Phillip Wood

PayClip is a credit card processing system that allows all merchants to accept credit cards with various device types that connect to a phone.

Our intention was to help users manage inventory (which many of them were doing with several different systems) and accept payments with only one system. We also used this as a way to increase retention.

We went through several rounds of user testing, UX strategy sessions, and iterative builds/releases. Users who adopted the inventory system and added at least three products were retained at a rate of 40+% compared to those who didn’t. In the short time that we had the product live, it was adopted by 22% of users.

Our partner lenders had no visibility into how many applications they were sent from Lendio, how long they held applications before returning an offer, or the stage that those loans were in once the offer was sent back to Lendio.

Based on discussions with our partners, and assessing their needs, we decided to build a dashboard that would provide them with that information in an effort to reduce the time between application and presenting the small business with a loan offer.

Providing that insight into the process allowed us to reduce the time to offer from four days to three days, and the time to funded loan from 18 days to 14 days. This resulted in an increase in funded loans by 4%.

PayClip is a payment processing tool that small businesses use to accept credit card payments using a phone or a stand-alone device that has a cellular or wifi connection.

We had eight weeks to build a referral program that would motivate users to share our product with other small business owners. 40% of our business came from referrals without any existing referral program in place.

We did a round of user research to identify what was most motivating for users, and also the easiest to offer for the business. The winner in both categories was discounted commissions.

We built an in-app referral program that notified users upon login that we were able to offer a discount on referrals if they referred one user. As they referred additional users, that commission rate was further decreased.

Our referral rate increased by 12% as a result of the initial campaign and resulted in a net increase of over $500 million pesos in the first year.

AncestryHealth is a new DNA based product that offers users a look into potential health issues based on certain markers in their genetic makeup.

I was tasked with building an onboarding flow that could be built quickly and was also flexible enough to allow for quick iterations once new health reports were ready for release. We also had to be able to track start/progress/completion rates without keeping PII health data.

I led a team of six engineers and two QEs (and interfaced with six other teams) who worked exclusively on this feature for three months. We deployed ahead of time and under budget due to creative thinking around how to implement the feature while maintaining a 94% completion rate for the onboarding flow.