Vaccine Hesitant Persona Mapper

Context & Objectives

A prominent healthcare organization sought to improve vaccine adoption by understanding and addressing the concerns of hesitant individuals, as low vaccination rates create public health challenges:

• Information Overload: Patients struggled to distinguish accurate information from misinformation.
• Trust Deficits: Skepticism toward healthcare authorities hindered outreach efforts.
• Diverse Motivations: Hesitancy stemmed from various personal, cultural, and socio-economic factors
• Communication Gaps: One-size-fits-all messaging failed to resonate with different population segments.

Approach & Solution

Forte Group developed an AI-driven Persona Mapper to segment and understand vaccine-hesitant populations:

• Machine Learning Models: Identified patterns in public discourse and patient data to detect common hesitancy drivers.
• Persona Segmentation: Grouped individuals into personas based on beliefs, motivations, and demographic factors.
• Targeted Messaging: Enabled personalized outreach strategies tailored to specific persona concerns.
• Real-Time Sentiment Tracking: Monitored shifts in public sentiment to adapt communication tactics.
• Adaptive Framework: Continuously refined personas with new data and evolving public attitudes.

Results & Added Value

• Enhanced communication strategies led to more effective outreach.
• Increased vaccination uptake within hesitant groups.
• Improved public trust through empathetic, targeted messaging.
• Reduced public health risks by addressing misinformation and personal concerns.
• Dynamic approach ensured responsiveness to changing public sentiment.