Data Collection & Analysis Interview Questions

Using conjoint analysis in product development involves: 1) Feature Selection - Identifying key product attributes and levels to test 2) Experimental Design - Creating efficient combinations of features 3) Data Collection - Gathering customer preferences through choice-based experiments 4) Utility Calculation - Determining the value of each feature level 5) Importance Calculation - Identifying most influential features 6) Price Sensitivity Analysis - Understanding willingness to pay for features 7) Market Simulation - Predicting market share for different configurations 8) Competitive Analysis - Comparing proposed features against competitors 9) Segmentation Analysis - Identifying preference differences across segments 10) Optimization Modeling - Determining optimal feature combinations 11) Cost-Benefit Analysis - Balancing feature value against development costs 12) Implementation Planning - Prioritizing feature development based on results.

Behavioral segmentation using data involves: 1) Purchase Pattern Analysis - Examining frequency, recency, and monetary value 2) Usage Analysis - Studying product/service usage patterns 3) Customer Journey Mapping - Tracking interactions across touchpoints 4) Engagement Scoring - Measuring interaction levels across channels 5) Lifecycle Stage Analysis - Identifying customer lifecycle positions 6) Channel Preference - Understanding preferred communication channels 7) Response Analysis - Evaluating reactions to marketing activities 8) Cart Behavior - Analyzing purchase completion patterns 9) Category Analysis - Studying cross-category purchase behavior 10) Loyalty Program Participation - Examining reward program engagement 11) Digital Behavior Tracking - Analyzing online interaction patterns 12) Predictive Modeling - Forecasting future behavior patterns.