VMware
Senior Product Designer
Product Design / UX / User Research
10 - 11 wks
The Workspace ONE Cloud platform needed a new way for admins to see analytics behind corporate communications and notifications, so they can ensure their end users complete what is needed.
Provide admins with a tool to view analytics about end user notification engagement, allowing them to better understand communication success and effectiveness.
Product Design
Research & Planning
Visual Design
Initial research focused on better understanding user’s needs, sentiment, and expectations related to corporate communications as well as measuring the potential impact of the new feature.
How to increase the overall usage and engagement of notifications?
Are admins actively interacting with notification engagement analytics?
What metrics are valuable for admins to understand effectiveness and reach?
What type of users find the ability to view analytics important?
A survey was conducted on 25 participants to identify key takeaways, insights, and recommendations for initial concepts and design.
Data collected from our survey and interviews allowed us to gain deeper understanding through combining both qualitative and quantitative insights.
More in-depth interviews further identified specific pain points, needs, and desires, which helped us determine how we could design a highly curated and valuable experience.
Lack of performance metrics can cause a negative impact, such as giving a false sense of success or effectiveness.
Having insights on user behavior and improving the experience are important.
Other must-have data includes the number of users/devices that engaged with a specific element, link, or attachment.
The analytics dashboard should maintain an ease of use and trustworthiness.
Improve the ability to customize, personalize, and download data.
Having a more detail oriented dashboard with drill-down capabilities.
After conducting user interviews, all participant responses were synthesized to identity key themes, opportunities, and features that we could focus our design on.
Our findings were then synthesized to help prioritize and define underlying themes, opportunities, and features.
An affinity map was created to organize high level themes and group similar insights gained from the discovery.
A persona was built based on the data collected to help drive decision making and keep the product focused on solving users pain points, frustrations, and goals.
Insights gained from research and analysis provided a clearer picture of the typical user journey, which helped shape initial thoughts into sketches and wireframes.
A journey map helped determine where opportunities for improving the experience could be made based on typical user expectations, needs, and desires.
Using the insights gained from research, I began sketching out initial ideas for various layouts and UI elements, which were later turned into low-fidelity wires.
Rough sketches were done to get my initial thoughts on paper and brainstorm new ideas for specific UI elements.
YUM's simple information structure makes it easy to navigate and move through tasks.
A usability study was conducted to determine where improvements could be made and identify new ideas to satisfy user expectations, needs, and desires.
Source of restaurant review was unclear
Quick save option not available, had to specify which list to save to
Emphasis on photos made it difficult to find type of food and restaurant ratings
Use color to differentiate YUM's suggestions from a users saved restaurants
Remove multi-step process to find social icons and make immediately visible
Add a moment of delight to let the user know a restaurant was saved
We then moved into validating our concept with users and designed an initial dashboard for testing sessions. Findings from the moderated sessions helped validate the concept, capture user sentiment, and inform our decision making for future improvements.
View notification insights and engagement metrics such as views, opens and actions. Filter results by specific users, groups, and devices.
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View and compare all notifications sent over a selected period of time. Plus, select a single notification for more detailed analytics and context.
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With the help of this new concept, we tested the usability to see if it met user needs, wants, and expectations. As we continue to iterate on the design in an agile setting, the desired goal was to discover how our users engage with the new feature and identify where improvements may be made.
Inspiration was drawn from fine dining restaurants with a focus on minimal yet functional simplicity. The UI design reflects the user's desire to have a clutter free, curated look and feel.
YUM makes the process of finding a restaurant, saving it for later, and sharing it with friends simple and engaging. It connects people to a social network of fellow foodies and only suggests restaurants that match up with each user's preferences and positively reviewed and rated dining experiences.
Intro screen and onboarding
Users land on the map screen after signing in and when opening the app, making searches quick and easy.
After finding a restaurant, users can then save it and add it to as many lists as they'd like
After saving they can share it with their friends or friend groups
Users can follow friends and read their reviews or write a review and share pictures of their own dining experiences
Profiles feature a recommendation section where users can add their top rated spots
YUM recommends restaurants based on a users location, friends, saved restaurants, and their positive posts and reviews.
Integrates all needs into one streamlined experience
Suggests more personalized restaurant recommendations
Supports social connection and engagement
Saves favorites for quick reference later
Gives users more flexibility to create specialized lists
Provides a source of reputable reviews from trusted friends and influencers
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