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Three Years of Watching Versus One Hour of Evidence

Comparing an internal candidate you have watched for three years with an external who did one scored exercise starts with the two records, not with how strictly each is judged. Give the internal the identical exercise, on the same clock, marked by somebody who does not manage them. Then spend the tenure on what no exercise reaches: how the person behaved when a project went wrong. Write down which evidence decided it, because the internal candidate who loses is still on your payroll on Monday.

The takeThe fairness instinct here points at the wrong object. Equal strictness feels like the repair, and it leaves two records of different kinds sitting side by side exactly as they were. A quieter failure is the overcorrection: a round that fears looking soft on the person it already knows quietly demands more of them, and nobody writes that down. Three years buys testimony about how somebody behaves under pressure. It does not buy a score, and spending it as one is what makes the decision impossible to defend six months later.

Where Olive fits

Open a role and see what the work shows

The six dimensions Olive reads describe the same acts on both sides of this comparison: framing a problem before anything gets generated, demanding a source for the claim that matters, keeping the judgment that should not be delegated, and testing an answer against something outside the conversation. Olive reads those from one session rather than from a manager's memory, and grants the candidate the same report the employer receives.

Assess your shortlist

Why doesn't holding both to the same bar fix this?

Because the standard was never the lopsided part. Open the two files and the bar is identical while the contents are not: one holds three years of reviews written by the person about to make the call, the other holds a single scored session marked against a scale. Judging both strictly leaves the mismatch underneath untouched.

The two files also describe different jobs.

Three years of watching an analyst covers the job that analyst held, and that job may well not have included this competency until recently. If it did not, what you saw was somebody working the old way, well. The session, whatever its faults, is at least aimed at the work the opening is for.

In 1943 Theodore Sarbin reported what happened when counselors' judgment was added to two mechanical predictors of college success. High school rank plus a college aptitude test correlated .45 with academic achievement. The same two predictors plus the counselors' intuitive judgment correlated .35 1.

Sarbin studied University of Minnesota undergraduates admitted in 1939, so this is an admissions result and not a hiring one.

Scott Highhouse, a psychologist at Bowling Green State University who reproduces both figures in his 2008 review of why employers keep trusting intuition in selection, also states that the evidence does not support stable differences between good and bad interviewers 1.

What carries over is narrower than either finding: a judgment layered on top of evidence is not free. It can subtract.

So the repair runs the other way. Rather than equalizing how hard the two are judged, equalize what you are holding, then spend the tenure on the questions a session cannot ask.

Run the same exercise, and let someone else score it

Give the internal candidate the identical session: same task, same clock, same scale, same instructions about what the assistant is allowed to do. The US Office of Personnel Management's practical guide defines a structured interview by three properties, and all three transfer to an exercise.

Every candidate gets the same questions in the same order, everyone is rated on a common scale, and the raters agree in advance what an acceptable answer looks like 2.

Then hand the marking to somebody who does not manage them.

A first impression carries into the same rater's structured score, even one formed in a few minutes of small talk. Murray Barrick, Brian Swider and Greg Stewart put 189 accounting students through structured mock interviews and found that the interviewer's impression from the rapport-building small talk, formed before any structured question, correlated .42 with that same interviewer's structured rating 3.

When a different interviewer supplied the structured score, the correlation fell to .25. Much of the .42 was one person's impression predicting their own later rating. Three years of working alongside somebody is not a scaled-up version of three minutes of small talk, and this study does not measure the larger case.

But the protection the smaller one points at costs nothing.

Vary the data and never the task or the bar, which is the same rule that decides whether every candidate has to get the same exercise. Here it earns its keep twice over: internal candidates talk to the team that wrote the case, so the version they sit should carry a different dataset inside the same structure.

Check first whether they have already seen it. A team that validated the exercise by having the current team take it first handed a preview to precisely the people most likely to apply. Write a second case rather than discounting the score afterwards, which is a correction nobody can size.

The shortcut everyone reaches for is the tool logs. Seat usage data measures adoption, not the person's skill, and it answers a question you did not ask: heavy use of an approved assistant can mean delegating the judgment that should have been kept.

What are the three years actually evidence of?

Conduct, under conditions no assessment reproduces. A session shows how somebody works for an hour when the stakes are an offer and the case was written to be fair to everyone. Three years shows what they did the week a project slipped, whether they escalated before or after the slip became visible, and what they said about a deadline they were going to miss.

Those are the questions an exercise cannot ask, which makes them the ones the tenure should be spent on. Write them as episodes with dates.

A hypothetical entry, to show the form: in March the forecast went out with a figure nobody had traced, and the analyst caught it on the read-back and said so in the channel where the team could see it. An episode with a date is evidence.

An adjective is not an episode.

Hold the external candidate to the same form, and the comparison finally becomes one. References supply episodes too, and the useful ones name what the person did rather than what the referee thought of them.

Two records of behaviour, unequal in length and equal in kind, can be read side by side. A rating and a score cannot.

None of this replaces the prior question of whether an internal candidate can really move into an AI-heavy role, which gets answered on that person's own merits before any head-to-head opens. Familiarity does not make a candidate viable who was not.

Which record is weaker than it looks?

Both are, and the external candidate's paper record is the weaker one. The line everyone reads as their advantage, years of relevant experience, is the single piece of evidence on the table with a measured near-zero relationship to later performance. What is strong in that file is the session, not the background sitting behind it.

Chad Van Iddekinge and three co-authors pooled 81 independent samples and found prehire work experience correlated .06 with later job performance, across the 44 samples and 11,785 people that measured it 4. Experience specifically with relevant tasks, jobs or occupations did no better, at roughly .07.

The .06 has a boundary, and it cuts toward the internal candidate. What the meta-analysis pooled is prehire experience, the amount, duration or type of experience acquired before somebody enters the organization, which is what a resume screen reads 4. It measured nothing about years spent inside the job the internal candidate already holds, so nothing in the .06 says the three years are worthless.

In 2011 Matthew Bidwell, a management professor at the Wharton School, published personnel records from the US investment banking arm of one financial services company, covering 2003 to 2009. Workers promoted into a job performed better than workers hired into similar jobs for their first two years, and left less often, both voluntarily and involuntarily 5.

The external hires were paid around 18 percent more, and arrived with more education and more experience 5. Stronger on paper, weaker in the seat, for two years.

The complication sits inside that same finding, and it runs the other way from the obvious guess. Performance at Bidwell's firm is rated inside the firm, by the kind of manager whose familiarity with a promoted worker is the problem this page opened on. Bidwell names that worry and tests it. The promoted worker's advantage was slightly larger among traders and salespeople, not smaller as a subjective rating bias would predict, and his reading is that supervisory bias may actually narrow the difference between promoted workers and external hires 5.

The limit that does bite is a different one. This is one investment bank between 2003 and 2009, and the paper's discussion says the performance gap should be smaller where a job demands less firm-specific knowledge 5.

Anyone who already prefers the internal candidate can quote the two years. Nobody can quote a rating bias that produced them.

Write down which evidence decided it

Set the combination rule before either record is in front of you, then record what actually moved the call. Name the four or five things the role needs, say which piece of evidence covers each one, and say in advance what happens when the two candidates split across them. A rule invented after the debrief is a preference wearing a rule's vocabulary.

Nathan Kuncel and colleagues meta-analysed selection and admissions studies and found that applicant data combined by an explicit formula correlated .44 with job performance, against .28 when the same kinds of data were combined by expert judgment 6. A mechanical method here can be as plain as adding up a written scorecard, and the paper says so.

The job-performance comparison rests on nine studies, which is thin, and none of it licenses a number standing for a person.

The classification underneath is the more useful part. That same paper counts a group consensus meeting as a holistic method, because what makes a method holistic is combining evidence by judgment rather than by a rule applied the same way every time 6.

A debrief that ends in a shared feeling is the thing being warned about. The debrief is not.

So write the note the way you would want it read back to you. Write what you heard, never why you think it happened carries more weight here than in an ordinary round, because the losing candidate is at their desk on Monday and their manager was in the room.

By the end the two files should look alike. Each holds one scored session on the same case, a short list of dated episodes, and one line naming which of them decided the call.

The internal file is still three years thicker. Only a page or two of that decided anything, and those pages are now the part somebody else can read.

See the benchmarks

Common questions

Should an internal candidate take the same assessment as external candidates?

Yes, and the reason is not fairness optics. Without the same exercise, the internal and the external are described by records of different kinds, and no combination rule can weigh a rating against a score. Give the internal the identical case on the same clock, with a different dataset if the case has circulated inside the building, and have it marked by someone who does not manage them. The tenure then gets spent on what the session cannot reach: what the person did when a project went wrong, whether they escalated, and what they said about a deadline they were going to miss.

Can a hiring manager score their own direct report?

A hiring manager can score their own direct report, and the score stops being comparable when they do. In one study of 189 students in structured mock interviews, the interviewer's impression formed during small talk, before any structured question, correlated .42 with that same interviewer's structured rating, and .25 when a different interviewer supplied the score. That study did not measure three years of working together, which is a different and larger case. The cheap protection is to route the marking to a rater with no relationship to either candidate, and to let the manager give evidence instead: episodes, with dates.

Is it unfair to make an internal candidate re-prove something you have already watched them do?

The objection mistakes what the exercise is for. Three years covers the job the internal candidate holds, and where that job did not include this competency until recently, what was watched was somebody doing the previous job well. Re-proving is also not the request. The request is a record in the same shape as the other candidate's, so the two can be set side by side and a rule can be applied to both. Say that to the internal candidate in those words before the invitation goes out, and the round reads as a process rather than a demotion.

Can you use an internal applicant's AI tool usage data in the decision?

Usage data measures how often a licence was opened, not what the person did with it. Heavy use can mean delegating judgment that should have been kept; light use can mean an approved tool that does not fit the work. Neither reading survives a question from the candidate about how the number was applied. If the data gets pulled at all, check what employees were told it would be used for, and keep it out of a selection decision it was never collected for.

Does the external candidate's longer resume count for anything?

Less than the file suggests. A meta-analysis pooling 81 independent samples put the correlation between prehire work experience and later job performance at .06, with experience in relevant tasks or occupations no better at roughly .07. The figure covers experience measured at hire, which is what a resume screen reads, so it is not a claim that time inside a job is worthless. Treat the external candidate's years as the reason they cleared the screen and the session as the evidence, and apply the same split to the internal from the other direction.

What do you tell the internal candidate who does not get the job?

Which evidence decided it, in the terms of the role rather than in terms of the person. The specific finding from the session, the specific gap against a named requirement, and what would change the answer next time. The conversation is unavoidable: an internal candidate who loses is at work on Monday, and their manager was in the room. Write the note during the round with that reading in mind, keep it to what was observed, and never record a theory about why somebody performed the way they did.

References

  1. 1. Stubborn Reliance on Intuition and Subjectivity in Employee Selection ✓ Industrial and Organizational Psychology, 1(3), 333-342, Table 1 (Scott Highhouse), 2008. edbatista.com Supports the Sarbin (1943) figures reproduced in Table 1, high school rank plus a college aptitude test at .45 against the same two predictors plus counselors' intuitive judgment at .35 for University of Minnesota undergraduates admitted in 1939, and Highhouse's statement that research on variance in interviewer validity does not support stable differences between interviewers: 'Although it is commonly accepted that some (employment) interviewers are better than others, research on variance in interviewer validity suggests that differences are due entirely to sampling error.' Read live from this URL; the surrounding text states that 'academic achievement was better predicted by the standardized scores alone than by the scores plus clinical judgment.'
  2. 2. Structured Interviews: A Practical Guide ✓ U.S. Office of Personnel Management, 2008. opm.gov Supports the three defining properties used here to specify an identical session, verbatim from the guide's Structured vs. Unstructured Interviews table on page 3: 'All candidates are asked the same questions in the same order.' / 'All candidates are evaluated using a common rating scale.' / 'Interviewers are in agreement on acceptable answers.' Dated September 2008. WebFetch times out on opm.gov; the 28-page PDF was retrieved from this exact URL (HTTP 200) and read locally.
  3. 3. Initial Evaluations in the Interview: Relationships with Subsequent Interviewer Evaluations and Employment Offers ✓ Journal of Applied Psychology, 95(6), 1163-1172 (Murray R. Barrick, Brian W. Swider and Greg L. Stewart), 2010. homepages.se.edu Supports the claim that the rapport-building impression leaks into a structured score: 189 accounting students in structured mock interviews, .42 between the pre-question impression and that same interviewer's structured rating, falling to .25 when a different interviewer supplied the structured score. Verbatim: 'the correlation between the rating of competence during the initial impression and structured interview score was .42, 95% CI [.23, .58], when the same interviewer rated both constructs... However, when different interviewers provided the structured interview score (Interviewers 1 and 3)... the correlation was smaller yet still significant, r = .25 and .24, respectively.' The 189 is two samples of undergraduates in a professional accountancy programme (N = 76 and N = 113); the rapport-building stage ran two to three minutes.
  4. 4. A meta-analysis of the criterion-related validity of prehire work experience ✓ Personnel Psychology, 72(4), 571-598 (Van Iddekinge, Arnold, Frieder and Roth); record and abstract at the University of North Florida Digital Commons, 2019. digitalcommons.unf.edu Supports the .06 corrected correlation between prehire work experience and job performance across 81 independent samples (k = 44, n = 11,785), the roughly .07 for relevant task, job or occupational experience, and the abstract's own definition of prehire experience as the amount, duration or type of experience workers acquired before they enter a new organization, which is the boundary the article states. This record carries the abstract, not the full text; the Wiley full text returns 403 to an unauthenticated reader, so no claim here rests on anything past the abstract.
  5. 5. Paying More to Get Less: The Effects of External Hiring Versus Internal Mobility ✓ Matthew Bidwell, University of Pennsylvania; Administrative Science Quarterly, 56(3), 369-407; author copy at faculty.wharton.upenn.edu, 2011. faculty.wharton.upenn.edu Primary source opened and read in full for this article. Supports the two-year performance advantage for promoted workers, the lower exit rates and the pay gap, from the abstract: 'I find that workers promoted into jobs have significantly better performance than workers hired into similar jobs for the first two years, and lower rates of voluntary and involuntary exit. Nonetheless, the external hires are initially paid around 18 per cent more than the promoted workers and have higher levels of experience and education.' Setting is personnel data from the US investment banking arm of one financial services company, 2003 to 2009. Performance is three of the firm's own annual review measures (contribution, competence and a forced performance rank), and the paper's limitations section tests the supervisory-bias objection rather than leaving it open: 'Supplementary analyses showed that performance differences between workers entering jobs through promotions and external hires were slightly greater for traders and salespeople, not weaker as we would expect if differences were driven by subjective biases. These results suggest that supervisory biases may actually minimize differences between internal movers and external hires.' The discussion's generalisation boundary is separate: 'Performance differences between hires and promoted workers should be lower in settings with fewer demands for firm-specific skills.' Published record confirmed via Crossref as Administrative Science Quarterly 56(3), 369-407, doi 10.1177/0001839211433562.
  6. 6. Mechanical Versus Clinical Data Combination in Selection and Admissions Decisions: A Meta-Analysis ✓ Journal of Applied Psychology (American Psychological Association), 98(6), 1060-1072, doi 10.1037/a0034156; full-text copy opened at gwern.net, 2013. gwern.net Supports the .44 mechanical against .28 clinical average correlation with job performance, the nine-study basis for that comparison, the authors' point that a mechanical method can be a unit-weighted scorecard, and the classification of group consensus meetings as a holistic combination method. Verbatim: 'For job performance, the average correlation was .44 for mechanical and .28 for clinical'; Table 2's job performance row reads k = 9 (5 rs, 4 Rs), Nmech 1,392, Nclin 1,156; 'Examples range from aggregating scores using simple unit weights, to estimating optimal weights, to using more complex empirically derived decision trees'; 'Holistic methods... include both individual judgments of data and group consensus meetings. The defining characteristic of the holistic methods is that data are combined using judgment, insight, or intuition, rather than an algorithm or formula that is applied the same way for each decision.'

6 sources, numbered by first appearance. Every one was opened and checked against the claim it carries. How Olive sources claims

General guidance for hiring teams. What works at one company and one volume may not transfer to yours.

Olive assesses how a person works with AI. It does not detect AI-written documents, and it never produces a score, a ranking, or a match percentage for a person. Candidates read the same report the employer reads.

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