Property Data Automation

Challenge

The startup aimed to create an automation AI to improve administrative efficiency and save costs for real estate brokerage. I was not familiar with the agents workflow to design a process that is practical to the agents, and the product requirements are very ambiguous.

Key Results

To resolve the ambiguity and design a product that was useful to agents in their daily workflow, I worked closely with a realtor to understand the process that can be automated and get immediate feedback to iterate the product. The product was launched and was adopted by over 50 agents in the brokerage.

What I did

• Partnered closely with a realtor to map end-to-end administrative workflows, observing daily tasks and identifying repetitive, time-consuming activities that could be automated, such as document handling, client communication tracking, and data entry.

• Translated ambiguous business needs into clear product requirements and automation logic by conducting regular feedback sessions, validating assumptions with real users, and prioritizing automation opportunities based on impact to agents’ daily efficiency.

• Led iterative prototyping and testing cycles, rapidly refining features based on user feedback, simplifying workflows, and ensuring the final automation tools integrated smoothly into agents’ existing routines without disrupting their work habits.