Earlier analysis · 2022

Airline Passenger Satisfaction

Organising 120,000+ passenger evaluations into an actionable view of service experience.

Role
Data analyst
Tool
Power BI
Dataset
120K+ passengers
Brief
Maven Analytics

The question

The dataset combined passenger profiles, flight and travel details, and ratings for cleanliness, comfort, service, and the overall experience. The task was to find a clearer basis for a data-informed strategy to increase satisfaction.

Airline passenger satisfaction dashboard with traveller and service comparisons
Passenger-satisfaction report combining experience and traveller segments.Open full-size image ↗

Approach

I organised the analysis around traveller segments and service touchpoints, allowing overall satisfaction to be compared across customer type, travel class, purpose, and experience ratings. This helped move the report from a list of scores toward a view of where experience improvements could be concentrated.

What it demonstrates

The project demonstrates early experience handling a large, multi-variable service dataset and translating it into a concise dashboard. It also laid the foundation for my current emphasis on medians, distributions, uncertainty, and carefully bounded recommendations.