What metrics would you use to evaluate Phenom's employee referral portal?

Introduction

Evaluating the success of Phenom's employee referral portal requires a comprehensive approach to product metrics. To address this product success metrics 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 gain a holistic understanding of the portal's performance and impact.

Step 1

Product Context

Phenom's employee referral portal is a digital platform designed to streamline and incentivize the process of current employees referring potential candidates for open positions within the company. This tool is crucial for talent acquisition strategies, as employee referrals often lead to higher quality hires and improved retention rates.

Key stakeholders include:

1. HR and recruitment teams: Seeking to improve hiring efficiency and quality
2. Current employees: Looking for an easy way to refer contacts and potentially earn bonuses
3. Job seekers: Hoping to leverage their network for job opportunities
4. Company leadership: Aiming to reduce hiring costs and improve overall workforce quality

The user flow typically involves:

1. Employees log into the portal and view open positions
2. They submit referrals by providing contact information and potentially a recommendation
3. HR reviews referrals and initiates the hiring process if suitable
4. Employees track the status of their referrals and any resulting rewards

This portal aligns with broader company strategies around talent acquisition, employee engagement, and leveraging internal networks for growth. Compared to competitors, Phenom's portal might offer unique features like gamification elements or integration with external professional networks.

In terms of product lifecycle, employee referral portals are generally in the growth to maturity stage, with ongoing innovation in areas like AI-powered matching and analytics.