SAP’s self-learning analytics tool, monitoring anomalies in real-time.
SAP
B2B
UXR
UXD
Challenge
Help data analysts quickly identify and evaluate vital anomalies while filtering out false positives
Opportunity
Redesign an AI-powered analytics tool to filter false anomalies and deliver real-time alerts for critical events
Team
UX Designer - Me
UX Designers
UX Researcher
Project Manager/Lead
Development Team (SAP Labs)
Timeline
5 months
Tool
Figma
Microsoft Teams
MIcrosoft Words
JavaScript, HTML, CSS
Task
User interview
Usability test
Wireframe
Prototyping
UI design
Component design
I omitted confidential information on this page to comply with my non-disclosure agreement. All information in this case study is my own and does not necessarily reflect the views of SAP.
My personal thoughts and anecdotes will be quoted on the right panel.
Working with people from different timezones taught me about time-management a lot.
Background
AI-powered tool for data analysts to quickly uncover critical anomalies in large, time-sensitive investigations
Data analysyst's job is to discover vital anomalies in a short time
But data continuously grows in size, complexity, and velocity.
They face too many notifications, sometimes involving false-positive information.
Tracking all potentially relevant metrics is humanly impossible. Manual exploration is insufficient and may come too late.
The biggest challenge for us was misleading information; how do we guide users to filter false-positives?
Solution
Self-learning cloud service
Use AI to continuously monitor data, filter key anomalies, and quickly display insights on the Overview page
Find anomalies by customizing metrics
Define custom metrics to focus on specific anomalies for precise analysis
See new patterns in a card layout
Identify anomalies and trends in new data that deviate from expectations, displayed as card components
Check high-level info through attribute keywords
Display anomaly attributes within labels and highlight deviations in blue for quick identification
Analyze critical patterns with essential details
Easily compare and review pattern deviations in an expanded window
Communicate quicker
Enhance decision-making with the comment feature
Share metrics with colleagues
Easily share your metrics with others and add their metrics to your board
Track and manage key anomalies using flags
Flag anomalies for follow-up on your My Insights page
Users needed a way to filter and navigate easily to differentiate crucial anomalies from false positives.
→ Focused on designing a system to display anomaly alerts clearly and enable users to sort and prioritize them efficiently.
Result
Increased navigation usability
Faster & easier anomaly finding
Process
Interview & usability testing for an effective design process
Making ‘how might we’ question
“How might we let users become aware of new anomalies, correlations, and micro-trends in online data at the point of detection?”
How finding anomalies matters in business
Quickly discovering anomalies means business profits
Collaborating with developers, PMs, and UX designers/researchers
With UX Designer
Designed low to high-fidelity screens, working on the same file or distributing tasks depending on the scope.
With stakeholders
Collaborated to weave their needs.
With UX researcher
Prepared the research, took notes, and analyzed the interviews.
With developers& PM
With developers & PM: Weekly sync to discuss each week's design process.
Rebuilding navigation and redesigning the platform
Prototyping responsibilities
My key responsibilities were to restructure and prototype the website’s navigation
Customer demo in high-visibility events
My work was used for various customer demos and presentations, including a big event like SAP NOW.
Users needed a way to filter and navigate easily to differentiate crucial anomalies from false positives.
→ Focused on designing a system to display anomaly alerts clearly and enable users to sort and prioritize them efficiently.
Reflection
Iteration is meaningful, but iteration without purpose does not have any meaning
I realized that ‘WHY’ enormously matters in shipping the real project, especially a B2B project requiring specific knowledge. Thinking about the reason for working on each screen has enabled me to be curious and get a profound insight into each screen.
Read the full study (Password required)
Experience
UX Design Specialist (T2)
SAP
2024.05 — Current
UX Design Co-Op
Motorola Solutions
2024.02 — 2024.05
Design Technologist Intern
SAP
2023.05 — 2024.02
...and more
Get in Touch
I’m happy to collaborate!
Please reach out via LinkedIn.
Education
New York University, Tisch School of the Arts
BFA Interactive Media Arts, Game Design
2018 — 2024