Case Study: Bank Executive Search

Content coming soon.

Our Approach: The Paz Consumer Intelligence Framework

Understanding consumers requires more than surveys and focus groups — it demands a structured approach to peeling back layers of stated preference, observed behaviour, and unconscious motivation. Our Consumer Intelligence Framework is designed to capture all three.

Phase 1: Behavioral Hypothesis Development

We start not by asking what you want to learn, but by examining what your consumers are actually doing. Working with your team, we analyse existing behavioral data — purchase patterns, engagement metrics, customer service interactions, churn signals — to develop hypotheses about the underlying drivers. This data-first approach ensures our research is grounded in reality, not assumptions. By the time we design a study, we already have a working model of consumer behaviour that our primary research will validate, refine, or overturn.

Phase 2: Research Design for Depth and Breadth

Most consumer research programs need both breadth (how widespread is this behaviour?) and depth (why does it happen?). We design multi-method studies that capture both dimensions efficiently. Our methodological toolkit for consumer studies includes:

Most consumer research programs need both breadth (how widespread is this behaviour?) and depth (why does it happen?). We design multi-method studies that capture both dimensions efficiently. Our methodological toolkit for consumer studies includes:

The right combination depends on your question, your category, and where your knowledge gaps are deepest.