Managing Invisible Performance: Emotional Labor
We can manage our emotional labor or it can manage us. Read on for practical tips about managing the invisible side of your performance.
We can manage our emotional labor or it can manage us. Read on for practical tips about managing the invisible side of your performance.
Stepping into a supervisory role requires more than new responsibilities — it requires a shift in mindset. Many new leaders struggle not because they lack skill, but because they underestimate the transition itself.
Agency leaders often assume that subject matter experts can teach the information they know, by virtue of knowing it. But understanding and teaching are two separate competencies. It’s up to leaders to train SMEs so they can train other staff.
If leaders are what they read, most of us are running on a questionable information diet. The quality of our thinking reflects the quality of what we let in. This article offers a sharper way to choose your inputs.
AI readiness in government requires more than prompt training. It requires human judgment — the ability to verify AI responses and establish and maintain responsible AI practices that are essential for better decision-making.
There is nothing “soft” about the skills needed to lead employees through change, uncertainty and conflict. Today, successful government leaders must be able to guide people, not just projects.
To develop as a leader, we sometimes need to unlearn habits that served us well in previous positions, but no longer help us to succeed.
Effective leaders collaborate with colleagues who have good ideas; they don’t take over the process. Learn the consequences of sidelining employees rather than recognizing and including them.
When an executive dismisses your work in front of the room, the freeze is real but so is your ability to recover. Read the full article to see how to pivot without losing your footing.
AI is being treated like a tool instead of what it actually is: a capability that should be embedded into how work gets done. The organizations seeing real results aren’t the ones experimenting the most. They’re the ones aligning AI to mission outcomes, operational workflows, and decision-making.