Build a trust-focused improvement for Premium used by learning users

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 Premium serves members who are investing in career growth, skill development, job mobility, and professional credibility. For learning-focused users, Premium may include access to learning content, insights, skill-building paths, profile advantages, and career signals that help them decide what to learn and how to present progress professionally.

Design a trust-focused improvement for Premium specifically for these learning users. The problem is not simply to add more courses or more engagement features, but to improve the confidence users have in the learning experience: confidence that the content is credible, the skills are relevant, the progress is meaningful, and any signals shown on LinkedIn are professionally trustworthy.

Consider the end-to-end workflow of a Premium member who identifies a career goal, chooses what to learn, evaluates whether the learning is worth their time, completes or abandons content, and decides whether to use that learning as part of their professional identity. Your design should account for LinkedIn’s broader ecosystem of profiles, jobs, skills, creators, employers, recruiters, and learning content.

The experience should consider:

- How learning users decide which skills, courses, or learning paths are credible and relevant to their career goals

- Where trust breaks down today, such as unclear content quality, inflated credentials, weak skill validation, or uncertainty about employer recognition

- How Premium can use LinkedIn’s professional graph, skill graph, and identity signals without overclaiming user capability

- The needs of different learning users, such as job seekers, career switchers, upskillers, managers, and early-career professionals

- How the experience should fit into existing Premium surfaces, LinkedIn Learning flows, profile updates, job search, and career insights

- What users need to see before, during, and after learning to feel confident that their investment is worthwhile

- Risks around privacy, fairness, credential credibility, spam, gaming, and misleading professional signals

- How success could be evaluated through user trust, learning completion quality, Premium value perception, and downstream career usefulness

The goal is to define a product improvement that makes Premium more trustworthy and valuable for learning-oriented members, while staying aligned with LinkedIn’s role as a professional network and avoiding unsupported claims about skills, employability, or outcomes.