Talent market intelligence: how to read a talent market

Every useful market view answers the same three questions, in roughly this order.

A search brief that asks for 'VPs of Supply Chain with 10+ years of experience' might technically match thousands of people on a broad search. But most of them aren't comparable to what the client actually needs once you account for industry, company size and specific scope of responsibility.

Market intelligence narrows raw supply down to realistic supply — the people who are both qualified and plausible, given the specifics of the role and the type of company offering it.

Concentration tells you whether a function's talent is spread thin across many companies or clustered at a handful of well-known employers. A tightly concentrated market usually means more competition for the same small pool of people, and a harder, longer search.

Knowing concentration in advance lets you set realistic client expectations before a search starts, rather than discovering after six weeks that the five best candidates all work at the same two companies and have all already been approached by someone else.

Structure is the layer most manual research skips, because it requires comparing many profiles at once rather than looking at people one at a time. It tells you how a function is laid out: how many VPs sit above how many directors, whether a company centralizes a function or splits it regionally, and where the realistic next step up or down is for any given person.

Say you need market intelligence on VP-level supply chain leadership in mid-sized manufacturing. Start with one leader who clearly fits the brief — a current VP of Supply Chain at a comparable manufacturer.

Mapping the comparable talent around that one person at the same firm shows you the real depth of the bench there in minutes: how many directors sit below the VP, whether there's a second VP in an adjacent function, and how long people in that group tend to stay before moving. Repeat the same anchor-based approach across two or three comparable companies and you have a genuine market view, not a guess.

A handful of simple metrics, tracked consistently, turn a one-off map into something you can compare over time or across searches.

Market reads go wrong in predictable ways, usually from treating a single data point as the whole picture.

A market view is most persuasive when it's a document, not a verbal summary. Turn the map into a short report: a one-page summary grid showing name, firm, title and a one-line note on each person, followed by a full profile page per person for anyone the client wants more detail on.

This format lets a hiring manager skim the summary in two minutes and still have the detail available if a specific name catches their attention.

PeerSearch.ai is built to produce exactly this kind of market read starting from a single anchor. Paste one leader's profile link and the platform surfaces their employer, title and photo first, then streams up to 200 comparable profiles in real time, grouped by function and ordered by seniority, each with a short bio.

An executive summary with clickable phrases helps you spot patterns in concentration and structure immediately, and plain-language prompts let you narrow to the segment of the market that matters for your brief. History lets you prompt across several past market reads at once, which is useful when comparing multiple anchor companies, and Projects keep the whole market view organized in one place.

When it's time to share the read, export the exact report format described above — a summary grid on page one, one profile per page after that — to PDF, or export the full data set to Excel with clickable profile URLs. Every login includes 5 free searches with every feature, including export, and you can try one free search without logging in at peersearch.ai/try.