How would you measure the success of Internet Brands's WebMD Symptom Checker tool?

Introduction

Measuring the success of WebMD's Symptom Checker tool requires a comprehensive approach that considers multiple stakeholders and metrics. This product success metrics analysis will follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

WebMD's Symptom Checker is a digital health tool that allows users to input their symptoms and receive potential diagnoses and next steps. Key stakeholders include:

1. Users: Seeking quick, reliable health information
2. Healthcare providers: Potential referral source
3. WebMD: Driving engagement and ad revenue
4. Advertisers: Reaching health-conscious audience

User flow:

1. User inputs symptoms and demographic information
2. Tool processes data and generates possible conditions
3. User reviews results and recommended actions

The Symptom Checker fits into WebMD's broader strategy of being a trusted source of health information and driving user engagement. Competitors like Mayo Clinic and Healthline offer similar tools, but WebMD's brand recognition gives it an edge.

Product Lifecycle Stage: Mature - The tool has been around for years but continues to evolve with new features and improved accuracy.

Software-specific context:

• Platform: Web-based with mobile app integration
• Integration points: WebMD's content management system, medical databases
• Deployment model: Continuous updates with periodic major releases