Adjacent-industry talent: when leadership experience transfers

Industry experience is frequently used as a shorthand for a cluster of things that actually matter: understanding the buyer, navigating a regulatory environment, operating at a particular margin structure, or managing a specific kind of supply chain. The shorthand is convenient, but it conflates the proxy with the thing itself. Two companies in the 'same industry' as officially classified can have wildly different buyers, margin structures, and operating complexity, while two companies in nominally different industries can share nearly identical operating challenges.

This matters because defaulting to same-industry requirements as a hard filter, without examining what the industry label is actually standing in for, tends to shrink an addressable population unnecessarily while providing a weaker performance signal than assumed.

Genuine adjacency can be evaluated across four dimensions. Buyer similarity asks whether the end customer and sales motion are comparable — selling to hospital procurement committees and selling to enterprise IT both involve long, multi-stakeholder cycles even though the industries differ. Operating model similarity asks whether the underlying business runs on comparable margins, unit economics, and operational cadence. Regulatory similarity asks whether the compliance and risk environment imposes comparable discipline, since someone from a heavily regulated industry often transfers well into another regulated one even across different domains. Talent-pool overlap asks whether people actually do move between the two industries in practice, which is observable in the market and a strong signal when it exists.

A role that scores well on two or more of these dimensions is a reasonable candidate for an adjacency-based search expansion. A role that scores well on none of them, despite industries sounding similar, should keep its vertical requirement intact.

Consider a fintech company searching for a CFO and struggling to find candidates with direct fintech experience at the right scale. Applying the four-part test to healthtech as an adjacent sector: buyer similarity is moderate, since both sectors sell into regulated institutional buyers with long procurement cycles. Operating model similarity is reasonably strong, since both often combine subscription or transaction-based revenue with significant compliance overhead. Regulatory similarity is strong, since both operate under meaningful oversight requiring a CFO comfortable with audit rigor and regulator relationships. Talent-pool overlap is moderate but observable, with a track record of finance leaders moving between the two sectors, particularly around payments-adjacent healthtech businesses.

Given three of four dimensions scoring moderate-to-strong, healthtech is a reasonable adjacency to include. The company revises its brief to accept CFOs from 'regulated, transaction-or-subscription-based businesses with institutional buyers,' rather than requiring fintech specifically, and the realistic candidate population expands meaningfully as a result.

To make the trade-off concrete, it helps to estimate how much the addressable population grows when one well-justified adjacency is added to a brief, compared to holding a strict same-industry requirement.

The figures in this chart are invented to illustrate the shape of the effect, not a measured result. Starting from a hypothetical baseline of 18 CFOs with strict fintech experience, adding the healthtech adjacency — justified by the four-part test above — more than doubles the estimated population to 41, because the underlying skills the role requires (regulated environment fluency, transaction or subscription revenue models, institutional buyers) exist meaningfully in that sector. Adding a second justified adjacency, insurtech, lifts the estimate further to 57, though at a smaller incremental rate, reflecting that the first adjacency captured much of the readily available overlap.

This diminishing-returns pattern is common: the first well-chosen adjacency typically produces the largest population gain, and each additional adjacency after that adds value but with smaller increments, while also adding more variety in ramp-up risk that needs to be assessed candidate by candidate.

Widening a search to include an adjacent industry changes who is eligible for consideration, but it does not remove the need to assess each candidate's actual transferability. Interview and reference processes for cross-industry candidates should explicitly probe the dimensions used to justify the adjacency — asking a healthtech CFO candidate directly about their experience with institutional procurement cycles and regulatory audit processes, rather than assuming the adjacency label guarantees fit.

It is useful to build this probing directly into interview guides for adjacency-sourced candidates, since interviewers accustomed to evaluating same-industry candidates may otherwise default to industry-specific questions that an adjacent-industry candidate cannot answer, unfairly penalizing a genuinely strong fit.

The most common pitfall is declaring an adjacency without actually testing it against the four dimensions, simply because two industries feel similar in casual conversation. A second pitfall is widening the industry filter but failing to update the interview process accordingly, resulting in cross-industry candidates being screened out for the wrong reasons. A third is over-widening, stacking multiple loosely justified adjacencies until the population technically grows but includes many people with limited genuine transferability, creating false confidence in the search's depth.

A fourth, more subtle pitfall is using adjacency as a justification after a search has already stalled, rather than considering it from the outset. Evaluating adjacency early, as part of initial brief calibration, produces better outcomes than treating it as a last resort.

PeerSearch.ai can support an initial working set: start with an executive’s LinkedIn URL, then use prompts to filter and reorder the profiles returned. Projects can organize selected profiles and History preserves past searches. A search is capped at 200 profiles, including the starting executive, so a result set is not a complete market census. Export access depends on the plan; scope, availability and suitability still require independent review.

Whether done manually or with tool support, the discipline that makes adjacency work is the same: define what the industry label is actually standing in for, test candidate adjacencies against that definition rather than surface similarity, and adjust the interview process to verify transferability explicitly rather than assuming it.