One of the 50 most innovative firms and #1 in Travel according to Fast Company in 2020. Hopper is the smart way to book travel on your phone. Combining massive amounts of data and advanced machine learning algorithms, Hopper predicts and analyzes airfare and accommodation to save users money and enable them to travel more often.
My key achievements
At Hopper, I had the mission to lead the Hotel Team from the design point of view, working closely with engineers, product managers, and data scientists to bring a new fresh way to book a hotel, keeping Hopper’s essence.
From understanding the user that books a hotel, running user testing to validate ideas, developing fresh ideas, we revamped the user experience aiming at two main metrics, acquisition & activation.
Hopper app is built over a complex machine learning that encourages travelers to buy just when they have the best deal. We would be encouraged to analyze the data to develop ideas, experiments, or possible enhancements for the product. A project would be ignited usually from a data point.
From that point, we would brainstorm together drafts/ideas, evaluate them with the engineering team, and test them with users before spending engineering efforts. After launch, analyze the data, learn and proceed to the next step.
Design, Research & Data
Design, Research & Data
Hopper's core is to help travelers find the best price based on Hopper's machine learning, and there is where the product built its loyal base.
Hopper is projected to give travelers everything they need when on their trips end to end.
As the flight side of the app had found its features to provide travelers the tools they needed, our goal was to understand how to extend that experience.
One of the challenges at the Hotel's team was to understand when the traveler with a flight ticket would consider a hotel and vice-versa.
Goals & metrics
At Hopper, each team had its main goals/metrics to target, since the hotel side of the app was fairly new to the product my main metrics were the acquisition & activation rate.
The routine would always vary from project to project, but the project development process at Hopper is similar to startups with fast growth in mind, some of the methodologies we most used:
– Brainstorming sessions – Sketches for validation – Design critique – User testing – Growth experiments
– User flow for use cases – AB testing – Data analysis – Job stories