Teams | Collaboration | Customer Service | Project Management

Getting started in technology does not always require a computer science degree. Many IT jobs without a degree are accessible to candidates who can demonstrate practical skills, relevant certifications, hands-on experience, and a strong understanding of the tools used in the role. Fields such as IT support, systems administration, networking, cybersecurity, and web development often place significant value on what candidates can actually do.

Productivity numbers alone cannot tell you who an employee is, what team they are on, or why their numbers look the way they do. An HRIS integration platform connects HRIS employee data such as department, manager, role and employment status with workforce productivity data, turning raw metrics into reports managers can actually act on. It also cuts manual data entry errors, strengthens workforce planning, and lets reporting scale as headcount grows. This article covers the following.

Earlier this year, we wrote about turning Atlassian Design System guidance into structured content that AI agents can actually use. Since then, agents have reached that content through our MCP server tools and an agent skill. We recently added a third distribution method: a command-line tool. The first question from our own engineers was a fair one: Why ship a CLI when you already have an MCP server?

Open the Log Time modal in Teamwork.com, click over to the Log my day tab, and the entries are already there: an hour on a client kickoff call, thirty minutes on competitor research, two hours drafting a homepage design. Teamwork.com built each of these from the tasks and projects you actually worked in today, before you typed a single word.

Picking a ticketing system for an internal IT team comes down to one practical question: how quickly can an employee get unblocked when a laptop dies, an account locks them out, or a piece of software stops working. When requests scatter across email, Slack DMs, and hallway conversations, nothing gets a real owner, nothing gets tracked, and the same problem gets reported three different ways before anyone touches it.

A message lands in a work chat: “Can you update this before lunch?” It is quick, direct, and almost useless without context. Which version needs updating? What changed? Who asked for it? Is there a file somewhere? A fast message can still create slow work when the person receiving it has to reconstruct everything that was left out. Modern teams are very good at moving information quickly.

A WhatsApp ticketing system helps support teams deal with a problem many organizations already face: employees asking for help through chat instead of formal support channels. Employees rarely think in terms of “support channels.” When they need assistance, they simply open the tool closest at hand. In many workplaces, that means sending a quick message through WhatsApp.

Motivating remote employees is a management problem, not a monitoring problem. Employees lose motivation when they lack clarity, recognition, and connection, not simply because a manager cannot see them. This blog covers 9 practical strategies, including clear goals, consistent recognition, trust based management, autonomy, growth, wellbeing, and the right technology, plus how to tell whether they are actually working and how remote employee management software supports that without becoming surveillance.

Month-end arrives. Payroll shows one number. The invoice shows a smaller one. Nobody in the room can explain the difference. That difference is not a mystery. It is the space between total hours and billable hours, and it decides your margin every single month. This guide breaks down billable hours vs non billable hours and total hours worked. You will learn what each one measures, how to turn them into a utilization figure and what changes once the record becomes something you trust.

This week at Dreamforce, we gave Slack one of its biggest upgrades yet, the connected interface for AI and Salesforce that works across your whole team. Every company is investing in AI right now, but they’re missing two things. First, the conversational context that adds long-term memory and insight that makes AI more accurate, actionable, and trustworthy. And next, the collaborative interface that allows employees to use these AI tools together and learn from one another.