Winosaurus

Client Project

Helping data professionals organize wine data to foster business growth

 

OVERVIEW

Role: UX/UI Designer & Project Manager

Tools: Figma, Photoshop, Illustrator

Duration: 2 months

Team Members: 2 Lead Visual Designers, 1 Lead Researcher

Devices: Web App

Client: Winosaurus

 

SUMMARY

  • Redesigned a software that helps Data Scientists organize wine data to foster business growth

  • Managed a team of four by organizing a three-week design sprint that focuses heavily on fostering team dynamics to ensure a happy and productive work environment

  • Collaborated with the client to ensure both user needs and business goals are met

 

RESEARCH

 

Executive Summary

  • There is a gap in the Wine Industry

  • Using Data Analytics in the wine industry to measure sales and predict outcomes has the potential to boost wine sales by 208% (VonVino)

  • But many wineries don’t gather and analyze data on purchase patterns for wines that they’re selling.

  • Much of the reason is that they don’t have the tools or software to do so

  • Winosaurus is a software that helps data professionals organize wine data to foster business growth

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Competitive Analysis

  • Enolytics and Winepulse are the biggest direct competitors to Winosaurus

  • Most competitors have community spaces which provides users another avenue to search for help when needed

  • After looking at these competitors, our team was able to identify key features used in analytics interfaces and apply them in our own designs

 
Key Insights 4.jpg

Affinity Map

I co-discovered the need…

  • for increased customization options

  • for UI that was more legible and accessible

  • for customers to be able to explore their data and reveal actionable insights that might affect business strategy

 

Persona

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Problem Statement

Data Analysts need a way to assess data in order to gain actionable business insights.

How Might We

How might we provide analysts with the functions and UI to swiftly identify business insights?

 

User Flow

I co-created the following user flow.

  • User is a data analyst

  • Happy path: creating a chart, add to dashboard and share with colleagues

  • We shortened this flow over several iterations because Data Analysts are busy people.

  • So, the less energy they spend trying to figure out the software means the more energy they can spend analyzing data and sharing it with their colleagues to help meet business goals

 

DESIGN

Sketches

  • For the homepage, we decided to remove the “Databases” tab. Users found it unconventional and confusing.

  • For the chart control panel: In later iterations, we added a time filter. Several Data Analysts expressed how important filtering out time was when analyzing data.

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Design System

  • Thinking about the long hours that a data analyst might have to look at this software, we decided to pick colors based on accessibility to all.

  • We also wanted to stay within the Winosaurus range of colors and branding.

 

Accessibility

  • We explored various color schemes, of course including the brand of Winosaurus.

  • But at the end of it all, we ended up iterating the original colors to a darker contrast after testing them for accessibility.

 

Low-Fidelity Wireframes

  • Here you can see our original sign-in and landing pages.

  • This landing page was largely based upon the existing Winosaurus app and represents the bottom-to-top hierarchy of the product, where data informs charts, which makes up dashboards

Sign IN.jpg
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Control Panel.jpg
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  • We initially had a 2-step dialogue sequence that asked the user to specify a data source and a data visualization before accessing chart-editing features.

  • We also built out an export process that allowed users to edit settings before downloading the dashboard file.

  • But of course, we had to test out our decisions.

Low-Fidelity Test Results & Iteration

  • Results:

    • 1. Too many steps to create a chart

    • 2. Difficult to navigate

 

Mid-Fidelity Wireframes

  • We re-arranged the order of the landing page elements because access to dashboards needed to be easier since they users expressed that they are the most-viewed screens in this type of app.

Sign IN.jpg
Control Panel.jpg
  • We added more features during the creation of charts and visualizations.

  • Additionally, we started putting together an “edit-dashboard” page.

  • Here, users were expected to drag the charts they had just created from the “insert charts” panel onto the dashboard area.

Mid-Fidelity Test Results & Iteration

  • Results:

    • 1. Adding a time filter to chart control panel

    • 2. Distracting data source tab on homepage

    • 3. Sharing dashboards via URL

Mid-fi Iterate 1.jpg
Mid-fi Iterate 2.png
 

High-Fidelity Wireframes

  • We decided to swap out the stock image of wine bottles because users found it a little distracting.

  • We replaced the image with Winosaurus illustrations to keep in line with client branding and to add a little fun to the experience.

  • The team also removed the colorful tabs from the homepage because users were having difficulty deciphering what to focus their attention on.

Sign In 2.jpg
Chart CP - Map Vis.jpg
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Landing Page.jpg
Chart CP - Time Filter.jpg
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  • We added suggested data visualizations to the right editing panel to help users complete a new chart faster since Data Analysts are frequently on a time crunch.

  • Users expressed a desire to customize the layout of their dashboard so we gave them these capabilities

  • Data Analysts are busy people so we wanted to shorten the steps they have to go through to share their findings with their co-workers/clients.

 

Prototype

 
 
 

CONCLUSION

Next Steps

  • User customization

  • Natural language querying on dashboard

  • Onboarding tutorial & documentation

  • Working with Development to bring the web app to life

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