Triplicity was born out of a Stanford University class which challenged groups of students to examine the world around them and think about problems which need solving. Our group decided to look at the mundane, everyday problems encountered by most Americans. Our initial list included things like choosing the right healthcare provider and finding the right gym. After conducting numerous interviews with potential customers, we narrowed on focus on something most of us do every day but typically accomplish nearly on autopilot: the commute from home to work.
Commuters settle on a method/route for their commute, and rarely revisit, even as the transit environment changes and the optimal method could be changing. As an extension of this, we identified an information disconnect between various ride-sharing applications where users could be missing out on a cheaper fare/faster trip due to lack of desire to "shop around" various apps.
With our problem identified, we went about the process of user research, conducting interviews and surveys with potential users to determine who our end users would be, what their use cases and prioroties were, and determining their idea of value.
After conducting extensive research, we identified two main potential user groups:
In addition to segmenting our users, we tried to come up with common "user stories", or narratives which would be widespread among our userbase, and which our Triplicity service could address through a product offering:
As part of our product feasibility study, we attempted to estimate the Long Term Value (LTV) of a typical Triplicity user. Below is a breakdown of our calculation assumptions and projected LTV:
We ran a series of Landing Page A/B tests to fine tune our message and further refine our target demographics. Our timeframe was very compressed in the context of a class project, but we were still able to garner significant insights which validated our initial findings and hypothesis.
We sketched out our idea for our service first in low fidelity on paper, and then in a more interactive prototype format. We selected a number of potential Triplicity users in our target demographic and had them click evaluate the interactive prototype, gathering feedback and iterating throughout the process to refine our product flows and layout.
The team undertook extensive planning and scoping work to lay out the next steps for product development.
At the conclusion of the project, the team put together a brief video to solicit investor interest for building a first version of Triplicity. The video describes the problem, how the product solves that problem, development costs, payback period, and potential expansion opportunities. Watch the video below: