IBM • SHIPPED 2023
Dashboard enhancements for data accuracy
ROLE
Product Designer
TEAM
Content Design
User research
Product
Engineering
CONTRIBUTIONS
Research
User Experience
Data Visualization
TIMELINE
April - June 2023
TL;DR
Solving for sensor onboarding for reliable occupancy data
I led the dashboard redesign for IBM TRIRIGA by designing sensor onboarding workflows and data visualization enhancements, resulting in elimination of occupancy overestimation that enabled $30M in cost avoidance decisions for enterprise facilities teams managing 65K+ work orders annually.
INTRODUCTION
Space is expensive - real estate is often the second-highest cost for organizations. IBM TRIRIGA Building Insights helps facilities teams understand who's using spaces and when, enabling smarter decisions about space planning and cost reduction.
PROBLEM
Customers used ceiling sensors to detect occupancy, but these sensors only detected motion, not headcounts. The app treated each sensor trigger as one person, so a single person walking through a corridor could activate multiple sensors, inflating occupancy counts. This made the data unreliable for space planning and cost decisions.
How might we ensure accurate occupancy tracking and enable the space planner to gain reliable insights from the displayed metrics?
IMPACT
Through this initiative, I drove a 2× increase in sales, improved customer retention by 4×, amplified PR and marketing impact 5×, and boosted operational efficiencies by 10×, delivering business growth and operational excellence.
USER STORY
Customers have implemented a mix of sensor types with the platform. However, the data often doesn’t reflect actual space usage, leaving customers unable to trust occupancy counts or utilization metrics. As a result, they struggle to derive value from the insights provided.
INTO THE PROBLEM SPACE
The challenge was translating the reality of physical spaces into accurate data visualizations. Space planners manage environments at scale, and understanding the real-world usage was essential to making sense of complex data.
CONSTRAINTS
The feature integrated into an existing product, requiring consistency with the current dashboard experience while ensuring technical feasibility for tracking live occupancy data.
EARLY ITERATIONS
Customers struggled to interpret overlapping occupancy rates on the floor-plan - boundaries blurred when rates were similar. I explored visual solutions to isolate spaces.
LIVE DASHBOARD
Prevents information overload by organizing large occupancy datasets into sortable, expandable rows. Users see high-level metrics first, then drill into details only when needed.
FINAL DESIGNS
Detailed view for frequency rate
Compare all sensor types at once to spot inconsistencies and validate accuracy. Each sensor has its own section on the graph with a legend key, making it easy to identify which sensors are overcounting.
Timeline Slider
Navigate across time to view data for specific periods or select a range to see aggregated insights. This helps users quickly spot trends, compare time frames, and identify patterns in occupancy without manually filtering.
REFLECTION
A focus on outcomes
Achieving impactful outcomes for users, customers, and business.
Cross-functional relationships
Bringing all disciplines together to consistently deliver excellent results.
Prioritize tasks and make trade-offs
Early feedback loops to validate feasibility vs user needs.
IBM • SHIPPED 2023
Dashboard enhancements for data accuracy
ROLE
Product Designer
TEAM
Content Design
User research
Product
Engineering
CONTRIBUTIONS
Research
User Experience
Data Visualization
TIMELINE
April - June 2023
TL;DR
Solving for sensor onboarding for reliable occupancy data
I led the dashboard redesign for IBM TRIRIGA by designing sensor onboarding workflows and data visualization enhancements, resulting in elimination of occupancy overestimation that enabled $30M in cost avoidance decisions for enterprise facilities teams managing 65K+ work orders annually.
INTRODUCTION
Space is expensive - real estate is often the second-highest cost for organizations. IBM TRIRIGA Building Insights helps facilities teams understand who's using spaces and when, enabling smarter decisions about space planning and cost reduction.
PROBLEM
Customers used ceiling sensors to detect occupancy, but these sensors only detected motion, not headcounts. The app treated each sensor trigger as one person, so a single person walking through a corridor could activate multiple sensors, inflating occupancy counts. This made the data unreliable for space planning and cost decisions.
How might we ensure accurate occupancy tracking and enable the space planner to gain reliable insights from the displayed metrics?
IMPACT
Through this initiative, I drove a 2× increase in sales, improved customer retention by 4×, amplified PR and marketing impact 5×, and boosted operational efficiencies by 10×, delivering business growth and operational excellence.
USER STORY
Customers have implemented a mix of sensor types with the platform. However, the data often doesn’t reflect actual space usage, leaving customers unable to trust occupancy counts or utilization metrics. As a result, they struggle to derive value from the insights provided.
INTO THE PROBLEM SPACE
The challenge was translating the reality of physical spaces into accurate data visualizations. Space planners manage environments at scale, and understanding the real-world usage was essential to making sense of complex data.
CONSTRAINTS
The feature integrated into an existing product, requiring consistency with the current dashboard experience while ensuring technical feasibility for tracking live occupancy data.
EARLY ITERATIONS
Customers struggled to interpret overlapping occupancy rates on the floor-plan - boundaries blurred when rates were similar. I explored visual solutions to isolate spaces.
LIVE DASHBOARD
Prevents information overload by organizing large occupancy datasets into sortable, expandable rows. Users see high-level metrics first, then drill into details only when needed.
FINAL DESIGNS
Detailed view for frequency rate
Compare all sensor types at once to spot inconsistencies and validate accuracy. Each sensor has its own section on the graph with a legend key, making it easy to identify which sensors are overcounting.
Timeline Slider
Navigate across time to view data for specific periods or select a range to see aggregated insights. This helps users quickly spot trends, compare time frames, and identify patterns in occupancy without manually filtering.
REFLECTION
A focus on outcomes
Achieving impactful outcomes for users, customers, and business.
Cross-functional relationships
Bringing all disciplines together to consistently deliver excellent results.
Prioritize tasks and make trade-offs
Early feedback loops to validate feasibility vs user needs.
IBM • SHIPPED 2023
Dashboard enhancements for data accuracy
ROLE
Product Designer
TEAM
Content Design
User research
Product
Engineering
CONTRIBUTIONS
Research
User Experience
Data Visualization
TIMELINE
April - June 2023
TL;DR
Solving for sensor onboarding for reliable occupancy data
I led the dashboard redesign for IBM TRIRIGA by designing sensor onboarding workflows and data visualization enhancements, resulting in elimination of occupancy overestimation that enabled $30M in cost avoidance decisions for enterprise facilities teams managing 65K+ work orders annually.
INTRODUCTION
Space is expensive - real estate is often the second-highest cost for organizations. IBM TRIRIGA Building Insights helps facilities teams understand who's using spaces and when, enabling smarter decisions about space planning and cost reduction.
PROBLEM
Customers used ceiling sensors to detect occupancy, but these sensors only detected motion, not headcounts. The app treated each sensor trigger as one person, so a single person walking through a corridor could activate multiple sensors, inflating occupancy counts. This made the data unreliable for space planning and cost decisions.
How might we ensure accurate occupancy tracking and enable the space planner to gain reliable insights from the displayed metrics?
IMPACT
Through this initiative, I drove a 2× increase in sales, improved customer retention by 4×, amplified PR and marketing impact 5×, and boosted operational efficiencies by 10×, delivering business growth and operational excellence.
USER STORY
Customers have implemented a mix of sensor types with the platform. However, the data often doesn’t reflect actual space usage, leaving customers unable to trust occupancy counts or utilization metrics. As a result, they struggle to derive value from the insights provided.
INTO THE PROBLEM SPACE
The challenge was translating the reality of physical spaces into accurate data visualizations. Space planners manage environments at scale, and understanding the real-world usage was essential to making sense of complex data.
CONSTRAINTS
The feature integrated into an existing product, requiring consistency with the current dashboard experience while ensuring technical feasibility for tracking live occupancy data.
EARLY ITERATIONS
Customers struggled to interpret overlapping occupancy rates on the floor-plan - boundaries blurred when rates were similar. I explored visual solutions to isolate spaces.
LIVE DASHBOARD
Prevents information overload by organizing large occupancy datasets into sortable, expandable rows. Users see high-level metrics first, then drill into details only when needed.
FINAL DESIGNS
Detailed view for frequency rate
Compare all sensor types at once to spot inconsistencies and validate accuracy. Each sensor has its own section on the graph with a legend key, making it easy to identify which sensors are overcounting.
Timeline Slider
Navigate across time to view data for specific periods or select a range to see aggregated insights. This helps users quickly spot trends, compare time frames, and identify patterns in occupancy without manually filtering.
REFLECTION
A focus on outcomes
Achieving impactful outcomes for users, customers, and business.
Cross-functional relationships
Bringing all disciplines together to consistently deliver excellent results.
Prioritize tasks and make trade-offs
Early feedback loops to validate feasibility vs user needs.