The next evolution of social networks includes better tools for understanding one's own personality as well as others in order to get along better in social and work environments. The PeerBetween platform seeks to provide an "Insights and Instruction Engine" that can help people achieve this in the course of everyday life.
The work centered around my team and I understanding the personality types and how we could integrate a regular habit of question-answering within a tool that taught insights and understanding about personalities and behavior.
The team and I considered different ways to organize content and functionality.
We looked simple "dashboard" style user-models that organized content in a way to be aligned with other office-style business applications.
Wireframes were a key step in the process of considering how users should best interact with studying profiles, connecting, and of course, answering questions about oneself as well as perspective on peers.
We worked to map out every possible interaction and detail around core-strengths, public and personal perceptions and more.
We developed "positive personality" traits as well as an icon system for the "Five-Factor" model that the overall PeerBetween system is based on. This approach minimizes any negativity in judgement of behaviors.
The visual design for the product balances bright colors and the spirit of personality along with presenting a simple floating panel metaphor with gradating blends to help emphasize the blurred lines between different personalities.
In this view, you see the perspective of oneself and both public and self-perception results along with more detail in the first tab, "About You."
As the user's participation on the platform increases, insights and context increases. There are requests for new Peers as well as suggestions for people in your network to connect with.
In the example of an office environment, peers and groups are preset and available for the user to self-select and answer questions anonymously, yet still reflect on the public perception.
The questions process is simple and based on Stanford University Professors' Psychology research and oversight.
In addition to quick information about public and self perception in the product, we generate a more detailed report through an automated process that pulls data into a template for further reading.
We assembled this video for an early startup pitch competition that presented the platform in a short use-case.