Techvas: A Smart & Personalized News App

Saas

Healthcare

UI/UX

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This case study explores the design thinking, UI/UX process, and interactions that make this app a go-to platform for a smarter, user-friendly news experience.

In a world where information moves fast, staying updated with relevant news can be overwhelming. This news app is designed to offer a personalized, real-time news experience that adapts to user preferences.

By leveraging an intuitive UI and a structured content layout, the app ensures seamless navigation, making it easy for users to bookmark, explore, and engage with articles that matter most to them.

The design prioritizes clarity, accessibility, and personalization, allowing users to filter content based on their interests. With a modern typography style, engaging visuals, and a minimalist interface, the app delivers a premium reading experience. Key features include customizable categories, a sleek bookmarking system, and an adaptive layout, ensuring that users get the news they care about—effortlessly.

Current market problems include

Our trading app solves complex interfaces, delayed data updates, and poor portfolio management challenges

Information Overload for Users

With an overwhelming number of articles, blogs, and news sources, users struggle to find relevant and high-quality content. They often get lost in unnecessary information, making it hard to stay updated on topics they actually care about.

Lack of Engaging Community Features

Most tech news platforms are one-directional, offering only articles without community interaction. Users miss out on discussions, insights, and opinions from experts and other readers.

Inefficient Bookmark & Reading History

Users often lose track of previously read articles or forget to save important ones. Many news platforms lack an intuitive way to organize, access, and revisit saved content efficiently.

We have found an appropriate solution

After several days of research, interviews, ideation and other activities we have agreed on having following features

AI-Powered Personalized Content

TechWAS curates and delivers personalized news based on user preferences, reading habits, and trending topics. The AI-driven recommendation engine ensures that users only receive relevant and high-value content without information overload.

Interactive Commenting & Polls

TechWAS integrates a dynamic comment section, community polls, and discussion forums where users can engage, ask questions, and share insights, creating a more interactive experience beyond just reading.

Smart Bookmarking & Reading Lists

TechWAS provides an easy-to-use bookmarking system, allowing users to categorize saved articles and access their reading history effortlessly. Users can also set reading reminders to revisit articles later.

AI-Powered Personalized Content

Interactive Commenting & Polls

Smart Bookmarking & Reading Lists

User flow

To better understand the application structure, we started by creating the user flow, which helped in defining the information architecture through mapping

Wireframe to visualize structure

We began by creating the user flow to gain a better understanding of the application structure, which then guided the mapping of the information architecture.