Embark is on a mission to transform how humans care for dogs through science. We brought this new DNA test to market. 🧬
My role
Product Strategy • Design Leadership • UX/UI • User testing • Dev hand-off
Core team
Lead PM • Lead Scientist • Lead Engineer • Executive Sponsor • Vet Geneticist
KPIs
Sell 2K tests via beta campaign • Determine a feasible price point • Define the UX
Timeline
8 weeks
The Challenge
Determine business viability and consumer desirability of a new DNA test that can predict a dog’s calendar age 🎂
Business Goals
Embark must regularly bring new consumer products based on scientific discovery to remain the industry leader. An ideal science product or service should: 1) Match Embark’s mission, 2) Provide substantial customer value, and 3) Show positive unit economics.
Hypothesis Statement
We hypothesized that enabling rescue dog owners to find out their dogs' age using DNA methylation would: 1) Encourage owners to act on their findings, 2) Help owners make informed care decisions, and thus 3) Strengthen the bond between owners and their dogs, 2)
Discovery
Tiger Team
I guided a team of PMs, engineers, and scientists through a series of exercises designed to understand the customer need/value, business opportunity, and competitive landscape associated with bringing a new DNA test to market. We also discussed what it could look like to integrate such an offering into our current product ecosystem as well as our tech stack.
Big Hairy Questions
During the discovery phase, our tiger team focused on crucial questions, including: 1) What specific customer problems will this product solve; 2) How can we best convey the scientific aspects of this product to our customers; 3) What is the potential pricing that customers would be willing to accep; and 4) How might we fold this product into our ecosystem without blowing up our infrastructure?
Challenging Assumptions
Assumptions are a natural foundation for the start of any product design process. They are helpful starting points for discussions and experiments. Left unchecked, however, assumptions can lead even the most seasoned product teams and engineers down a costly rabbit hole by building something users do not want.
Before committing time and resources toward building the unknown, I devised a testing plan targeted at our riskiest and least understood assumptions. We considered small and larger scale experiments identifying the ones that offered the most significant insights with minimal effort.
Research
User Perceptions
We started with early research, including a survey to understand users' understanding of the science and their perception of the product's value. We conducted user testing using tools like UserTesting.com, Maze, and FeedbackLoop.
Early UX
Following research and journey mapping, I crafted a set of detailed wireframes for the results experience's user interface. I incorporated various elements within this phase, such as age estimates, estimated birthdays, life stages, and care plans.
Early Testing
User Testing
I conducted a task-based user test with ~10 participants who owned rescue dogs of unknown age. Each participant was screened via UserTesting.com and completed a 14-question test, including 3 task-based tests and 11 verbal response questions.
User Quotes
“Dogs are part of your family. Why wouldn’t you want to know your dog’s age? You want to get them gifts for their birthday.” // “All of this is really fascinating. We have two dogs and I love them both and it’s fun to do something for them and learn more about them.”
User Flows
Flee-fly-flow-flum
Following a positive round of user testing, the next step was clear: put together a flow to depict the entire end-to-end user, swab, and data journey. With Embark, a customer’s journey isn’t purely digital—it also includes a physical component (a DNA swab) that must be sent to and received by the customer. From there, a customer activates the swab, associates it with their account, and sends it to the lab. The lab then processes the swab, sends Embark, the data, and the data is then pushed to the customers through our results dashboard. I collaborated closely with my PM, engineering, science, logistics, and customer service teams to understand and document the end-to-end flow across multiple systems and touchpoints.
More Testing
Painted Door Test
Given the sheer complexity associated with introducing a new product to the Embark portfolio, it was imperative for us to get this product offering in front of real customers. To do so, we devised a souped-up ”painted door” test to gauge genuine customer interest and honest customer feedback.
Test Structure
As a part of the painted door test, we sent a series of emails to 81,000 existing Embark customers who have at least one dog listed with an estimated birth date in their account. We introduced the Age Test product at a price point of $149, offering a $30 discount for early adopters.
Beta Outcomes
2,459
tests sold as part of our email campaign
at an AOV of $159
3,000+
waitlist sign ups within ~2 weeks
of our email campaign
81%
of users said the age test result experience
met their expectations
Strong Signals
In about a week, we sold 2,459 Age Test kits to existing Embark customers through an email campaign offering three price options. After hitting our sales goal, we set up a waiting list for more interest. Within the next week, we received 3K sign-ups.
It’s a “Go!”
Given the strong interest, viable price, and positive user feedback, we fully launched the Age Test. We shared these results with the team and got executive approval for the launch. 🎉
Full-Scale Launch 🚀
Going to Market
In the next ~6 months, I worked with PM, engineering, science, logistics, and customer service teams to integrate the Age Test into our product ecosystem and improve its UX/UI based on early feedback. We also set up ways to collect ongoing customer feedback to meet customer expectations and re-worked existing product features that may have conflicted with the Age Test offering.
Sales
We launched the Embark Age Test for general availability by teaming up with product marketing and creative teams. In the first three months of the soft launch, we made $3M in sales, with 87% from new customers. Age Test has a 4.87-star rating and continues to growing MoM, generating meaningful and value for Embark and its customers.