Build a Churn Prediction Model
Build a Churn Prediction Model
Your task is to design and outline the development of a churn prediction model for a consumer product. The primary business objective is to identify users who are likely to churn, enabling the product or marketing team to implement timely interventions.
Address the following key aspects of model development:
- How would you define the prediction label and establish the prediction horizon?
- What features would you consider for the model, and what strategies would you employ to prevent data leakage?
- Which model families would you evaluate for this problem?
- Describe your approach to evaluating the model's performance, both offline and online.
- If a tree-based model significantly outperforms a logistic regression model, how would you explain this observed difference in performance?
AI interview prep
Core dilemma
Balancing predictive accuracy and model interpretability with the operational constraints and business actionability of churn interventions, while managing the dynamic nature of user behavior and data freshness.
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Build a Churn Prediction Model
Build a Churn Prediction Model
Your task is to design and outline the development of a churn prediction model for a consumer product. The primary business objective is to identify users who are likely to churn, enabling the product or marketing team to implement timely interventions.
Address the following key aspects of model development:
- How would you define the prediction label and establish the prediction horizon?
- What features would you consider for the model, and what strategies would you employ to prevent data leakage?
- Which model families would you evaluate for this problem?
- Describe your approach to evaluating the model's performance, both offline and online.
- If a tree-based model significantly outperforms a logistic regression model, how would you explain this observed difference in performance?