Content Analytics

Testing what works, iterating based on evidence, and proving content’s business impact.

This project addresses the critical intersection of user experience research and data-driven content strategy. The core challenge was to validate how specific content layouts and micro-copy impact user completion rates within complex transactional steps.

Methodology & Execution: To build an evidence-based framework, the process began with mapping detailed user personas and conducting interactive card sorting sessions to align product information architecture with organic user expectations. Qualitative data was gathered via comprehensive customer interviews and live user surveys during targeted field visits.

The Solution: By running structured usability tests and analyzing direct user behavior, we successfully translated qualitative feedback into scalable interface optimizations. The resulting analytics framework proves the explicit business impact of content adjustments—directly linking clear, validated copy choices to lower drop-off rates and higher conversion metrics across corporate digital platforms