I jumped straight to job seeker metrics, apply rates and profile views, and kind of forgot that LinkedIn's Jobs feature serves multiple sides.
Start by clarifying the goal of LinkedIn's Job feature and the company's business model, then define success from multiple perspectives: job seekers, employers, and LinkedIn itself. Propose a hierarchy of metrics (e.g., North Star, primary, secondary, guardrail) and explain how you would measure and monitor them, considering both short-term and long-term impact.
Pro tip: Tie your metrics to LinkedIn's overall business objectives (e.g., revenue, user growth, engagement) and mention the importance of balancing user value with monetization to avoid harming the ecosystem.
Ask clarifying questions to understand the feature's purpose, target users (job seekers, employers, recruiters), and LinkedIn's business goals (e.g., revenue, engagement, user growth).
Outline what success means for each stakeholder: for job seekers, successful job placement; for employers, quality hires; for LinkedIn, increased revenue and engagement.
Select a single metric that best captures the core value of the feature, such as 'number of successful job applications resulting in hires' or 'job seeker engagement leading to interviews'.
List primary and secondary metrics that support the North Star, such as application rate, job posting views, time to hire, and user retention. Include guardrail metrics to monitor unintended consequences.
Describe how you would track these metrics over time, set targets, run experiments (A/B tests), and use insights to iterate on the feature.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.