Panorama
Enterprise Tool • End to End • Data Visualization
Panorama is an internal tool designed for Uber to monitor, diagnose and resolve ride-sharing marketplace issues.
! Important: data in this page is for illustration purpose only and doesn't represent any real business numbers.
time
2019/2020
client
Uber
role
Lead Designer

data in this page is for illustration purpose only and doesn't represent any real business numbers.
Project Summary
Panorama is a brand new product that we designed from scratch in 2019. I was involved from the very beginning of the product planning, and led the key design activities throughout this project.
Phase 1
Product Vision
Concept Design
My Role: Team Lead
Phase 2
Fundamental Research
My Role: Support
Phase 3
Product
Definition
My Role: Support
Phase 4
MVP
Design
My Role: Design Lead
Where it all started
What is our Product Vision for 2020?
Asked by our head of product. To answer his question, we hosted a 3.5-day Design Sprint to collect insight and generate ideas. After the Design Sprint, I led a team of 3 designers to develop high fidelity concept and craft a storyline for the northstar experience
Picture: slides from the Design Sprint and Concept DesignSlide (intentionally blurred)

What happens after concept design
Turn Vision into Reality
We started from one of the concept directions. With a vision that got buy-in from leadership, we got the resource to do fundamental research so that we can validate the problems and dig into the details of use cases.
Research Outcome
3 Personas

3 Problems
01
Fragmented Workflow
Constantly jumping between many data sources, copy & pasting information, and resetting filters to obtain desired views hampers productivity.
02
Siloed Intelligence
Each existing tool offers only a slice of the domain, and altogether painting an incomplete view of the markets.
03
Insufficient Dimensionality
Deeper analyses are not possible due to the lack of suppor tin slicing and comparing the data in a meaningful way.
9 User Needs
Seasonality
Extended Data Source
Trust
Metric Standardization
Segmentation
Latency and Outage Info
Contextual Information
Data Comprehension
Reliability
Design Principles
Holistic
Standardization
Dimensionality
Framework
3 Tiers
Territory, City, Neighborhood
4 Exploratory Modules
Data Table, Time Series, Geo, Map, Heatmap
4 Segmentation Types
Product, Geo Location, Time, User Cohort


