Jota Calderone

System

Search

Design of a public, accessible and scalable digital experience for multiple user profiles.

Year

2017

Role

UI Designer

Product

Data analysis tool

Year

2017

Role

UI Designer

Product

Data analysis tool

Context

Search emerged within Analitic as an initiative to explore new ways of analysing Twitter data in real time, with a focus on usability and the rapid understanding of information.


The goal was to test whether a highly simplified interface could deliver meaningful insights without the usual complexity of social listening platforms.

The solution

The project was developed as a collaborative UX/UI effort, combining UX research and UI design to define, prototype and evaluate the system approach.


From a design perspective, the focus was on reducing cognitive friction, prioritising key information and making real-time data easier to read for different types of users.


The solution included:

  • A simple interaction structure based on two complementary views, designed for quick comparison and analysis.

  • Intentional use of visual hierarchy, colour and animation to highlight trends, volume and temporal changes.

  • A straightforward and understandable interface designed to deliver value without requiring complex configuration or prior learning.

Impact

The system was tested by real Analitic users, validating the hypothesis that a simpler experience could improve data understanding and usage.


This approach reduced the perceived complexity of social analysis, making reading and decision-making easier.


Search generated key learnings around simplification, visualisation and experience that later influenced other solutions within the platform.