pick 10-12 of the questions below for a round at {{Company name}}, keep the set consistent across candidates, and score against the guidance notes.

Growth strategy and funnel thinking

• Map our funnel as you understand it, and tell me where you would look first for the biggest constraint.
• Tell me about a growth model you built. What were the inputs, and how did reality differ?
• How do you decide whether the priority is acquisition, activation, retention, or monetization?
• Describe a time you found growth in a place nobody was looking.
• What is the difference between a growth loop and a funnel, and why does it matter?
• How would you set a north-star metric for a product like ours, and what guardrails would you pair with it?

What good looks like: strong candidates reason from the model to the tactic, not the other way around — they ask about our numbers before proposing plays, size opportunities before picking one, and name the constraint they would attack first with a because attached. Generic playbooks recited without reference to our funnel are a red flag at this level.

Experimentation and testing

• Walk me through your experiment pipeline: how ideas enter, get prioritized, get built, and get judged.
• How do you prioritize experiments when you can only run three this month?
• Tell me about an experiment that failed but changed your roadmap anyway.
• How do you avoid shipping false positives when tests are underpowered?
• What share of your experiments should win, and what does it mean if too many do?
• Describe the most creative experiment you have run with near-zero budget.

What good looks like: look for a real system — an ideas backlog with a scoring method, explicit hypotheses, minimum sample thinking, and honest post-mortems. The best candidates volunteer their win rate and their misses; candidates who claim every test won either ran too few or judged them loosely.

Analytics and data fluency

• What does your ideal growth dashboard contain, and how often do you look at it?
• Tell me about a time you caught a data quality issue that others had built decisions on.
• How do you attribute results when several initiatives ship in the same quarter?
• Cohort analysis: what has it told you that a topline chart could not?
• How comfortable are you querying data yourself versus waiting for an analyst, and where is your limit?

Channel depth and diversification

• Which channel do you know deepest, and what would you teach me about it in two minutes?
• How do you decide when to double down on a working channel versus diversify?
• Tell me about scaling a channel until it broke. What broke first?
• How do you evaluate emerging channels without chasing every shiny thing?
• What role does brand play in a performance-driven growth strategy?

Lifecycle and retention

• Describe a lifecycle program you built — triggers, messages, and measured impact.
• How do you diagnose why users churn in their first week?
• What is your approach to win-back campaigns, and when are they not worth running?
• How do you balance email frequency against list fatigue?

Cross-functional leadership

• Growth work often needs engineering time you do not control. How do you get it?
• Tell me about a disagreement with a product manager over roadmap priorities. How did it end?
• How do you keep leadership confident during a quarter with no wins?
• How do you share learnings so the whole company gets smarter, not just your team?