Skills matter, but they’re not the whole job.
If you’ve ever hired someone who looked perfect on paper—qualified, experienced, even impressive in the interview—only to watch performance stall once the job started, you’ve seen the 30/70 reality in action.
At Scheig Solutions, we’ve spent decades studying a simple question: Why do two people with the same credentials produce wildly different outcomes in the same job? Our answer is consistent across industries and job levels: skills matter, but they’re not the whole job. Even in highly technical roles, about 30% of performance is technical tasks. The other 70% is human-factor job behaviors—the non-technical behaviors that shape safety, productivity, teamwork, judgment, and consistency.
That’s not a motivational slogan. It’s a performance model—and it explains why so many hiring decisions feel like a coin flip.
In fact, Scheig notes that interview-based predictions of job success can be “around 50/50.” When hiring relies primarily on resumes, interviews, and “technical checks,” companies often measure only a fraction of what determines success. Worse, even if you had a perfect measure of the technical portion, you still wouldn’t capture the majority of what drives outcomes—which is why, as our materials put it, “there is no way to predict overall job success based on 30% of the job.”
This article explains the how and why behind Scheig’s 30/70 claim—and why behavioral assessment science is the most practical way to close the hiring prediction gap.
Why “technical skill” is necessary—and still not enough
In nearly every job, technical competence is the admission ticket. Licenses, certifications, degrees, training hours, and experience often represent real learning and real capability.
But technical skill is typically the part of the job that is easiest to define, test, and discuss—so organizations over-weight it.
Scheig’s methodology starts from a different assumption: technical tasks are important, but they are rarely what separates the “best” from the “barely acceptable.” The differentiator is the human factor—the behaviors surrounding the skill that determine whether the skill shows up reliably in the real world.
Our “whole job” philosophy is summarized clearly: Scheig assessments measure “the whole job,” not just “the 30% or less which is technical,” and they also measure the human-factor behaviors comprising “up to 70 to 80 percent of the job,” which can significantly affect performance.
That matters because work doesn’t happen in a laboratory. It happens in noisy, unpredictable environments. People get interrupted, stressed, tired, rushed, and distracted. Equipment breaks. Customers escalate. Teams miscommunicate. Conditions change.
A technical skill can be real—and still fail to deliver results—if the human-factor behaviors aren’t there.
What are “human-factor job behaviors,” really?
Human-factor behaviors are not vague “soft skills.” They are the real, observable behaviors that make technical skill useful in practice.
Scheig describes them in everyday terms: communication, problem-solving, teamwork, adaptability —and just as importantly, things like reliability, judgment, follow-through, attention to detail, composure under pressure, willingness, and the behavioral approach a person brings to the work.
This is why our approach is built around a foundational principle: “Productivity is in the detail: the actual job behaviors, not in the trait or construct.”
A personality label might sound meaningful—but it’s not the job. The job is behavior.
And when you build hiring decisions around actual job behaviors, you stop guessing.
The logic behind the 30/70 split
Scheig’s materials state it bluntly: “Even the most technical roles involve only about 30% technical tasks. The remaining 70% is composed of non-technical behaviors…”
The “how” behind that estimate comes from how we analyze jobs.
Step 1: We don’t start with the job description—we start with top performers
A job description tells you what someone is supposed to do. It rarely tells you what distinguishes superior performance.
Scheig’s methodology begins by analyzing “recognized superior performers” in a specific role —because the best performers reveal what the job truly demands when it’s done well.
Step 2: We generate a comprehensive list of the job’s behaviors
That job analysis typically produces 300 to 500 job behaviors that describe the position and its activities. Importantly, those behaviors aren’t limited to skills; they can include “knowledge, a skill, an ability, a willingness, an interest, or a personal characteristic.”
When you map a job at that level of behavioral detail, you see something most hiring processes miss: the technical tasks are present, but they’re only one slice of the behavioral ecosystem required for results.
Step 3: We identify which behaviors carry the most performance value
We don’t assume all behaviors matter equally. Our methodology includes statistical analysis with a panel of subject-matter experts to determine which behaviors have the “highest performance values” and the highest likelihood of identifying outstanding performers.
That analysis is what turns a long behavior list into a Job Success Profile™ benchmark.
When you do this across roles and industries, the pattern repeats: the “human factor” behaviors take up the majority of the performance-driving behaviors that differentiate outcomes.
That’s the 70%.
Why the 70% has such an outsized impact on outcomes
The technical portion of work is often teachable. But human-factor behaviors shape whether technical skill gets applied correctly, consistently, and safely.
Scheig’s illustrates this in a practical way: training can improve measurable skill performance—typing speed from 40 to 60 words per minute, or technical teardown speed for a diesel tech—but dramatic real-world differences in output usually come from the broader behaviors that make up the job, not just skill speed.
And here’s the hard truth from that same material: the human-factor behaviors are “challenging to train for” and “almost impossible to change” without intensive behavioral modification programs that most organizations won’t implement.
So, the stakes are obvious:
- If you hire someone missing key technical skills, you can often train and improve them.
- If you hire someone missing key human-factor behaviors, you may be stuck—because those behaviors are intrinsic to how the person approaches work.
This is why our philosophy is consistent and practical: Hire for behaviors, train for skills .
The hidden cost of hiring only for the “technical 30%”
When companies prioritize credentials and skills alone, three predictable problems show up:
1) Large performance variance among “qualified” hires
You’ve seen it: two people meet the same minimums, but one becomes the go-to performer while the other becomes a constant management burden.
Scheig emphasizes that the non-technical behaviors “significantly impact productivity” and can even influence the performance of the technical part of the job.
2) Over-reliance on the interview (and interview bias)
Scheig asserts that interviews are subjective and can have limited predictive value—often “around 50/50.” Interviews also tend to focus on technical aspects, even though technical tasks account for only about 30% of the job.
In short, companies often make high-stakes decisions using a tool that naturally overweights the part of the job that is easiest to talk about.
3) Training as a “fix” for the wrong hire
Skills training is valuable. But skills training can’t reliably fix a mismatch in behavioral approach. If a person lacks follow-through, composure, teamwork, or safety discipline, skill training can’t guarantee performance outcomes.
This is why Scheig’s behavioral science approach is designed to evaluate whether candidates already possess the underlying behaviors that drive superior performance.
How Scheig “turns the model right-side up”
A common pattern in hiring assessments is to measure a trait or construct (such as introversion/extroversion), then attempt to “generalize” from the label to the behaviors required for the job.
Scheig’s approach rejects that leap. As our materials describe it, competitors often label someone an introvert and then generalize to behaviors, while Scheig focuses on whether the person performs the specific behaviors that superior performers say make a difference in productivity outcomes.
That is why Scheig’s assessments are described as unique: they do not measure “the person in the abstract” or a psychological construct; they measure “the person for the specific position to be filled.”
And that difference matters most when 70% determines outcomes.
A simple way to picture the 70%: the “behavioral scaffolding” around skill
Think of technical skill as the engine. Human-factor behaviors are the scaffolding that keeps the engine producing results.
Examples of human-factor behaviors that often determine whether the “engine” delivers:
- Consistency: Does the person perform the skill the same way under pressure?
- Judgment: Do they know when to slow down, ask questions, or escalate?
- Communication: Do they prevent errors by clarifying expectations and closing loops?
- Teamwork: Do they coordinate to keep systems moving?
- Adaptability: Do they respond effectively to changing conditions?
When organizations hire only for the engine, they gamble on whether the scaffolding is in place.
Why the 30/70 claim matters for leaders—not just HR
The 30/70 model isn’t just a hiring philosophy; it’s a business performance framework.
When you hire people who match the behavioral Job Success Profile™, you build a workforce that exceeds performance expectations because you’re selecting for the behaviors that top performers already demonstrate.
Scheig also connects behavior-based selection to organizational impact—streamlined hiring, cost savings, increased productivity, and stronger workforce quality.
And because the assessments are grounded in job-specific behaviors rather than subjective impressions, they reduce reliance on bias-prone methods and improve defensibility.
That aligns directly with the Scheig brand promise: introducing objectivity and validity into hiring to reduce turnover, decrease hiring expenses, and improve workforce efficiency.
The takeaway: stop hiring for the fraction you can see
The 30/70 idea resonates because it matches lived experience: most performance issues aren’t about whether someone can do a technical task once; they’re about whether the person consistently brings the behaviors that make that technical task effective in the real world.
Scheig’s position is clear and consistent across our internal materials:
- Even highly technical roles contain only about 30% technical tasks
- The remaining 70% is human-factor behaviors that significantly impact outcomes
- Those behaviors are difficult to train and hard to change
- So, the best strategy is to measure the whole job—and hire for behaviors, then train for skills
Or in Scheig’s language: The Right Behaviors, The Right Talent, The Right Jobs.
FAQs
What is the 30/70 reality of job performance?
The 30/70 reality of job performance is the idea that technical skills often represent only part of what determines success at work. In many roles, roughly 30% of performance is tied to technical tasks, while the remaining 70% is driven by human-factor behaviors such as judgment, reliability, communication, teamwork, adaptability, follow-through, and consistency. This explains why two candidates with similar resumes, credentials, or technical abilities can produce very different results once hired.
Why are human-factor behaviors so important in hiring?
Human-factor behaviors are important because they determine how well a person applies their skills in real-world work conditions. A candidate may have the required training or experience, but performance depends on whether they communicate clearly, make sound decisions, stay composed under pressure, work well with others, follow through on responsibilities, and adapt when conditions change. These behaviors often separate top performers from employees who merely meet minimum qualifications.
Why are technical skills alone not enough to predict job success?
Technical skills are necessary, but they do not capture the whole job. Resumes, certifications, degrees, and interviews often focus on whether a candidate can perform certain tasks, but they may miss the behaviors that determine whether the candidate will perform those tasks consistently, safely, and effectively. Hiring only for technical qualifications can leave employers guessing about the majority of the behaviors that drive real job performance.
How can behavioral assessments improve hiring decisions?
Behavioral assessments can improve hiring decisions by measuring the job-specific behaviors linked to superior performance. Instead of relying only on resumes, interviews, or general personality labels, a behavior-based assessment compares candidates against the actual behaviors demonstrated by successful performers in the role. This helps employers make more objective, valid, and job-relevant hiring decisions.
What does “hire for behaviors, train for skills” mean?
“Hire for behaviors, train for skills” means employers should prioritize the underlying behaviors that are difficult to teach or change, such as reliability, judgment, teamwork, follow-through, and adaptability. Technical skills can often be developed through training, but core work behaviors are much harder to change after someone is hired. By selecting candidates who already demonstrate the behaviors required for success, organizations can improve performance, reduce turnover, and build stronger teams.
