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thoughtspot

deliverables

  • UX Design

  • Visual Design

    Wireframes

industries

  • Case Study

    Business Intelligence

completed

  • June 2020

Company

deliverables

UX Design

Visual Design

Wireframes

industries

Case Study

Business Intelligence

completed

June 2020

Company

I conceptualized a new UI for ThoughtSpot, a technology company that produces BI analytics search software, to increase user productivity and experience when looking to access and analyze data sets and present analytical findings in reports.

results

Improved Data Management

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menu

Defined Region

Use a collapsible menu and selectable descriptions to streamline navigation.

visibility

Show More

Expand tables to reveal content and use isolation to darken unselected columns.

build

Usability

Rearrange the table window for multitasking and save in the 'choose sources' column.

problem

Data, lots of Data

Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s business decisions by translating the data into statistical visual reports and graphs.

The problem many companies face when using BI software is the ability to look through the shear amount of data and make sure they are using the right most accurate information.

Challenge

Data, lots of Data

Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s business decisions by translating the data into statistical visual reports and graphs.

The problem many companies face when using BI software is the ability to look through the shear amount of data and make sure they are using the right most accurate information.

process

Less is More

To ensure productivity, I utilized key UX principles and leverage them to design the layout of the software to ease the user flow. during the ideating stage, reducing the amount of stimulus and narrowing the field where the information is displayed were important guidelines.

Low-fidelity Wireframes

Following Hick's Law, the time it takes for a person to make a decision as a result of the number of possible choices, I simplified the choices for the user by breaking down complex tasks into smaller steps and grouping them together when possible.

solution

Final Design

Paying close attention to the most intense points and the final moments (the “end”) of the user journey,
I identified the moment when the software is most helpful, valuable, or entertaining and designed to make those moments even better visually and interactively.

Defined Region

Drop-down options

The left menu bar shows available tables ,containing gathered data.

Using a collapsible menu options, the interface minimizes cognitive load for users.

Filtering

Filters are used to narrow down the search for the right table.

To avoid crowding of information, filtering system expands to the right.

description

To read more about the history of the table, a short description is revealed when selecting the desired table.

Show More

Table Reveal

Each table in the Data column can be expanded to reveal to its spread sheet and show its actual content.

More description

When choosing a column title in the spread sheet, a consisted summary is shown right to the table.

isolate

To avoid overwhelming and allow easy skimming of column content, an isolation feature darkens unselected columns.

Usability

flexible placement

The table's window can be rearranged and moved to different places on the interface screen to allow easier multi-taking.

complete

To save the table for future reference, the user can mark it and complete the search process by keeping it in the previous 'choose sources' column.

user flow

User analyze data in order to generate valuable insights that drive business decisions

UUsing ThoughtSpot's Search page, user can chooses the table of data he would like to analyze

If he is not familiar with the data, he can explore different tables by reading their description and learn what they contain

To generate a graph or chart, a user can double-click on columns in a table to create a chart that displays sales by product type.

To narrow down search to show subset data, user will add a filter such as "product=
iphone" so that only sales for iphone would be analyzed

User can always go back, choose a different set of tables and then use their columns and filter values to generate more and more charts and graphs

Once a graph/chart is generated the user inspects it and draws some conclusions such as "what are my best selling products"

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