Post-Pandemic Hybrid Work in Software Companies: Findings from an Industrial Case Study

TL;DR

This study investigates how software professionals experience post-pandemic hybrid work, revealing multiple influencing factors and emphasizing the need for tailored hybrid work configurations rather than a universal approach.

Contribution

It provides empirical insights into the diverse factors affecting hybrid work choices in software companies through a large case study.

Findings

Factors influencing hybrid work include preferences, work-life balance, and commute time.

Team dynamics and organizational strategies significantly shape hybrid work arrangements.

No single hybrid work model fits all in the software industry.

Abstract

Context. Software professionals learned from their experience during the pandemic that most of their work can be done remotely, and now software companies are expected to adopt hybrid work models to avoid the resignation of talented professionals who require more flexibility and work-life balance. However, hybrid work is a spectrum of flexible work arrangements, and currently, there are no well-established hybrid work configurations to be followed in the post-pandemic period. Goal. We investigated how software engineers are experiencing the post-pandemic hybrid work landscape, aiming to understand the factors that influence their choices between remote and in-office work. Method. We explored a large South American company by collecting quantitative and qualitative data from 545 software professionals who are currently navigating diverse hybrid work arrangements tailored to their individual and team requirements. Findings. Our study revealed an array of factors that significantly impact hybrid work within the software industry, including individual preferences, work-life balance, commute time, social interactions, productivity, and more. Team dynamics, project demands, client expectations, and organizational strategies also play an important role in shaping the complex landscape of hybrid work configurations in software engineering. Conclusions. In summary, the success of hybrid work models depends on balancing individual preferences, team dynamics, and organizational strategies. Our study demonstrated that, at present, there is no one-size-fits-all individual approach to hybrid work in the software industry.