How Ro ensures a patient-centric user experience with Sisu
Company Size
1,000+
Region
- America
Country
- United States
Product
- Sisu
Tech Stack
- Decision Intelligence Engine
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Quality Assurance
Services
- Data Science Services
- System Integration
About The Customer
Ro is a direct-to-patient healthcare company dedicated to building a patient-centric healthcare system. The company offers a personalized healthcare experience, from diagnosis to medication delivery and ongoing care. With over 6 million digital visits and 46 million patient touchpoints, Ro aims to deliver high-quality healthcare in minutes. The company has expanded its services to include men's and women's health, smoking cessation, online pharmaceuticals, weight management, and on-demand in-home healthcare. Ro's mission is to provide the highest possible value to patients by understanding what works and what doesn't in real-time.
The Challenge
Ro, a direct-to-patient healthcare company, faced the challenge of managing a complex and rapidly expanding data pipeline. With the exponential rise in demand for telemedicine, Ro expanded its treatment areas significantly. This growth required the data team to monitor and analyze various factors driving the patient journey. The team needed to quickly understand changes in data trends and determine the critical drivers behind these changes. The challenge was to find a Decision Intelligence Engine that could keep pace with the business's rapid growth and provide actionable insights in real-time.
The Solution
Ro's data team decided to use Sisu, a Decision Intelligence Engine, to address their challenges. They first conducted a deep dive using Sisu to understand where Ro could best support patients along their treatment journey. Sisu's speed and ability to separate signal from noise impressed the team, allowing them to quickly identify critical factors driving patient behavior. By using Sisu, the data team could uncover actionable insights and improve the patient experience more efficiently. Sisu enabled the team to monitor weekly business KPIs, conduct ad-hoc investigations, and perform deep-dive analyses across multiple care verticals. This allowed Ro to scale informative metrics and keep business units up to date, even as they expanded into new treatment and retail areas.
Operational Impact
Quantitative Benefit
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