what metrics would you use to evaluate onfido's facial recognition technology?

Introduction

Evaluating Onfido's facial recognition technology requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us assess the technology's performance, user experience, and business impact.

Step 1

Product Context

Onfido's facial recognition technology is a critical component of their identity verification platform. It uses artificial intelligence to compare a user's selfie with their official ID document, ensuring the person presenting the ID is its rightful owner. This technology is crucial for businesses in sectors like financial services, online gaming, and sharing economy platforms that need to verify user identities remotely.

Key stakeholders include:

1. End-users: Seeking a quick, seamless verification process
2. Business clients: Requiring accurate, fraud-resistant identity verification
3. Onfido: Aiming to provide a reliable, scalable solution
4. Regulators: Ensuring compliance with data protection and anti-fraud regulations

User flow:

1. User uploads a photo of their ID document
2. User takes a selfie or short video
3. Onfido's AI compares the selfie to the ID photo
4. Results are returned to the business client

Onfido's technology fits into the broader strategy of providing robust, AI-powered identity verification solutions. Compared to competitors like Jumio or Veriff, Onfido emphasizes its advanced AI capabilities and global coverage.

Product Lifecycle Stage: Growth - The facial recognition technology is established but continually evolving with AI advancements and expanding use cases.

Software-specific context:

• Platform: Cloud-based, with APIs for integration
• Integration points: Client applications, fraud databases, document verification systems
• Deployment model: SaaS, with on-premise options for some enterprise clients