When I was in HR at a large services firm, every time a senior position opened up the same process unfolded. The HRBP responsible for that business unit would make several calls, pull a performance review file, look at the succession plan if one existed for that role, and then talk to a few managers who were known to have good visibility into their teams. The search would take two to three weeks. At the end of it, we would have a shortlist of three to five candidates. The people on that list were almost invariably well-known to the HR team already, or known to one of the managers we had consulted.
This process worked in the sense that positions got filled. It did not work in the sense that it consistently surfaced the best available internal candidates. It surfaced the most visible internal candidates, which is a different thing. At a company of 8,000 people, a two-week search through an HR network and a manager consultation chain could not realistically sample more than a few dozen people. The visible candidates were visible because they were well-connected, well-regarded by their managers, or both. The invisible candidates, some of whom may have been better matched to the role, did not enter the process.
This is not a story unique to that firm. It describes the internal talent discovery process at most large organizations with a reasonable degree of accuracy. The methods vary in their specifics, but the structural dynamics are consistent.
The four methods HR teams actually use
There are four methods HR teams rely on in practice for internal talent discovery, and each has a characteristic failure mode.
The first is the succession plan. Most large organizations have succession plans for at least a subset of senior and critical roles. The plan nominates one or more internal candidates who have been assessed as ready or nearly ready to take a role. Succession plans work when the role being filled is one that was planned for, when the designated successors are still in the organization and still interested in the role, and when the timing aligns with what the plan anticipated. When any of those conditions fail, which happens more often than succession planners acknowledge, the plan becomes a list of names from a previous cycle that no longer reflects the current state of the talent pool.
The second method is manager referral. The HR team asks the relevant business leaders who they think might be a strong candidate. This produces recommendations filtered through the referring manager's network and perspective. Managers refer people they know well, people who have worked directly for them or adjacent to them, and people whose performance they have observed. They tend not to refer people in other parts of the organization they have limited contact with, even if those people would be strong candidates. The referral quality depends heavily on how well-connected the managers being consulted are.
The third method is the HRIS search. An HR team member queries the system for people with a specific job title, level, or department combination. This is efficient but limited by the precision of job title as an expertise indicator, which we have written about elsewhere. An HRIS query returns everyone who holds a specific title; it does not distinguish between people who have developed deep expertise in the area the role requires and people who hold the same title for different historical reasons.
The fourth method is the informal recommendation network. Someone on the HR team or in the business knows someone who would be a strong candidate and suggests them. This is the most idiosyncratic of the four methods. It can surface genuinely excellent candidates who would not be found by any of the other methods. It is also the most arbitrary, because it depends entirely on which specific individuals happen to be in the network of whoever makes the recommendation.
The visibility bias problem
All four methods share a structural bias: they favor candidates with organizational visibility. Succession plans nominate people who were visible during the assessment process. Manager referrals nominate people visible to those specific managers. HRIS searches return candidates visible through their formal title categories. Informal recommendations surface people visible in someone's personal network.
Organizational visibility correlates with several things that are not the same as expertise or fit for a specific role. It correlates with extroversion and networking activity. It correlates with seniority in certain functions that have historically been well-represented in senior discussions. It correlates with tenure with specific well-connected managers. And in organizations where demographic factors affect networking access, which includes most large organizations, visibility also correlates with demographic characteristics.
The consequence is that internal talent discovery at scale tends to over-sample people who are already visible and under-sample people who do their best work in specialist roles with limited organizational breadth. This is a particularly acute problem for technical specialist positions, where the people with the deepest expertise may have developed it through sustained deep work rather than through the broad collaboration patterns that generate organizational visibility.
What happens to missed candidates
When a high-quality internal candidate is not surfaced during an internal search, two things typically happen. If the hiring timeline allows, an external search is opened, and the organization spends several months and significant resources recruiting someone from outside for a role that an existing employee was better qualified for. If the hiring timeline does not allow for an extended search, the role is filled with a sub-optimal internal candidate.
The missed internal candidate rarely learns that they were a candidate the organization should have considered. In the absence of feedback, they draw their own conclusions: that the organization does not see them, that advancement requires a different kind of relationship-building than the work they are doing, or that their best path forward is elsewhere. In some cases, they leave. The organization then faces the external recruiting cost anyway, plus the knowledge loss cost of the departure.
We are not claiming this dynamic plays out every time. In many searches, the visible candidates are also the best-matched candidates, and the process works. The point is that the process has a structural blind spot that is not random. The people most likely to be missed are a predictable type: deep specialists with limited cross-functional networks, people earlier in their tenure at the organization, and people who are strong performers in their current domain but have not yet had visibility opportunities.
The knowledge map as a complement, not a replacement
The approach we have been developing is not intended to replace manager judgment or succession planning. Both of those have real value that cannot be easily replicated by any system. The manager who recommends a candidate knows things about that person's work style, interpersonal approach, and development trajectory that no data system captures accurately.
What a knowledge map provides is a way to expand the candidate pool before the manager consultation begins. If an HR team or a business leader can see, before any informal outreach, which internal employees have demonstrated relevant expertise in the areas the role requires, the subsequent manager consultations are more productive. They can confirm and add context to candidates who already have an evidence basis rather than generating the candidate list from scratch through network-dependent informal process.
In early-access engagements, HR teams that combined a knowledge-map-generated long list with their normal manager consultation process found that the two sources together produced a meaningfully different set of candidates than either source alone. The knowledge map surfaced specialists who were not well-known to the HR network. The manager consultations added context about the individuals on the list that the data alone could not provide. Neither was sufficient without the other. Together, they were more reliable than the standard process on its own.
A word on what this does not fix
Better expertise data does not eliminate the organizational dynamics that create visibility bias in the first place. It does not fix the performance evaluation processes that reward visibility. It does not change the networking patterns that determine whose names come to mind in informal conversations. What it does is create a second channel for surfacing candidates that is less dependent on those dynamics. For the HR teams and businesses that rely on internal mobility to fill critical roles, that second channel is worth building.
