What guardrail metrics should LinkedIn track for Creator Mode

Problem Statement Description

Product context: LinkedIn is Microsoft's professional network; its products include profiles, feed, jobs, recruiting, LinkedIn Learning, sales tools, messaging, and ads.

LinkedIn Creator Mode gives members a way to present themselves as creators by emphasizing content, topics, and follower growth on their professional profile. For students, this can be a powerful way to build credibility, share projects or career interests, and become discoverable to recruiters, peers, mentors, and professional communities.

At the same time, Creator Mode may change incentives on the platform. Students may optimize for visibility over professionalism, post lower-quality content, receive unwanted attention, or distort the core LinkedIn experience around trusted identity, relevant networking, learning, and hiring outcomes. LinkedIn needs guardrail metrics that detect whether Creator Mode is creating unintended harm while the product grows.

You are asked to define the guardrail metrics LinkedIn should track for Creator Mode, with particular attention to the student segment. Focus on what should be measured, how each metric should be defined, what population and denominator should be used, and how the metrics would help product teams make decisions.

The metrics approach should consider:

- The primary user cohorts: student creators, student viewers, recruiters, professionals, and education-related communities

- Clear metric definitions, including numerator, denominator, time window, and triggering events

- Instrumentation needed across profile views, follows, connection requests, posts, impressions, reactions, comments, messages, and reports

- Cohort cuts such as new versus experienced creators, active versus inactive students, geography, school type, and career stage

- Guardrails around content quality, professional trust, spam, harassment, unwanted outreach, and misleading identity signals

- Impact on LinkedIn’s broader ecosystem, including feed relevance, network quality, recruiter experience, and member retention

- Thresholds or decision usefulness: when a movement in a guardrail should trigger investigation, rollout limits, or product changes

The goal is to show how you would protect LinkedIn’s trusted professional network while enabling students to benefit from Creator Mode. Your answer should prioritize measurable, actionable guardrails rather than a generic list of engagement metrics.