For so long, I believed that to be an effective leader, you had to project absolute certainty. Whether navigating supply chain logistics or building new product roadmaps, I assumed that leadership meant having an answer to every question, mitigating every risk, and flawlessly managing execution from top to bottom.
The last few months in Stanford's Leadership Lab have completely reframed that perspective. In an already fast-paced and seasonal industry, coupled with tech that's disrupting the way we work, I've realized that certainty is becoming rarer by the day. In this unpredictable environment, what's arguably far more important is clarity.
This realization set in during a session with Cara Moyer, an organizational psychologist and strategist at Airbnb. She taught our cohort that certainty is often a story we tell ourselves to ease our discomfort amid the unknown, whereas clarity comes from a place of honesty, authenticity, and conviction. Pretending to have total certainty can have the opposite effect and erode trust, while providing clarity can give the team the shared direction they need to keep moving, even when details and destination are still unclear.
I've put this into practice with my work with TreeRacks, a student-run circular fashion initiative I helped launch to combat textile waste, fast fashion consumption, and inaccessibility to affordable second-hand apparel around campus. Navigating the complex logistics of clothing collection, sorting, pricing, making merchandise, and organizing volunteers for the first time was hectic, but I focused on leading with clarity rather than certainty. I wasn't always sure how operations would scale and what challenges would emerge as the initiative grew, but by identifying key leverage points and keeping the team aligned on our core "why", we have successfully diverted over 350 pounds of textiles and have generated over $1,000 in revenue so far.
Beyond communicating with people, clarity can manifest in having a clear vision for systems and operations. Mike Griffin, a Google UX researcher and strategist, shared how the capability curve of technology has shifted dramatically with the recent developments in AI, and that people have yet to leverage these tools to their full capacity.
Instead of relying on drop-off bins that are often unreliable, inconsistent, and subject to people sifting through them, I built a custom pickup scheduler for our team. It was a rapid, iterative build that solved a huge operational bottleneck. Students can schedule pickups, our team members can claim them, and the backend handles the communication in between. This experience reinforced that in modern product and operations management, you can use powerful tools at your disposal to build functioning workflows and start scaling impact rather than waiting for a perfect out-of-the-box solution.
As I look ahead to the next chapter of my career in the business of fashion, I can feel the impulse to seek absolute certainty in the job market, but guest lecturer Lamiaa Laurene Daif offered us a reframe that I keep coming back to: a career is not a fixed trajectory, but a series of continuous experiments. Adopting this mindset, I hope to stay sensitive to "pull signals" within my work — all the moments of curiosity, operational puzzles that excite me, and projects that feel deeply aligned with my values — to guide me to each next step.
While I don't have certainty about what the future holds, I have clarity about the leader I am becoming. I enjoy analyzing systems. I gravitate towards ambiguous problems. I love building tools to solve them. Most importantly, I take care of the people around me by ensuring that we never lose our shared direction and purpose. And in a world where certainty is increasingly elusive, I've learned that clarity of purpose, values, and direction is more than enough to keep moving forward.