Turning data overload into decision clarity for J&J's global supply chain
Turning data overload into decision clarity for J&J's global supply chain
A bloated Tableau workbook nobody trusted → a focused command center that cut decision time by 60% across 3,800+ supply chain nodes.
A bloated Tableau workbook nobody trusted → a focused command center that cut decision time by 60% across 3,800+ supply chain nodes.
A bloated Tableau workbook nobody trusted → a focused command center that cut decision time by 60% across 3,800+ supply chain nodes.
60%
Reduction in time-to-insight for supply chain analysts
Reduction in time-to-insight for supply chain analysts
94%
Increase in user satisfaction score post-redesign
Increase in user satisfaction score post-redesign
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ROLE
Senior Product Designer
TEAM
1 designer, 1 PM, 6 stakeholders
TOOLS
Figma, Tableau, Miro
PLATFORM
Enterprise Web App
01.
The context
The existing supply chain dashboard was not meeting the needs of its users due to it's overwhelming, bloated, and non-user-friendly design. Users are experiencing challenges in accessing and processing the vast amount of data and information presented on the dashboard, leading to increased frustration and inefficiency. The current design does not consider the users' goals or workflows, resulting in difficulty in performing essential tasks and identifying critical information quickly.
The existing supply chain dashboard was not meeting the needs of its users due to it's overwhelming, bloated, and non-user-friendly design. Users are experiencing challenges in accessing and processing the vast amount of data and information presented on the dashboard, leading to increased frustration and inefficiency. The current design does not consider the users' goals or workflows, resulting in difficulty in performing essential tasks and identifying critical information quickly.
The existing supply chain dashboard was not meeting the needs of its users due to it's overwhelming, bloated, and non-user-friendly design. Users are experiencing challenges in accessing and processing the vast amount of data and information presented on the dashboard, leading to increased frustration and inefficiency. The current design does not consider the users' goals or workflows, resulting in difficulty in performing essential tasks and identifying critical information quickly.
13+
Tableau tabs with overlapping, inconsistent data views
Tableau tabs with overlapping, inconsistent data views
Tableau tabs with overlapping, inconsistent data views
45 min
Average time to generate a single risk report
Average time to generate a single risk report
Average time to generate a single risk report
88%
of users reported difficulty finding critical information
of users reported difficulty finding critical information
of users reported difficulty finding critical information
3,841
supply chain nodes across 29 countries with no unified view
supply chain nodes across 29 countries with no unified view
supply chain nodes across 29 countries with no unified view
02.
The legacy problem
The legacy problem
What I inherited: a Tableau workbook optimized for data, not decisions.
What I inherited: a Tableau workbook optimized for data, not decisions.
What I inherited: a Tableau workbook optimized for data, not decisions.
Information overload
Information overload
Dense tables with 15+ columns, no visual hierarchy, and raw database field names. Users had to interpret metrics like 'TTR [d]', 'RRE [Agg]', and 'ADJ VAR [$MM]' without guidance.
Dense tables with 15+ columns, no visual hierarchy, and raw database field names. Users had to interpret metrics like 'TTR [d]', 'RRE [Agg]', and 'ADJ VAR [$MM]' without guidance.
No task-oriented structure
No task-oriented structure
Tabs were organized by data source, not by user workflow. An analyst checking supplier risk had to visit 4 different tabs and mentally cross-reference data.
Tabs were organized by data source, not by user workflow. An analyst checking supplier risk had to visit 4 different tabs and mentally cross-reference data.
Zero progressive disclosure
Zero progressive disclosure
Every data point was presented at the same visual weight from enterprise KPIs down to individual component codes. No ability to drill from summary to detail.
Every data point was presented at the same visual weight from enterprise KPIs down to individual component codes. No ability to drill from summary to detail.
No actionable outputs
No actionable outputs
The dashboard showed data but never answered 'so what?' No alerts, no recommended actions, no risk scoring that mapped to business decisions.
The dashboard showed data but never answered 'so what?' No alerts, no recommended actions, no risk scoring that mapped to business decisions.
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03.
How I went about fixing it
How I went about fixing it
Research with 8 supply chain analysts revealed a clear pattern: users needed answers, not data.
Research with 8 supply chain analysts revealed a clear pattern: users needed answers, not data.
Research with 8 supply chain analysts revealed a clear pattern: users needed answers, not data.
Decision-first hierarchy
Analysts start their day asking 'What's at risk?' not browsing tables. The UI needed to lead with answers.
→ Designed an enterprise KPI dashboard with resilience index, exposure, and critical alerts front-and-center.
→ Designed an enterprise KPI dashboard with resilience index, exposure, and critical alerts front-and-center.
Overview
Overview
Overview
Node Overview
Node Overview
Node Overview
Node Summary/Detail
Node Summary/Detail
Node Summary/Detail
Progressive drilldown
Users need the overview 90% of the time, deep data 10%. The old UI gave everything equal weight.
→ Built a 3-tier architecture: Overview → Node Overview → Node Detail with contextual filters that persist.
→ Built a 3-tier architecture: Overview → Node Overview → Node Detail with contextual filters that persist.
Contextual intelligence
Analysts were spending 30+ minutes writing reports that followed the same template every quarter.
→ Introduced an AI-powered assistant that generates executive narratives, suggests remediation, and models disruption scenarios.
→ Introduced an AI-powered assistant that generates executive narratives, suggests remediation, and models disruption scenarios.
04.
Design execution
The redesigned dashboard puts daily deliveries front and center, with streamlined actions for managing each package.
The redesigned dashboard puts daily deliveries front and center, with streamlined actions for managing each package.
The redesigned dashboard puts daily deliveries front and center, with streamlined actions for managing each package.
Supply Chain Overview
The primary landing view consolidates enterprise KPIs, portfolio health trends, source mix analysis, and active alerts into a single scannable dashboard — replacing 4 separate Tableau tabs.
Stakeholder value: Executives get a full risk picture in 30 seconds instead of 45 minutes.
Stakeholder value: Executives get a full risk picture in 30 seconds instead of 45 minutes.
The AI assistant (Supply Chain AI) was designed to generate executive narratives, model disruption scenarios, and suggest remediation priorities, reducing quarterly reporting prep from hours to minutes.
The AI assistant (Supply Chain AI) was designed to generate executive narratives, model disruption scenarios, and suggest remediation priorities, reducing quarterly reporting prep from hours to minutes.
The AI assistant (Supply Chain AI) was designed to generate executive narratives, model disruption scenarios, and suggest remediation priorities, reducing quarterly reporting prep from hours to minutes.
Node Overview: Filtered Intelligence
A contextual filter panel with persistent state lets analysts drill into specific sectors, products, or suppliers. Resilience scores, AVAR exposure, and product breakdowns update in real-time, replacing the need to cross-reference 3 separate tabs.
Stakeholder value: Analysts self-serve answers without requesting custom Tableau views.
Stakeholder value: Analysts self-serve answers without requesting custom Tableau views.
Node Detail: Actionable Risk Profile
Each supplier node gets a dedicated profile with key metrics, affected products, alternative suppliers with qualification scores, risk dimension breakdowns, recommended actions with owners and deadlines, and a full activity log.
Stakeholder value: Procurement teams can act on risk immediately — no more emailing analysts for context.
Stakeholder value: Procurement teams can act on risk immediately — no more emailing analysts for context.
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05.
Stakeholder management
Navigating a global enterprise with competing priorities across MedTech, Pharma, and Consumer Health.
Navigating a global enterprise with competing priorities across MedTech, Pharma, and Consumer Health.
Navigating a global enterprise with competing priorities across MedTech, Pharma, and Consumer Health.
VP Supply Chain
Presented resilience index framework as the north-star metric - unified competing departmental KPIs into a single executive view.
Presented resilience index framework as the north-star metric - unified competing departmental KPIs into a single executive view.
Presented resilience index framework as the north-star metric - unified competing departmental KPIs into a single executive view.
Analytics Engineering
Partnered to define data contracts early, ensuring the new IA mapped cleanly to existing data pipelines without requiring ETL rework.
Partnered to define data contracts early, ensuring the new IA mapped cleanly to existing data pipelines without requiring ETL rework.
Partnered to define data contracts early, ensuring the new IA mapped cleanly to existing data pipelines without requiring ETL rework.
Regional Analysts
Ran co-design workshops to validate filter workflows and drill-down patterns against real daily tasks, resulting in 3 major IA revisions.
Ran co-design workshops to validate filter workflows and drill-down patterns against real daily tasks, resulting in 3 major IA revisions.
Ran co-design workshops to validate filter workflows and drill-down patterns against real daily tasks, resulting in 3 major IA revisions.
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06.
Reflection
This project reinforced that enterprise redesigns succeed when you earn trust through domain fluency, not just design craft. Learning supply chain terminology, understanding resilience metrics, and speaking the analysts' language was as important as pixel-perfect execution.
This project reinforced that enterprise redesigns succeed when you earn trust through domain fluency, not just design craft. Learning supply chain terminology, understanding resilience metrics, and speaking the analysts' language was as important as pixel-perfect execution.
This project reinforced that enterprise redesigns succeed when you earn trust through domain fluency, not just design craft. Learning supply chain terminology, understanding resilience metrics, and speaking the analysts' language was as important as pixel-perfect execution.
What I'd do differently:
What I'd do differently:
What I'd do differently:
Prototype the AI assistant earlier to validate prompt patterns with real analysts
Prototype the AI assistant earlier to validate prompt patterns with real analysts
Prototype the AI assistant earlier to validate prompt patterns with real analysts
Establish a shared design system with the data engineering team from week one
Establish a shared design system with the data engineering team from week one
Establish a shared design system with the data engineering team from week one
Run A/B tests on the information hierarchy before committing to the 3-tier drill-down (but didn't have luxury during this project)
Run A/B tests on the information hierarchy before committing to the 3-tier drill-down (but didn't have luxury during this project)
Run A/B tests on the information hierarchy before committing to the 3-tier drill-down (but didn't have luxury during this project)
Let’s Build Your Website
Tell me about your project and let’s create a fast, modern website together.
Booking for Q1 '26
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Ready to drive measurable impact for
your team?
For the past 10 years, I've been helping founders and product teams ship design that moves business metrics
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Booking for Q1 '26
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Ready to drive measurable impact for
your team?
For the past 10 years, I've been helping founders and product teams ship design that moves business metrics
Happy clients
Years of experience
Raised by clients
Projects completed
Booking for Q1 '26
Let's talk →
Ready to drive measurable impact for
your team?
For the past 10 years, I've been helping founders and product teams ship design that moves business metrics
Happy clients
Years of experience
Raised by clients
Projects completed
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