GMC Risk Assessment & Mitigation 3 — Questions and Answers
Question 1: A growth team ships a feature to 100% of users without a staged rollout. What risk does this create that a phased rollout would prevent?
- Higher development cost per user affected
- Inability to isolate and quickly remediate a bug before all users are impacted (Correct answer)
- Reduced A/B test statistical power
- Longer time-to-market for subsequent features
Correct answer: Inability to isolate and quickly remediate a bug before all users are impacted
Full instant rollouts mean a critical bug affects every user simultaneously, whereas phased rollouts allow teams to catch and fix issues at small scale.
Question 2: Which of the following is an example of a leading indicator used in early risk detection for growth campaigns?
- Annual revenue churn rate
- Click-through rate in the first 48 hours of a campaign (Correct answer)
- Monthly active user count from last quarter
- Net Promoter Score from annual survey
Correct answer: Click-through rate in the first 48 hours of a campaign
Early CTR in the first 48 hours is a leading indicator that predicts campaign performance before significant budget is spent.
Question 3: What is 'survivorship bias' risk in growth marketing case studies?
- Only studying campaigns from companies that survived market downturns
- Overweighting successful tactics while ignoring the many failures using the same approach (Correct answer)
- Bias toward retaining existing users over acquiring new ones
- Selecting case studies based on recency rather than relevance
Correct answer: Overweighting successful tactics while ignoring the many failures using the same approach
Survivorship bias causes marketers to replicate tactics from visible successes while ignoring all the companies that tried the same approach and failed.
Question 4: A company's primary acquisition channel is organic search. An algorithm update drops their rankings by 40%. What risk management principle does this illustrate a failure of?
- Attribution modeling accuracy
- Channel diversification and single-point-of-failure avoidance (Correct answer)
- Content quality benchmarking
- Technical SEO compliance
Correct answer: Channel diversification and single-point-of-failure avoidance
Over-reliance on a single channel like organic search creates a single point of failure; diversification would have buffered the impact of the algorithm update.
Question 5: What is the primary purpose of a 'kill switch' in growth experimentation infrastructure?
- To permanently delete underperforming experiment variants
- To instantly revert a feature or campaign to the control state if harm is detected (Correct answer)
- To block competitors from copying experimental features
- To automatically pause ads that exceed their daily budget
Correct answer: To instantly revert a feature or campaign to the control state if harm is detected
A kill switch allows teams to immediately roll back a damaging change to all users without requiring a new deployment, minimizing exposure time.
Question 6: Which framework is specifically designed to help growth teams categorize risks by likelihood and potential impact?
- AARRR funnel framework
- Risk matrix (probability vs. severity grid) (Correct answer)
- OKR goal-setting framework
- North Star Metric model
Correct answer: Risk matrix (probability vs. severity grid)
A risk matrix plots risks on a grid of probability versus severity, helping teams prioritize which risks to address first.
Question 7: A paid social campaign is generating high click volume but users are churning within 24 hours. What type of risk does this signal?
- Creative fatigue on the ad platform
- Audience-product fit mismatch causing poor retention (Correct answer)
- Attribution window misconfiguration
- Bidding strategy inefficiency
Correct answer: Audience-product fit mismatch causing poor retention
Rapid post-click churn signals that the audience being acquired doesn't find value in the product, indicating an audience-product fit mismatch.
GMC Risk Assessment & Mitigation 3
A growth team ships a feature to 100% of users without a staged rollout.
What risk does this create that a phased rollout would prevent?