Employee productivity is calculated by comparing output to input. Track productive hours, completed tasks, and efficiency metrics to measure overall performance.
At its recent Digital Workplace Summit in London, Gartner revealed that by 2027, at least 60% of AI initiatives will fail to meet expectations with change resistance, not technology, the primary cause. The source of that resistance is well documented.
Internal communications teams are being pulled into enterprise AI strategy at a scale the org chart doesn’t reflect. They’re shaping rollout plans, building adoption workstreams, and managing the human side of AI implementation — on top of their existing responsibilities.
Project planning rarely starts with task assignment locked in. You know the work that needs to happen, but the exact people? That often comes later. Until now, tasks in Teamwork.com required you to assign work to a specific user or team from the start. That created friction during early-stage planning, especially when task assignment decisions were still evolving.
Most teams track productivity. Few know what good actually looks like. Measuring productivity is easy. Understanding it is harder. Hours logged, tasks completed, revenue per head — these numbers only tell you so much. Without context, you can not tell if your team is performing well or just staying busy. That is where productivity benchmarks come in. They give you a reference point so performance data actually means something.
There are hundreds of time clock apps on the market, but not every option is right for every team. Some are designed for freelancers, some are built for businesses looking to track their employees’ time, some cater to different types of work environments, and some cater to specific industries.
When communication isn’t managed, the team suffers. Time is wasted tracking updates, clarifying instructions, or managing conversations across multiple tools. Important information gets buried, leading to confusion, frustration, and a serious loss of productivity. These problems only get worse as teams grow. This is where an internal communications app steps in to transform the way teams work together.
You open your project tracker and see a milestone marked as 60% complete. The problem is that nobody remembers why it’s 60%. That number was updated three weeks ago. Since then, several tasks have been completed, priorities have shifted, and the team has moved on to other work. Yet the progress percentage hasn’t changed because someone has to update it manually. This happens in more projects than most teams admit.
Search for “automatic project progress tracking software” and you’ll find dozens of tools promising the same thing. Most of them don’t deliver. Some still require teams to manually update project percentages every week. Others only track completed tasks and leave milestone reporting to project managers. A few show polished progress bars, but behind the scenes, someone still has to maintain everything manually. That usually works for a while.
Automation potential helps you discover which customer conversations are best suited for AI automation based on your real support data. Quickly uncover automatable topics, identify knowledge gaps, and preview how AI agents could respond using your existing help center content. With actionable insights and AI-generated article drafts, teams can improve self-service and expand automation with confidence.