Data Analytics
After merging with a company that is best known as a sample provider, connecting people to problems, managing that data had growth factor potential.
With a new vision to integrate analytics with the entire research process, we leveraged a new vision and data from the existing intellectual property.
Jobs to be Done
Sessions were held to create job maps and information architecture to help understand the new landscape and create relationships in the organization.
Vision
Competitive Analysis
We looked to other enterprise solutions, solutions designed to handle survey data (SPSS) as well as other types of data and even to more custom BI solutions.
Smart Customization
We wanted an lightweight way for our users to get to insights quickly.
Interconnectedness
Some users would have access across the project suite/ research continuum.
Research
Data Analysis
We looked at user logs from the Marketsight product and talked to internal and external users about the journey.
Reverse Visualization
We did a deep dive to understand the survey and sample internal products we’d be supporting.
Guerilla Testing
We ran small qualitative usability studies to validate the interaction design leveraging internal and external users.
Solution
Design System
Creating our design system allowed a single language as we set out to create a universal experience.
Charts System
The system for visualizations included an exhaustive and extensible set for single and muti-variable data scenarios. As well as dashboard and grid systems.
Lean Data Transformation
Connected
Users can navigate in and out of products to solve different research tasks.
Topline
The default mode allows members to monitor the study as the study runs and see results by question.
Views
Users can easily change modes to see the data broken out in different ways.
Smart Segmentation
Users can easily add segments and stat testing to find insights in the data.
Filter
Members can create interactive reports to an important data segment.
Export
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