What interview question best signals a candidate's growth-marketing ability?
7 recorded positions from 5 people, first said Sep 22, 2021. They do not agree — the readings below are what each one actually argued.
Also on the record
Casey Winters · Sep 22, 2021
The best test of data thinking is a diagnostic case: give a metric movement and see whether the candidate reasons about base rates, comparative datasets, and isolating variables rather than immediately slicing dimensions
At a startup every metric is up year over year, so the right instinct is to check the comparison case (e.g. weekdays vs weekends) before hunting for a cause
15:03 Diagnostic metric movement case testing base rate reasoning is the best signal of data thinking
Hila Qu · Jan 18, 2023
Asking a growth candidate for their most unexpected experiment result, and what they did next, is the most revealing interview question
Candidates prepare their most successful experiments in advance, so asking for unexpected results surfaces how they actually dissect findings and decide next steps
29:48 Asking for the most unexpected experiment result reveals how candidates actually dissect findings
Guillaume Cabane · Nov 29, 2023
Asking growth candidates about video games — the platform, the rules, their winning strategy — is a strong signal for growth ability
Growth is understanding the rules, thinking outside the box, and making valuable risk-adjusted bets, which is exactly what a good game player does
49:39 Video game strategy questions reveal growth thinking ability
Adam Grenier · Mar 15, 2023
Probing candidates on how they would grow new, more frequent and higher-quality engagement is a strong growth interview question because most growth people only think about acquisition
It tests both down-funnel customer need and the ability to prioritize and operate experiments beyond ads and landing page tests
20:36 Probing growth beyond acquisition into frequency and quality of engagement signals broader thinking
Mike Duboe · Feb 15, 2023
'Pick your favorite product and tell me how it grows' is a high-signal early filter question for growth candidates
It reveals whether someone understands growth as a system and can think holistically rather than citing a single case study or anecdote, and it tests both quantitative reasoning and user psychology
21:11 Asking candidates to explain how their favorite product grows reveals systemic growth thinking
Mike Duboe · Feb 15, 2023
Asking a growth candidate about a time they failed matters more for growth roles than for others, because you're screening for risk appetite and willingness to learn from failure
Failure is inherent to the experimentation process, and the worst behavior in a growth role is covering up or not acknowledging failures instead of learning from them
22:22 Asking about past failure screens for risk appetite and willingness to learn especially for growth roles
Mike Duboe · Feb 15, 2023
Asking a candidate for a prioritized experiment roadmap for a given feature is a good exercise because it tests whether they have a triage system and an ROI mindset
Running a growth team requires a system for triaging experiment ideas; candidates who bring a laundry list down to button colors without higher-order context reveal a lack of prioritization
23:36 Prioritized experiment roadmap exercise tests triage system and roi mindset
Your assistant can query this graph directly — 7 positions here, 19,646 across the corpus. Add 996.fm over MCP.