After the affinity diagram, we organized the data to map out the situations shoppers faced during their shopping journeys paired with their typical responses. This allowed us to see a more holistic and detailed view of the customer experience within a physical store, and visualize the customer needs and pain points.
Making sense of the data
With organizing the key observations we gathered from expert interviews, shop-alongs, and user interviews, we combined those with our previous secondary research, and came up with our key research insights. We did this through athematic analysis, which allowed us to understand the relationship between the observations and the causal relationships.This allows us to generate key insights from research along with potential opportunities that we can improve.
Data coding & mapping
Design principles
Athematic analysis