Software Development Cycle Time - A deep dive
High cycle time could indicate risks to code quality, delivery and developer experience. Discover the causes and impact of high cycle time and what managers can do about it.
The SPACE Framework for Measuring Developer Productivity
SPACE is a framework for measuring and maximizing engineering team productivity. Read how to get a holistic view of your team’s activities using SPACE.
What is code churn?
Code churn indicates how often code changes. High code churn could, at times, be a potential red flag. How to detect unproductive churn and what to do about it?
Data-driven sprint retros in the hybrid workplace
Feedback and Continuous improvement form the bedrock of any sprint. Learn how to do them better with data.
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Remote work and distant time zones
Time zones influence remote work massively - how, why and a few tips on how to work better remotely
The Digital workplace guide for hybrid work
The digital workplace is fundamental to architecting the future of work. Discover its importance in reimagining work and how to build it successfully.
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The impact of SaaS sprawl on productivity
SaaS sprawl has a destructive effect on individual and team productivity, but new approaches to work analytics are combatting the challenge head-on. Discover how →
Maker’s schedule vs manager’s schedule
Maker’s time is at risk in the modern workplace. Discover how managers can protect makers’ schedules while keeping teams in sync.
Async stand-ups for remote teams
What are stand ups and how remote and async teams need to adopt it to the new environment.
The onus of making remote work visible need not be on workers
When remote workers are tasked with making their efforts visible, it affects productivity and well-being. Here’s a data-driven solution.
Why workplace surveillance is counter-productive
We examine why workplace surveillance is counterproductive and propose ethical and sustainable solutions to improve employee productivity.
The protagonist in the future of work – the workforce
Discover how engineering leaders can use data to build employee-centric teams that prioritize employee well-being and engagement
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