My contribution
Stakeholder interviews
Workshops
Personas
User interviews
User journey mapping
Executive presentations
Mockups
Prototypes
Final specs
The team
Service Delivery Manager
Solution Architect
Data Analyst
SME x 4
Year
2022
The Challenge
Hospitals lose millions due to inefficient supply chain decisions.
Decision-making is slow due to manual reporting and data misalignment.
Stakeholders lack clear, actionable insights to drive cost-saving initiatives.
💡 What If:
Hospitals could make informed decisions instantly, without relying on manual reporting or disconnected data sources?
The Approach: A Structured Path to Clarity
To transform complex workflows into seamless, data-driven decision-making, we followed a structured, impact-driven process.
1. Mapping the Chaos
📌 Understanding the Problem: We conducted extensive stakeholder interviews to uncover inefficiencies in supply chain decision-making. The goal was to identify bottlenecks and areas where automation could provide the most impact.
🎯 Key Finding: Reports were scattered across multiple systems, requiring 4+ hours per day to consolidate, leading to delays in decision-making and costly miscalculations.
2. Defining the MVP Scope
📌 Focusing on Impact Over Features: Instead of solving everything at once, we narrowed our scope to the most critical workflows, ensuring rapid deployment and measurable impact.
Key Priorities:
Automated Cost Analysis: Identifying inefficiencies and providing instant financial insights.
Real-Time Dashboards: Presenting supply chain data in an intuitive, actionable format.
Collaborative Decision Workflows: Enabling seamless communication between administrators, doctors, and procurement teams.
👉 Outcome: A lean, high-impact MVP designed for immediate usability and measurable ROI.
3. Building Automated Data-Driven Insights
📌 The Importance of Stakeholder Feedback: Before full-scale implementation, we ran extensive usability tests with hospital administrators and procurement specialists. The goal was to ensure ease of use and adoption
What we learned:
Simplicity matters: Decision-makers need clear, digestible insights, not complex charts.
Customization is key: Different stakeholders require different levels of data granularity.
Trust in automation: Users were skeptical of AI-driven analytics, so we implemented explainable data models to increase confidence.
✨ Outcome: A product that was trusted, easy to use, and instantly valuable.
The Outcome: Real Business Impact
🚀 Transformative Impact in Just 3 Months
✅ 50% Faster Decision-Making: Manual reporting time reduced from 4 hours to 15 minutes.
✅ Millions in Projected Cost Savings: Automated detection of inefficiencies uncovered hidden financial opportunities
✅ Higher Adoption & Usability: 90% of stakeholders preferred the new system over traditional reporting methods.
💡 Key Takeaway:
Key Learnings & What’s Next
📌 Strategic MVP scoping is critical—focus on high-impact features first.
📌 Automation transforms decision-making when applied to the right data.
📌 Cross-functional collaboration ensures usability across different teams.
📢 Scaling Beyond Healthcare
This structured, data-driven approach can be applied across industries—real estate, finance, logistics, and beyond—to optimize workflows, improve insights, and drive better decisions.