Teams | Collaboration | Customer Service | Project Management

Learn how overtime tax is calculated, dispel some common misconceptions, and discover what recent changes in 2026 mean for your business.

Decide if QuickBooks Time is right for you with this in-depth, expert-written review of the platform’s pros, cons, features, and pricing.

If I’m searching for “task tracker Excel,” it’s usually because I don’t want anything complicated. I just want a simple way to stay on top of my tasks without adding more stress to my day. And honestly, that makes complete sense. Excel was my go-to for task tracking for years and for good reason. It’s familiar, flexible, and easy to shape around the way I already work.

Slackbot acts as your personal AI agent for work, multiplying your capabilities so you can spend less time on Admin and more time selling.

If you’re weighing up whether to build your own KPI dashboard or buy one, the decision probably feels more complicated than it did a few years ago. Modern APIs are easier to work with. Charting libraries are more prolific and fancier. AI tools can generate working dashboards in minutes. On the surface, the case for building dashboards from scratch has never looked stronger. In practice, the trade-offs have not changed as much as the tools have.

We're starting 2026 up and running with a fresh slate of product updates. This month's roundup includes a long-awaited Timeline view, clearer planning capabilities across the platform, and new visibility enhancements to Desk. Let's get to it!

If you’ve spent any time in Zendesk Explore, you have probably run into the same limitation as most support teams. The standard metrics are useful, but they only tell part of the story. Ticket volume, first reply time, resolution time, CSAT. They are a starting point, not the full picture. As soon as you want to dig into how your team is performing against SLAs, backlog, workload, or automation, you need something more tailored to how your support operation works.

Across critical national infrastructure, defense, and public administration, security has traditionally been applied late in the process. Organizations focus on protecting the systems where data resides, the networks through which it travels, and the frameworks that govern finalized assets. However, a fundamental shift in the threat landscape has revealed a systemic blind spot: the pre-classification layer.

After several years of enthusiasm, 2026 will mark a turning point where organizations shift decisively from AI pilots to real, measurable outcomes. Leaders will demand production-ready implementations that deliver tangible ROI, reduce friction in workflows, and improve decision-making. This transition will bring both excitement and disillusionment: some of the hype will meet reality, and not every AI promise will stand up under enterprise scrutiny. But this is also where genuine innovation happens.

The following trends outline how customer experience and customer success will evolve in 2026, as organizations combine AI-driven scale with human expertise, reliable execution, and trust.