Remote work has been thrust upon us, but are business leaders ready for it?
More than half of U.S. companies now plan on making working from home a permanent option. However, most of us still don’t know what an optimal business machine with remote operations looks like simply because reaching that point requires years of trying, testing and adapting.
One major thing we haven’t all realized yet is that, without the visibility of face-to-face contact, data is essential in tracking employee progress and well-being, as well as the company’s overall health.
And not just any data — granular (ideally automatic) data is needed to give us accurate insights and stop us from making burdensome mistakes, especially in tech companies where even more of the work effort is purely digital. Take productivity. If we were to focus on people’s work hours alone, we’d likely get the wrong picture. Half of software developers have been working more during quarantine. But what does this tell us about the toll this workload is taking on their mental health? Or the quality of their work, and how much extra time is going toward bringing their tasks up to scratch? Nothing at all.
Putting data at the core of project management is not about Big Brother; far from it. Data isn’t inherently good or bad; it just gives you the tools to implement intelligent strategies and reduce errors. If anything, it will minimize the number of times you have to interfere with employees to ask for updates and micromanage.
Embracing data to create your new remote-ready project management strategy will enhance you and your team’s work lives in the following ways.
Reduce wrong decisions
Managers don’t have accurate visibility into remote employees’ productivity. Radio “silence” from team members can be misinterpreted to mean they’re not working enough, especially independent workers like software engineers. You might think you wouldn’t notice if they spent half their work hours on a coffee break, and your mind can run away with you. (The opposite — for those who talk too much — is also true).
However, a digital lifestyle produces digital indicators. Data-driven project management tools such as Wrike can tell you about employee output, but also about iterations and quality indicators on the same task. Such as how many times a pull request went back to a developer, why (due to error or for minor improvements?), or how many other employees stepped in to help before the final product was achieved.