The 4As Journey: A Developmental Cycle for Women Leaders

The first stage is catching your default pattern with precision. Not "I over-explain"—that is too general to be useful. Instead: "In cross-functional meetings where I am presenting a recommendation that could be challenged, I provide extensive backup reasoning before stating my position, and I qualify my conclusions with caveats."

Specificity matters because it tells you when and where the pattern operates. A pattern that shows up everywhere is a personality trait and may not be the right thing to change. A pattern that shows up in specific contexts is a response to those contexts, and that is workable.

The questions to ask yourself: When does this pattern show up most strongly? What triggers it—what is happening in the room or the conversation right before I do this? What does the pattern achieve or protect? And what does it cost?

The senior director realized her over-explaining was strongest when certain colleagues were present—specifically, two executives who had a track record of dismissing women's recommendations without engaging with the substance. The pattern was not about all meetings. It was about those meetings, with those people, on topics where she expected pushback.

The second stage is testing your interpretation with trusted others. This is where many leaders—and women leaders in particular—get stuck.

The instinct is to skip this step. You have identified the pattern, you understand the trigger, now you want to fix it. But Ask serves a critical function: it prevents you from working on the wrong problem. Your self-perception may not match how others experience you. The over-explaining that feels like hedging to you might actually be experienced by your team as thoroughness and intellectual rigor. Or it might be even more noticeable than you think. You need data from the outside.

The practice is specific: you go to someone you trust—someone who will tell you the truth—and you ask a precise question. Not "How am I in meetings?" which is too broad to generate useful answers. Instead: "When I present recommendations in the leadership team meeting, do I over-explain? And when I do, what impact does that have on how my recommendation is received?"

For women leaders, Ask carries a particular risk. Asking for feedback on your leadership can be read as lacking confidence, especially if you are already in a context where your authority is provisional. The key is framing. You are not asking for permission to change. You are not expressing uncertainty about your capability. You are gathering data on how a specific pattern lands—the same way you would gather data on a market question or a product decision. This is intelligence collection, not insecurity.

Choose who you ask with care. You need someone who sees you in the relevant context, who understands the dynamics, and who will be direct. Avoid asking people who will simply reassure you, and avoid asking people who have a stake in keeping your current pattern intact.

The third stage is trying something different—not permanently, not as a new identity, but as a bounded experiment. You are testing a hypothesis, not committing to a transformation.

The senior director's first experiment was this: in the next leadership meeting, she would state her recommendation first, in two sentences, and then pause. Not explain. Not qualify. Not pre-empt objections. State and pause. She would let the silence sit and see what happened.

This is a small experiment. It has a specific context (one meeting), a specific behavior change (state-then-pause instead of explain-then-state), and a specific observation point (what happens after the pause). It is not "Become more executive"—which is too vague to execute and too large to learn from.

For women leaders, the Act stage carries higher stakes than it does for leaders who already fit the expected mold. A leadership experiment that is low-stakes for some becomes higher-stakes when you are watched more closely. If you try going quiet and you are already associated with not speaking up, going quiet reads as disengaged. If you try being more direct and you are already read as assertive, directness reads as aggression. The calibration window is narrower.

This does not mean you should not experiment. It means you should be intentional about the context. Pick a situation where the risk is real but manageable. Pick a meeting that matters but is not career-defining. And know in advance what you are testing—so that when it feels uncomfortable, you can stay in the experiment rather than reverting to the old pattern because the discomfort is unfamiliar.

The fourth stage is the one that completes the cycle and makes the whole thing work. Without Adapt, you are just trying things and hoping. With it, you are building capability deliberately.

After the experiment, debrief—ideally within twenty-four hours, while the experience is still vivid. What happened? What shifted? What was harder than expected? What surprised you? What did people do or say that you did not anticipate?

The senior director's debrief after her first experiment was revealing. She stated her recommendation and paused. The silence lasted about five seconds—which felt like an eternity to her—and then one of the executives she had been worried about said, "That makes sense. Let's go with that." No pushback. No challenge. The over-explaining had been solving for a problem that, in this instance, did not exist.

But that is not always the outcome. Sometimes the experiment reveals that the old pattern was actually functional. Sometimes you try being more direct and it genuinely does land badly. The point of Adapt is not to celebrate success. It is to learn. What did this experiment teach you about the pattern, the context, and the people in it? And based on that, what do you want to try next?

For women leaders, Adapt is where the cycle most often breaks. Under the pressure of perfectionism—or the pressure to appear to have things figured out—there is a temptation to either declare success or abandon the experiment entirely. The over-explaining worked once, so now I am a different leader. Or the over-explaining was uncomfortable to change, so I go back to the old way and tell myself it is fine. Neither response is learning. Learning is sitting with the data, understanding what it tells you, and designing the next experiment.