Embracing an agile mindset isn’t always easy, and it can be especially difficult for senior managers who spent most of their careers working in more traditional development methodologies. By trying to speak the same language and demonstrating successful self-organization, teams can help senior management become agile.
Enjoying your job isn’t just a nice perk. Happiness enhances motivation, leads to higher job satisfaction, and increases productivity. Companies can provide opportunities for employees to engage in meaningful ways, but it’s up to the people to create and innovate. Here are three ways to inject fun into your workday.
People tend to thrive in environments where they feel safe. Company leaders have the opportunity to help engineer a generative culture, where team members feel secure, supported, and trusted to think creatively and innovate. Here are five actions leaders can take to create and nurture healthy working environments.
Artificial intelligence is one of the fastest growing fields in technology, but there’s still a lot of uncertainty surrounding what truly qualifies as AI, the different types of AI, and how quickly AI is advancing. How do we differentiate AI that updates us on today’s weather from AI that can think and act on its own?
People often focus on hard skills for career development, but soft skills are just as important—if not more. Soft skills require practice and they are crucial for professional success, so we should stop referring to interpersonal skills as soft. They’re hard, human skills, and they can set you apart in your job.
Wanting to serve others—not wanting them to serve you—is one of the best signs of an effective leader. Being a leader is also not about doing more of the work or being the most technical person on your team. Rather, it's actually about giving up some of your work to help others grow. Here's what else good leaders do.
When making a transition to agile, it’s important to get a common understanding of what you’re trying to do, of how things are currently done, and of the definition of done. In a value stream analysis, you can identify where major chunks of time are being spent (and why), and then start prioritizing based on value.