Teams | Collaboration | Customer Service | Project Management

In my years managing client work before joining Teamwork.com, I watched the same pattern repeat across agencies and consultancies. A project gets scoped. A budget gets approved. Then nobody looks at the numbers again until the final invoice lands. By then, the margin is already gone. Cost forecasting is the discipline that breaks that cycle. It gives you a continuously updated view of where your project costs are heading, not where they were last quarter.

I have watched strategic initiatives collapse not because of bad execution, but because they were never translated into resourced, sequenced project work. In professional services, this gap between leadership's strategic commitments and the delivery team's actual capacity is where predictability dies. The firms that consistently deliver on time and on margin are not working harder. They have a planning system that connects strategic priorities to live capacity data.

Finding the right productivity apps can be overwhelming. With thousands of tools claiming to boost focus, improve organization, and help you get more done, choosing the right one is not always easy. This guide simplifies the process by highlighting the best productivity apps for different needs. Whether you're managing projects for a business team, staying on top of deadlines as a student, working on a Mac, or looking for simple ways to improve daily productivity, you'll find the right tools here.

If you manage IT infrastructure for an organization that handles sensitive files, regulated data, or complex collaboration workflows, you've likely wrestled with a familiar set of tensions: keeping data under your control while enabling cloud-scale flexibility, enforcing compliance without creating friction for users, and maintaining a clear audit trail across a sprawling document environment.

There are few things more frustrating for RevOps and sales leaders than poor-quality CRM data and deals that haven’t been updated properly. What makes it especially annoying is that it’s not a problem you can fix once. It needs active maintenance. Without it, standards slip. There’s an entropy to it. It’s also extremely common. We’ve had it in our own small sales team. There are countless Reddit threads on the subject.

Discover how technology and ops leaders use workforce analytics for IT and software services. Learn tips to protect focus time and improve service delivery.

Six conversations with tech outlet theCUBE on AI, IT, and doing the work that matters.

You built the wellness program. Leadership approved it. Communications promoted it. The launch was strong — good turnout, positive feedback, solid initial participation. Then six months later, utilization is down 60% and you’re not entirely sure why.

Over the last two years, every people leader I know has been chasing the same number: what percent of our employees are using AI? It’s the wrong metric. At Atlassian, we learned this through firsthand experience. We’ve gone through three evolutions of how we measure employee AI adoption, and each time we changed the metrics we learned something telling about what the old numbers were hiding. Those shifts have changed how we hire, develop, and bet on talent.

Our Jira engineering team was spending more time than we’d like focused on KTLO (keeping the lights on) tasks – the small, but important maintenance tasks nobody wants to spend time on. This includes work like cleaning up old feature flags, chasing flaky tests, fixing identified vulnerabilities, addressing accessibility issues, and chipping away at a long tail of bugs.