Timy Gonzalez | UX Designer

ZettaSense

ZettaLabs was a data analytics technology company, later acquired by Fluree, focused on simplifying the process of preparing raw data for analysis. Founded in 2018 and headquartered in Cedar Knolls, New Jersey, ZettaLabs developed an advanced analytics platform called ZettaSense, ZettaClassify, ZettaIngest.

Company

ZettaLabs

Product

ZettaSense

Collaborators

Timy Gonzalez

Role

Director of UX Design

Year

2018-2024

Problem Statement

ZettaLabs is developing ZettaSense to provide powerful complex data processing. To ensure successful adoption, ZettaSENSE must prioritize a user experience that is intuitive and accessible. Without a user-centered design focus, the initial experience risks being complex and overwhelming, potentially leading to low user adoption and hindering users' ability to efficiently derive actionable insights and make informed decisions from the processed data.

Objectives & Goals

Ensure Clarity and Understandability of Complex Data
Goal: Users can easily comprehend the relationships and context within the ZettaSENSE data, regardless of its complexity or interconnectedness.

Metrics: Reduced time to understand key data points, increased user accuracy in interpreting data relationships, positive user feedback on data visualization clarity.

Enable Efficient Data Exploration and Discovery
Goal: Users can quickly and effectively navigate, filter, search, and explore the data within ZettaSENSE to find the information they need.

Metrics: Reduced time to locate specific data sets or insights, increased usage of search and filtering functionalities, positive user feedback on ease of navigation.

Enable Efficient Data Exploration and Discovery
Goal: Users can quickly and effectively navigate, filter, search, and explore the data within ZettaSENSE to find the information they need.

Metrics: Reduced time to locate specific data sets or insights, increased usage of search and filtering functionalities, positive user feedback on ease of navigation.

Facilitate Seamless Interaction with Fluree's Unique Features
Goal: Users can intuitively leverage Fluree's underlying capabilities (e.g., data provenance, smart functions, blockchain integration if applicable) without requiring deep technical knowledge of the platform.

Metrics: Increased adoption of Fluree-specific features within the ZettaSENSE interface, positive user feedback on the integration and value of these features.

Streamline Workflows for Key User Tasks
Goal: The UX supports and simplifies the primary tasks users need to perform with ZettaSENSE, such as data analysis, report generation, or triggering actions based on data insights.

Metrics: Reduced time to complete key user tasks, increased task completion rates, positive user feedback on workflow efficiency.

Provide a Consistent and Intuitive User Interface
Goal: Users experience a cohesive and predictable interface across all aspects of ZettaSENSE, minimizing the learning curve and promoting ease of use.

Metrics: High user satisfaction ratings regarding ease of use and consistency, reduced number of support requests related to navigation or interface confusion.

Offer Effective Data Visualization and Reporting Capabilities
Goal: Users can easily visualize and present complex data in meaningful ways to facilitate understanding and communication of insights.

Metrics: Increased usage of visualization tools, positive user feedback on the clarity and usefulness of visualizations and reports, reduced time spent creating reports.

Ensure Accessibility and Inclusivity
Goal: ZettaSENSE is usable by individuals with a wide range of abilities and technical expertise.

Metrics: Adherence to accessibility guidelines (e.g., WCAG), positive feedback from diverse user groups.

Ensure Accessibility and Inclusivity
Goal: ZettaSENSE is usable by individuals with a wide range of abilities and technical expertise.

Metrics: Adherence to accessibility guidelines (e.g., WCAG), positive feedback from diverse user groups.

Personae Design

Maria Smith

Age

Education

Masters in Computer Science

Status

Married

Occupation

Data Analyst

Location

Mooresville, NC

TEch literate

High

I want an efficient use of my time when using this software.

Bio

Maria lives in Charlotte, NC. She is a data analyst. She loves working with data and likes to mentor junior employees.

Core needs

•

Needs to master a process to ingest, classify, and resolve data

•

Needs to leverage her knowledge of AI to use AI/ML-driven workflows

•

Needs to be productive and efficient

Frustrations

•

The older products she is using have a steep learning curve

•

The older products she uses have bad UX experiences

•

With the older software she uses, she does not have a seamless user experience among all products

Personality

Leader

Thinker

Analyzer

Tech-savvy

Mark Kaiser

Age

Education

Masters in Business Administration

Status

Single

Occupation

Business Analyst

Location

Mooresville, NC

TEch literate

Medium

I am used to wasting a lot of time with products that have confusing user experiences.

Bio

Mark lives in Charlotte, NC. He is a business analyst. He likes to work remotely and he travels frequently to consult with clients.

Core needs

•

Needs to master a process to ingest, classify, and resolve data

•

Needs to leverage his knowledge of AI to use AI/ML-driven workflows

•

Needs to produce trusted golden records

Frustrations

•

The older products he is using have a steep learning curve

•

The older products he uses have bad UX experiences

•

With the older software he uses, he does not have a seamless user experience among products

Personality

Introvert

Thinker

Analyzer

Tech-savvy

Information Architecture

Journey Map and UI Designs

The system displays the project dashboard

The user logs into the system

The user creates a new project

The user adds team members to the project

The user adds data sets to the project

The user maps data set attributes to the entity models

Upon successful login, the system displays the main dashboard.

The user runs the model

The user logs into the system with the provided user name and temporary password. The user follows the authentication procedure, outlined in a separate use case.

The user clicks on Project > Create a New Project and enters the project name, project description, and selects the entity to be resolved.

Using a two-panel layout, the user adds additional team members to this particular project. At the same time, the user provides proper authorizations and roles to the individual project members.

Using a two-panel-layout, the user adds one or more data sets to the project. The user can also change the authoritative ranking for all the data sets selected.

Using a two-panel layout, the user maps the entity model, using a drag-and-drop pattern, for each attribute of the data sets. The mappings have a different visual treatment for better visual identification.

The user runs the model. The system displays a dashboard with confidence level results and other metrics. The user is now ready to repeat the process to create a new project, or proceed to the system training module.