Data Sphere

UI/UX, Web App

Role

UX/UI Designer

Project Scope

Data

Location

Ames, IA

Description

Data Sphere is an advanced data platform designed to empower researchers and decision-makers with comprehensive search, filtering, and visualization tools. The platform allows users to easily find datasets by location, population, or topic, and offers customizable reporting and export options in various formats. With dynamic filters and data visualization tools, Data Sphere transforms raw data into actionable insights to support informed policy decisions. Users can also refine datasets by extracting key insights, enabling efficient analysis and decision-making.

Value Proposition

Based on the categorized themes on the survey analysis, the following value proposition was created that lists the expected features for the system

Comprehensive Data Search and Filtering:  Advanced search and filtering tools to easily find datasets by location, population, or topic.
Customizable Reporting and Export Options:  Export reports in various formats (PDF, Excel, PPTX) with dynamic filters for tailored data presentations.
Data Visualization and Insights for Policy:  Convert data into actionable insights with visual tools to guide informed decision-making.
Refine Data Sets:  Efficiently mark up and extract key insights from large datasets.

UX Process

Conducted Interviews 🎤📝
Engaged with potential users to gather insights about their workflows, data usage, and accessibility requirements.
Defined the Persona 🧑‍💻👩‍🔬
Created detailed user personas to represent researchers and data collectors, focusing on their needs, challenges, and goals.

Mapped the Audience Journey 🗺️✍️|
Developed an audience journey map to outline key touchpoints, pain points, and opportunities for improving their experience with data management.
Sketched and Ideated ✏️📐
Translated insights into initial sketches and wireframes, focusing on features like data search, reporting, and visualization to address user needs effectively.

Value Proposition

Based on the categorized themes on the survey analysis, the following value proposition was created that lists the expected features for the system

Comprehensive Data Search and Filtering:  Advanced search and filtering tools to easily find datasets by location, population, or topic.
Customizable Reporting and Export Options:  Export reports in various formats (PDF, Excel, PPTX) with dynamic filters for tailored data presentations.
Data Visualization and Insights for Policy:  Convert data into actionable insights with visual tools to guide informed decision-making.
Refine Data Sets:  Efficiently mark up and extract key insights from large datasets.

UX Process

Conducted Interviews 🎤📝
Engaged with potential users to gather insights about their workflows, data usage, and accessibility requirements.
Defined the Persona 🧑‍💻👩‍🔬
Created detailed user personas to represent researchers and data collectors, focusing on their needs, challenges, and goals.

Mapped the Audience Journey 🗺️✍️|
Developed an audience journey map to outline key touchpoints, pain points, and opportunities for improving their experience with data management.
Sketched and Ideated ✏️📐
Translated insights into initial sketches and wireframes, focusing on features like data search, reporting, and visualization to address user needs effectively.