Eight terms introduced during the Feb 4 session — some standard in the field, some original framings from Wayne Rainey's body of work.
Some of these you've heard. Some were reframed for this session. A few are original to how Wayne Rainey teaches this material. Each definition is written to stand on its own — you shouldn't have to know the other terms to understand one of them.
A type of search that infers meaning from patterns across many signals rather than matching exact words. Instead of asking "did this candidate type the keyword 'project manager'?", semantic search asks "does the pattern of this person's career look like what project managers usually look like?" It treats your profile as a document to be read, not a string to be matched.
The older logic that most ATS platforms and Boolean search tools were built on. Rules-based and keyword-driven: it scans for specific words and titles, filters out candidates who don't match, and ranks the rest based on density and proximity. It rewards completeness and repetition. It doesn't understand what you do — it just knows which words you used.
LinkedIn's architectural shift toward reading candidates holistically — across the whole profile and related activity, not just in individual fields. Less a single feature than an underlying change in how the platform evaluates who you are. The name comes from LinkedIn's own terminology.
In the framing Wayne Rainey introduced, discoverability is whether a semantic system can understand you well enough to include you in a relevant candidate pool. It's not the same as visibility. Visibility is whether you can be seen; discoverability is whether you can be understood. A profile can be fully visible and still not discoverable for the roles the person actually wants.
A term Wayne Rainey uses to describe whether a semantic system is confident enough about where you belong to place you near the top of a ranked pool. You can be discoverable — included in the pool — and still not rankable, because the system isn't sure which category you most clearly belong to. The gap between the two is where strong candidates get missed.
The step where a semantic system decides what kind of professional you are — which neighborhood of the job market your profile belongs to. Distinct from discovery (finding you) and ranking (sorting you). Categorization is what determines whether a search for "HRBP" even considers you in the first place, which is why confidence in it matters so much.
A metaphor Wayne Rainey and Tammy Rainey used live in the Feb session to illustrate how semantic systems evaluate careers. Individual roles, skills, and experiences are the cards. The career story those cards tell together is the hand. The system doesn't rank cards — it ranks the hand. Strong hands with illegible patterns get missed; average hands with clear patterns get placed.
Wayne Rainey's framing for what the work actually looks like when a candidate decides to make themselves more semantically legible. You're not rewriting who you are. You're choosing which three cards from your existing hand to lead with, and which two to quietly set down for this particular audience. Tuning is low-cost and reversible. Reinvention is expensive and usually unnecessary.
A term Wayne Rainey uses for the jobs people take during an unemployment stretch or a family constraint that don't fit the career story they want to be read as playing. Contract gigs, interim work, roles outside the industry. They're rational, necessary, and human. The issue isn't whether they should exist on your profile — it's how you frame their relationship to the larger arc. Unexplained, they add noise. Explained, they often add resilience.
Wayne Rainey's closing concept for the session. The property of being readable — quickly, confidently, and consistently — by both human and machine audiences. Legibility is not about being louder or being everywhere. It's about making the shape of your professional identity clear enough that a reader (or a ranker) doesn't have to guess. Legibility is what lets a strong hand actually get placed where it belongs.