Accurate estimation is crucial in Scrum as it helps in setting realistic expectations for the workload associated with completing user stories or tasks. By assigning relative size or time values to each task, the team can make informed decisions about their capacity and plan sprints more effectively. This process not only aids in better sprint planning but also enhances the predictability of project timelines.

We’ve been busy making Miro even better and we have some exciting updates to share with you this month: new filter options in Planner, a Timer and Private mode Action Shortcuts, AI-generated diagrams and new integrations with GitHub, Salesforce, and Autodesk. Plus, our improved grid size and snap-to-grid features make diagramming a breeze. What else is new,you ask? Actually — some big, big updates. Join us for our special What’s Next event on July 17 for the first look.

Understanding how employees are compensated is crucial for both employers and employees. Straight-time pay is a fundamental concept in payroll management, referring to the regular wages an employee earns for working their standard hours. This guide will explore what straight-time pay is, how to calculate it, its applicability to different types of employees, the legal regulations surrounding it, and the tools available to manage it effectively.

“Everyone is a genius. But if you judge a fish by its ability to climb a tree, it will live its whole life believing that it is stupid.” This quote, commonly attributed to Einstein, captures how each person has unique superpowers that, when cultivated, can unleash their full potential. In a similar way, when companies embrace a diversity of thought, skills, and perspectives among team members, innovation flourishes.

Technical debt is the cost of additional work caused by choosing the quickest solution rather than the most effective solution. Though there are times when technical debt is worth it, it’s important that your team understands the positives and negatives of speedy decisions and how to manage rework in an efficient way. Product managers, programmers, and other stakeholders should carefully consider the trade-offs involved.

With all the hype around AI, it’s easy to forget that, no matter what industry you’re in, every interaction is ultimately in service of humans. And when we operate from this principle, we can see how transformational AI can be. This is especially true for CX leaders.

The demise of Workplace by Meta marks the latest casualty for enterprise social networking — a trend that’s time has passed. Organizations are now turning to all-in-one, employee communications and experience platforms powered by artificial intelligence (AI) to keep employees connected, informed and productive.