Teams | Collaboration | Customer Service | Project Management

Have you been noticing that your call center numbers are slipping? Average Handle Time (AHT) is climbing, and First Contact Resolution (FCR) is dropping. But you can’t pinpoint why. Well, don’t mistake thinking that it’s a process or technology issue. Instead, it’s the engagement. To get more clarity, you must understand how employee engagement impacts call center productivity. Up next, I’ll explain what engagement means in a call center and the impact on productivity.

There is a particular moment most people can point to in their working lives. Not the day they got the job, or the day they got a promotion. The moment a manager sat across from them, or sent a message, or carved out an hour on a crowded calendar, and said: I think you can do more than this. Let me help you get there. It may sound small, but in employee training statistics for 2026, this kind of moment repeatedly shows up as the difference between retention and resignation.

Move from reactive workload management to proactive workforce planning using real-time, benchmark-driven visibility.

User activity monitoring often divides opinion. Some see it as an invasion of employee privacy and rights; others see it as essential for data security and protecting company systems. The truth? As workforces become more distributed and disruptive tech like AI becomes more prevalent, it’s never been more important to gain visibility over your teams and tools.

In the U.S., 53 percent of remote‑capable employees are working a hybrid schedule in 2026, 27 percent are fully remote and only 20 percent are on‑site. That means most managers now oversee distributed teams. While remote work offers flexibility, it also makes it harder to judge whether people are working effectively.

The definitive guide to choosing, using, and maximising the right apps to work from home — from time tracking and team collaboration to deep focus and project delivery.

Meta made headlines this week when Reuters reported the company is installing tracking software on U.S. employee computers, capturing mouse movements, clicks, keystrokes, and periodic screen snapshots as training data for its AI models. The program, called the Model Capability Initiative, sits inside Meta's broader push to build AI agents capable of performing knowledge work autonomously. Meta was quick to add a qualifier: the data will not be used for performance evaluations.

Loved our blogs? Find more wAnywhere perspectives on productivity and compliance Set as a preferred Google source Table of Contents Modern businesses face an exploding demand for security and compliance solutions. With the compliance management software market hitting $68.4B in 2026, 81% pursue ISO 27001 and 58% adopt SOC 2 amid rising audits.

Your project management stack is probably held together with duct tape and good intentions. I know because I've seen it firsthand across hundreds of client-facing teams. The pattern is always the same: one tool for task tracking, another for time logging, a spreadsheet for resource planning, and a prayer that nothing falls through the cracks. What we see across Teamwork.com customers is that this tool sprawl isn't just annoying. It's expensive.

Move from reactive hiring to proactive workforce planning using data-backed productivity benchmarks.