Inside.com is an online community where professionals can improve their business network and dive into their interests by sharing and discussing news, tweets and media content related to specific list of  related topics.
Explore Live ProductThe design stage of this product was directed by myself and developed by the 10 Grounds team under direction of the Inside team and the CEO, Founder, and Angel Investor Jason Calacanis.
Applied methodologies
User Centered Design
Async Design Sprints
Team
1 Lead Designer
1 Junior Designer
Duration
3 months from Start to production MVP
Delivery
UX Architecture
User Journey Maps
Production Figma File
Base Design System
Transitioning from the classic email newsletter to a community-sourced news-based social media app
The central points for our process of designing the product were creating a frictionless experience, avoiding extra steps in simple actions, and displaying different types of content without overshadowing it. We constantly wondered what was necessary for both, the users, and the business, and always arrived at two principal actions: consuming and generating content.
this user journey map represents how the different kinds of users interact with each other in the process of consuming and generating content.
The content is curated by both, users and moderators, users are able to up-vote interesting stories, and the inside analyst’s team is focused on generating high-quality content and moderating each topic feed, promoting top stories to the homepage.
The Story Card is the main component of the product, the layout had to be able to fit up to 6 different types of posts, keeping the same structure and without letting stand-out one type of content from the others.
We knew we were building something big, and we were just starting. That’s why we focused on scalable and reusable components.
Through testing with users and design iterations, we managed to differentiate each type of story in a simple and intuitive way.Achieved design Design System, a full library of components in order to have a scalable product.
With the difficulty of the complexity of the data, we could also reach a super clean visualization that helps the readability.
Explore Live Product!