Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

As AI continues to influence and reshape enterprise operations, chief information officers (CIOs) and other IT leaders are under increasing pressure to quantify the value AI delivers. But productivity ...

In recent years, the integration of eye-tracking technologies in laptop webcams has introduced a new dimension to employee productivity metrics. This technological advancement promises enhanced ...

Agile methodology, a process that breaks down larger projects into smaller phases and focuses on constant improvement, is one of the more collaborative methods of project management. As such, ...

Here’s a little bit of snark from developer John Crickett on X: Software engineers: Context switching kills productivity. Also software engineers: I’m now managing 19 AI agents and doing 1,800 commits ...

There is a huge problem with trying to increase productivity in functions, processes and in business teams. Measurements of productivity look at the efficiency of a task. The assumption: if companies ...

With the rise of AI-generated code, development teams must become smarter about how they conduct code reviews, apply security tests, and automate their testing. Imagine a world where measuring ...

Opinions expressed by Entrepreneur contributors are their own. You can’t possibly evaluate every team based on the same criteria. What constitutes success for a marketing team will differ vastly from ...

Since the first industrial revolution, improving productivity has been a major goal for most manufacturing operations. Today, in the middle of the fourth industrial revolution, that hasn’t changed.

Business leaders have a productivity problem. When it comes to measuring worker performance, organizations have usually relied on traditional productivity metrics to judge the success of an employee.

A survey of 500 US and UK software developers conducted by J L Partners has found that 70% of software projects fail to be delivered on time, despite 83% of developers saying delivery performance is ...