I'm a Product Designer, User Researcher, and Strategist based in the San Francisco Bay Area. I specialize in building products from the ground up for customers.
In one apartment, our valuation approach created 16% more cash flow while increasing equity by 5-6%. Scaling this across multiple properties, we've grown portfolio cash flow 46% and trimmed expenses by 4-5% since 2023.
View Details →I built a new service from the ground up for Azibo, expanding the startup into the Property Insurance vertical. Partnering with multiple vendors, we designed a seamless process to generate instant insurance quotes for landlords via API integration.
View Details →Through iterative research and design, we identified inefficiencies requiring tenants to pay for each application. We streamlined the process by allowing tenants to self-report key criteria.
View Details →Shifting economics, needs, and environments are driving the evolution of home healthcare. Kaiser Permanente embraced this change, seeking a fresh vision for delivering house-call services.
Tasked with creating a proof of concept (POC) to reduce high return rates for online clothing purchases, I collaborated with another designer to develop multiple concepts.
Led discovery research for a startup's product development process to uncover deep user needs, motivations, and pain points for both businesses hiring contractors/freelancers.
View Details →We aimed to enhance property performance and found a method to boost apartment values. Now, we're developing a product using data analytics and machine learning to help investors make informed decisions.
Problem
Many investors struggle to measure their property’s performance or identify new opportunities due to complex financial metrics like cap rate, gross rent multiplier, cash-on-cash return, and internal rate of return.
Solution
To assess the viability of this new product, we undertook the following steps:
We started with the end goal and reverse-engineered the solution. After the pandemic, I led renovations across multiple apartments to boost performance (see examples below). I realize it appears confusing at first when I speak of this as a data analysis project, but here’s how we cracked it: By digging into market data on pricing and unit quality, I spotted a glaring unmet need—then used hard numbers to refine and validate our approach. And yeah, I’ll admit it’s obvious once you see it: People pay more for nicer spaces. But proving it? That’s where the discovery happened.
First concept focused more on managing property assets
We tested low-cost PDF concepts to help manage short- and long-term property assets. While customers saw some value, it wasn't enough to warrant further development at that point.
Second concept focused more optimizing cash flow
Our second concept, another low-cost PDF, focused on boosting property value by optimizing income and offering higher-quality apartments within budget. Customer feedback confirmed its potential.
PHASE 1: Concept & Framework Development with MVP
PHASE 2: Machine Learning Model to Measure Quality
PHASE 3: Refining the Model
This product is currently in the development planning stage. A "minimum viable product" or MVP is presently being developed with the high-value features for adopters and to further validate the concept early in the product development cycle.
46%
Increase in cash flow over a 2 year period by remodelling more than 8 apartments
14%
Cash on Cash return for one particlar apartment remodel
$5,400
Increase in Cash Flow for one remodeled apartment
$91k
Estimated increase in asset value for one apartment
I was the lead designer at Azibo, a startup offering financial services for property investors and landlords managing residential and commercial real estate. We designed and built a new revenue stream by providing property insurance through the platform. The key challenge and solution are outlined below:
Problem
Shopping for property insurance is a laborious process, requiring extensive information from property owners. It's time-consuming for landlords, as insurance carriers need detailed property information for quoting and underwriting policies accurately.
Solution
Insurance companies, like banks, require extensive property information for underwriting and risk assessment. Our challenge was to simplify this process, allowing landlords to provide information from their phones in under 5 minutes, despite our partner API initially requiring over 100 data points. We aimed to test if this approach was viable for investors.
Our methodology progressed from low-fidelity concepts to high-fidelity screens, validated by customers and vetted by the development team. We broke down complex problems into smaller, manageable pieces, making decisions based on findings.
3.5X
Growth increase in Premiums sold over 2 Quarters.
$1.5MM
of Premiums sold in three fiscal quarters
66% less customer workload
The reduction of customer workload utilizing data lookup from 1st version/generation - 3rd version/generation. This heuristic is based on removel of data/features required to be understood and manually entered by customers.
33% less screens
Through iterative research and design, we identified inefficiencies requiring tenants to pay for each application. We streamlined the process by allowing tenants to self-report key criteria landlords use for selection.
We set out to create a service for property investors/managers to accept and review applicants with fewer steps, and to allow tenants to apply for an apartment more easily and affordably.
Problem
The client had a strategy deck and a development plan; however, they needed a deeper understanding of their user types and their needs to effectively compete and build an online marketplace.
Solution
We had extensive discussions with tenants who recently procured a new apartment in the last year, and we recruited landlords from our design panels (A collaborative group of 50+ landlords), to understand steps in their process and decision making criteria when selecting tenants.
+36%
average month-over-month growth in platform transaction volume
+2.2X
quarter-over-quarter customer growth with 7,300+ monthly transacting users
1.6M+
in banking cash deposit balances
Shifting economics, needs, and environments are driving the evolution of home healthcare. Kaiser Permanente embraced this change, seeking a fresh vision for delivering house-call services. Partnering with a design consultancy, I led user research, design sprints, and concept development, shaping a new software platform that seamlessly connects clinicians, command center technicians, and patients.
Tasked with creating a proof of concept (POC) to reduce high return rates for online clothing purchases, I collaborated with another designer to develop multiple concepts that enhanced the in-home clothing evaluation experience beyond the traditional fitting room.
As a User Researcher, I worked with a startup to develop a platform connecting businesses with contingent labor, such as freelancers. My main business objective was to enhance the company's understanding of both independent professionals and the small businesses their platform catered to through user research.
Working closely with the client's head of product, I collaborated to outline the specific goals of the user research.
Problem
Pinpoint the essential features for freelancers who provide services on the platform, as well as for businesses that use the platform to hire these freelancers.
Solution
I created a detailed project and research plan that defined the goals, participants, and methods for collecting information. The ultimate aim was to deliver findings accompanied by insights visualized through customer journey maps.
Insights discovered during interviews were mapped to journey maps for each user type and to identify needs along a typical path of engagement.
The research assisted the team is visualizing the overall dynamics of the potential marketplace. Key insights were identified and shared with the manangment team and was instrumental in articulating customer needs.
The audio interviews and their transcripts will be analyzed to identify key dimensions that will aid in modeling various user types within the freelancing ecosystem.
Business customer model
Started to show two distinct types of companies, those that work more in the near-term, and another where the business was more setup for long term success with specific needs from freelancers.
Freelancer customer model
Revealed more light on the different needs various levels of Freelancers. Key insights were drawn different freelancer persona's motivations - those that were full time and the providers for their families, and those who were not the earners in the family, or were doing this part-time for various motivations.
Shifting economics, needs, and environments are driving the evolution of home healthcare. Kaiser Permanente embraced this change, seeking a fresh vision for delivering house-call services. Partnering with a design consultancy, I led user research, design sprints, and concept development, shaping a new software platform that seamlessly connects clinicians, command center technicians, and patients.
Tasked with creating a proof of concept (POC) to reduce high return rates for online clothing purchases, I collaborated with another designer to develop multiple concepts that enhanced the in-home clothing evaluation experience beyond the traditional fitting room.
Led discovery research for a startup's product development process to uncover deep user needs, motivations, and pain points for both businesses hiring contractors/freelancers and the freelancers themselves.
Companies I've worked for or with in the past