· Go deep with customers: Build real relationships with practice staff and leaders, watch them work, and understand the patient side of it. Look past feature requests to the workarounds and friction underneath.
· Own the area end to end: Set direction, pick the problems worth solving, and carry them through discovery, delivery, adoption, and measurable results.
· Take the MVP to best in class: Find where the current experience falls short and build a path to something complete. Put prototypes in front of customers, test them in real workflows, and keep refining the details.
· Build agents people trust: Define what finishing the job actually means, partner with engineering to build it, and make it obvious when staff need to step in.
· Prototype it yourself: There is no designer on this area yet. You will wireframe, prototype, and use AI coding tools daily to investigate product behavior, pull your own data, and get something testable in front of a customer without waiting on engineering.
· Measure and iterate: Track work completed, time returned to staff, patient follow-through, and adoption. When something is not working, find out why and use it to shape the next release.