Your people see
what reports miss.
I’m building Senseeing, an AI-assisted discovery prototype that connects people’s everyday experiences to shared priorities, practical experiments, and visible follow-through.
A team’s work, brought into focus.
Challenges. Strengths. Possibilities. A response people can follow.
Try the three views. A fictional team, showing the process I’m developing.
The moment after listening
is where this gets interesting.
A shared understanding can lead to a better decision. A visible response gives people the opportunity to feel heard, engaged. Coming back to it creates a chance to continuously improve business outcomes.
From an initiative I led
to a process I’m building.
At ServiceNow, I created and led an employee feedback initiative using Lean Startup innovation methods I had learned at Strategyzer. I started with interviews and surveys to understand the challenges and opportunities facing the technical trainers I managed.
Within my area, our findings helped shape a skills matrix, clearer role expectations, and closer collaboration between training and curriculum. Many colleagues contributed to those changes. The initiative helped bring people’s experiences into the decisions.
We expanded the initiative across three global departments. I trained volunteer colleagues in Lean Startup innovation and discovery interviewing. I designed and managed the process, helping us move from individual observations to a shared understanding of what could improve.
Creating and leading this alongside my training management role showed me how much coordination a useful feedback process takes. Senseeing grew out of that practical challenge. I’m exploring how AI-assisted discovery can make the process easier to sustain, while people shape the meaning, priorities, and response.
If you’d like to know more.
I’m still building and testing Senseeing. If you’re curious about the project or the experience behind it, feel free to get in touch.