Working-from-Home Life & Burnout
A data story exploring the relationship between remote work conditions and burnout, based on a dataset of 1,600 survey responses — with findings that challenge common assumptions.
Overview
This data story explores the reasons behind burnout in the context of remote and hybrid work. Drawing on a dataset with 1,600 samples, it tests common assumptions about what drives burnout — and surfaces patterns that may surprise you.
Methodology
Survey data was cleaned and structured using Python. Relationships between work conditions, autonomy, social factors, and reported burnout were explored through a series of interactive visualisations built with D3.js.
Findings
Contrary to a common narrative, the physical environment of remote work was less strongly linked to burnout than task completion.
Takeaways
Open datasets on workplace conditions offer rich material for data stories that go beyond surface-level correlations — and challenge received wisdom about how we work.
Data Sources
Ratings use the ODON Open Data Maturity Model (ODMM).
Tools Used
- Python
- D3.js
External Links
ODON is a Vienna-based non-profit making open data accessible and impactful. We produce data stories like this as part of our Data Services offering.