AARRR Growth Framework & Metrics Questions

Understand the AARRR model (Acquisition, Activation, Retention, Revenue, Referral) as a mental model for thinking about growth. Know how to map growth problems to specific stages: acquisition challenges differ from retention problems. Learn standard metrics for each stage (CAC, LTV, activation rate, retention cohorts, viral coefficient). Practice identifying which stage is most relevant for a given problem.

HardTechnical

65 practiced

For a two-sided marketplace, propose how to model LTV and CAC for buyers and sellers separately, taking into account cross-side network effects. Describe metrics to capture matching health (time-to-match, fill rate), growth loops, and experiments you would run to increase supply without harming unit economics on either side.

HardSystem Design

72 practiced

Design an end-to-end growth analytics system to compute AARRR metrics and cohort retention for a product with 100M MAU that ingests both web and mobile events. Cover event collection, streaming/ETL, data warehouse/schema design, approaches for near-real-time cohorts, aggregate rollups, and monitoring/alerting for instrumentation issues.

MediumBehavioral

63 practiced

Tell me about a time you ran an A/B test that did not produce the expected positive outcome. Describe the hypothesis, experiment setup, what went wrong, how you analyzed the results, how you communicated them, and what you changed in process or product afterwards. Use STAR format.

EasyBehavioral

73 practiced

Tell me about a time you used product metrics to justify a major product decision. Describe the situation, the specific metrics you examined, how you interpreted them, what change or experiment you implemented, and what measurable outcome resulted. Use STAR (Situation, Task, Action, Result).

MediumTechnical

57 practiced

You're PM for a freemium SaaS targeting SMBs. Propose a 6-month growth playbook listing prioritized initiatives mapped to AARRR stages, KPIs for each initiative, estimated engineering/marketing effort, and how you'd measure success for each item (experiments, dashboards, criteria to scale).

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