CCRS Data Analysis & Customer Feedback 5 — Questions and Answers
Question 1: A retention analyst notices a spike in negative feedback after a product update. The best immediate action is to:
- Disable the product update immediately
- Quantify the scope, identify affected segments, and escalate to product teams (Correct answer)
- Send a mass apology email to all customers
- Reduce pricing for all customers
Correct answer: Quantify the scope, identify affected segments, and escalate to product teams
Scoping the issue and escalating with data allows product teams to address root causes while retention teams manage at-risk accounts.
Question 2: Which approach helps distinguish between customers who churned due to price versus those who churned due to product dissatisfaction?
- Monitoring social media mentions
- Exit survey segmentation and reason-code analysis (Correct answer)
- Reviewing payment histories only
- Calculating average revenue per user
Correct answer: Exit survey segmentation and reason-code analysis
Exit surveys with coded reason categories allow analysts to quantify churn drivers and prioritize retention interventions accordingly.
Question 3: Lagging indicators in customer retention analysis are best described as metrics that:
- Predict future churn risk
- Reflect outcomes that have already occurred (Correct answer)
- Measure real-time engagement
- Drive proactive customer outreach
Correct answer: Reflect outcomes that have already occurred
Lagging indicators like churn rate and revenue loss confirm past outcomes rather than enabling proactive intervention.
Question 4: A company wants to prioritize which at-risk customers to contact first. The most data-driven approach is to:
- Contact the most recently acquired customers first
- Rank customers by predicted CLV loss combined with churn probability score (Correct answer)
- Reach out alphabetically by last name
- Focus only on customers who submitted complaints
Correct answer: Rank customers by predicted CLV loss combined with churn probability score
Combining CLV with churn probability ensures retention efforts focus where the potential revenue impact is highest.
Question 5: Which sampling method ensures all customer segments are proportionally represented in a feedback survey?
- Convenience sampling
- Stratified random sampling (Correct answer)
- Snowball sampling
- Systematic sampling
Correct answer: Stratified random sampling
Stratified random sampling divides the population into subgroups and samples proportionally from each, ensuring balanced representation.
Question 6: When a customer's engagement score drops significantly in one month, this signal is called a:
- Positive retention trigger
- Early warning indicator or churn signal (Correct answer)
- Satisfaction milestone
- Upsell opportunity
Correct answer: Early warning indicator or churn signal
A sudden drop in engagement is a predictive churn signal that should trigger proactive outreach before the customer formally cancels.
Question 7: Which data governance practice is most critical when handling customer feedback containing personally identifiable information (PII)?
- Sharing data freely across all teams to maximize insight
- Anonymizing or pseudonymizing data and enforcing access controls (Correct answer)
- Retaining all raw feedback indefinitely
- Publishing aggregate results that include individual names
Correct answer: Anonymizing or pseudonymizing data and enforcing access controls
Anonymizing PII and limiting data access protects customer privacy and ensures compliance with regulations like GDPR and CCPA.
CCRS Data Analysis & Customer Feedback 5
A retention analyst notices a spike in negative feedback after a product update.
The best immediate action is to: