How to interpret personality test results: Scores, types, and examples
Interpreting personality tests reveals key behavioral traits, helping align candidates with roles and improve team dynamics and workplace communication.

To interpret personality test results, start by looking at what each score measures, what the score is being compared against, and how relevant that trait is to the role.
A personality test score is not a grade. A high score is not automatically better, and a low score is not automatically a weakness. Most personality assessments measure traits on a scale, so the useful question is not "did this candidate score high?" But "What does this result tell us about how this person may approach the work?"
For recruiters and hiring managers, personality test results are most useful when they are combined with other evidence. SHRM research found that only 23% of employers use self-report tests such as personality assessments in hiring, compared with 77% that rely on interviews, highlighting that personality assessments are generally one part of a broader evaluation process.
TL;DR
- Personality test scores are not grades. A high score is not automatically better than a low score.
- Check the scoring system first. Percentiles, raw scores, and standard scores mean different things.
- Find the comparison group. A score only becomes meaningful when you know who the candidate is being compared with.
- Look at the trait in context. The same personality trait can be useful in one role and less relevant in another.
- Do not overinterpret small score differences. A few points may not represent a meaningful behavioral difference.
- Use results alongside other assessments. Structured interviews and work samples can provide evidence that a personality questionnaire cannot.
- Treat the report as evidence, not a verdict. The final hiring decision should consider the full candidate profile.

What do personality test results actually mean?
Personality test results describe patterns in how a person typically thinks, behaves, interacts with others, or approaches different situations. They do not measure whether someone is "good" or "bad" at a job.
For example, a personality assessment might show that a candidate scores relatively high on conscientiousness. That can suggest a tendency toward organization, planning, and follow-through. It does not prove that the candidate will always be organized or that they will perform well in every role.
The meaning of a result depends on three things:
- What the test measures: different assessments measure different traits or behavioral dimensions.
- How the result is scored: a percentile, raw score, and standardized score cannot be interpreted in the same way.
- What the role requires: a trait only becomes relevant when you connect it to actual job requirements.
This is why personality results should be interpreted at the trait level rather than reduced to a single label.
For example, saying "this candidate is an introvert" tells a hiring manager very little. Saying "this candidate scored toward the lower end of the extraversion scale" is more precise. The second statement describes a test result without turning it into a fixed judgment about the person.
How to read personality test results?
Before interpreting a personality test report, identify what each number, label, or graph actually represents. A report might show a percentile, a standardized score, a trait level, or a personality type. These are not interchangeable.
Use this five-step process:
1. Identify the traits being measured
Start with the traits or dimensions in the report. Depending on the assessment, these could include conscientiousness, extraversion, agreeableness, openness, emotional stability, or other behavioral dimensions.
Do not assume that every trait matters equally for every role.
2. Check how each score is calculated
Look for the scoring method in the report or technical documentation. A score of 80 could mean very different things depending on whether it represents a percentile, a percentage, a standardized score, or a raw score.
Never interpret the number before identifying the scale.
3. Check the comparison group
If the report uses percentile scores or another norm-referenced system, find out who the candidate is being compared with.
For example, a candidate could be above average compared with a general working population but closer to average compared with a group of experienced sales professionals.
The candidate's answers have not changed. The reference group has.
4. Connect the result to the job
Ask what the trait means for the actual work.
If a role requires consistent follow-through, a conscientiousness result may be relevant. If the role involves frequent customer interaction, interpersonal or communication-related traits may deserve more attention.
The job requirements should determine which results matter, not the other way around.
5. Turn uncertain results into interview questions
A personality result is often more useful as a prompt for further investigation than as a conclusion.
For example, instead of saying:
"This candidate has low emotional stability."
Ask:
"Tell me about a time you had to stay effective while dealing with a difficult customer or a high-pressure deadline."
The interview gives the candidate an opportunity to provide behavioral evidence that supports, challenges, or adds context to the assessment result.
How do you interpret personality test scores?
The first step in personality test interpretation is identifying the type of score shown in the report.
Three common formats are percentiles, standardized scores, and raw scores. Each tells you something different.
Percentile scores
A percentile tells you how a candidate's result compares with a reference group.
For example, an 80th percentile result means the candidate scored higher than approximately 80% of people in the comparison group on that particular trait.
It does not mean the candidate got 80% of the questions correct.
Percentiles also should not be treated as evenly spaced measures of personality. The difference between the 50th and 60th percentile does not necessarily represent the same underlying difference as the difference between the 90th and 100th percentile.
Standardized scores
Some personality assessments convert raw responses into standardized scores. One example is a sten score, which uses a 1-to-10 scale.
In a typical sten system, scores around 5 and 6 are close to the average, while scores toward 1 or 10 are further from the average.
Always check the assessment's scoring guide before interpreting a standardized score because the meaning of a scale depends on how the test was designed.
Raw scores
A raw score is the number or total produced directly from a candidate's responses before standardization or comparison with a reference group.
A raw score usually has little meaning on its own.
For example, knowing that someone scored 34 out of 50 does not tell you whether that result is high, low, or typical unless you know what the 50 questions measured and how other respondents scored.
Score type | What it tells you | What to check |
|---|---|---|
Percentile | How the result compares with a reference group | Who is in the reference group |
Standardized score | Where the result falls on the test's scoring scale | How the scale is defined |
Raw score | The candidate's direct score before standardization | How the score is converted or interpreted |
Trait/type label | A summary of the candidate's pattern | The underlying scores behind the label |
The key rule: never interpret a personality score without first checking the assessment's scoring system and documentation.
What is a norm group in personality testing?
A norm group is the group of people whose results are used as a reference when interpreting a candidate's score. This matters because the same set of answers can produce different relative scores depending on the reference group.
For example, imagine a candidate's answers place them at the 75th percentile for assertiveness against a general working population. If the same answers are compared with a group of experienced sales managers, where assertiveness may be more common, the candidate's percentile could be lower.
The candidate has not changed. The comparison has.
When interpreting personality assessment results for hiring, check:
- Who is in the norm group?
- How large is the group?
- Is it relevant to the population being assessed?
- Are all candidates being compared against the same reference group?
- Does the assessment documentation explain how the norms were developed?
For a hiring process, consistency matters. If two candidates take the same assessment but their results are interpreted using different reference groups, their scores should not be treated as directly comparable.
If an assessment does not clearly explain its scoring and reference group, ask the test provider for its technical documentation before using the results in a high-stakes decision.
Personality types vs. personality traits
Personality assessments generally present results in one of two ways:
- Traits: a candidate is placed somewhere along a continuum, such as lower to higher extraversion.
- Types: a candidate is assigned to a category or profile based on a pattern of responses.
Trait-based results usually provide more detail because they show where someone falls on a scale. A type label compresses several results into a category.
For example, a report might describe someone as a particular personality type. That label can be useful as a summary, but it should not replace the underlying scores.
The same principle applies to inclination results. Saying someone is "inclined toward planning" describes a tendency. It does not mean the person will plan effectively in every situation.
How should recruiters use personality types?
Use the type or profile as a starting point for understanding the candidate, then look at the underlying traits and job requirements.
Avoid statements such as:
"This personality type is not suitable for sales."
Instead, ask which behaviors the sales role actually requires and whether the assessment provides relevant evidence about those behaviors.
A personality label should describe a pattern, not become a shortcut for a hiring decision.
Personality test results example
Imagine a company is hiring a customer support manager.
The candidate's personality assessment shows:
Trait | Result | What it may indicate |
|---|---|---|
Conscientiousness | High | A stronger preference for organization, planning, and follow-through |
Extraversion | Low | A lower preference for frequent social stimulation |
Agreeableness | Average | A relatively balanced tendency toward cooperation and interpersonal accommodation |
Emotional stability | Average | No particularly high or low result on this dimension |
A poor interpretation would be:
"The candidate has low extraversion, so they may not be good with customers."
That conclusion goes beyond what the score tells you.
A better interpretation is:
"The candidate scored toward the lower end of extraversion. Let's use the interview to understand how they handle frequent customer interaction, difficult conversations, and team communication."
The assessment creates a question. The candidate's experience and interview responses provide additional evidence.
What this example tells recruiters
A personality test result should answer "what should we explore?", not automatically answer "should we hire this person?"
That distinction is particularly important when two candidates have similar overall qualifications but show different personality profiles. The goal is not to find a universally "good" personality. It is to understand whether the candidate's behavioral tendencies are relevant to the demands of the specific role.
Can personality test results be linked to business outcomes?
They can be studied alongside business outcomes, but recruiters should be careful about treating a personality score as a direct explanation for a KPI.
A sales employee's personality score, for example, is only one factor among many that can influence revenue. Territory, pricing, manager support, product quality, experience, training, and market conditions can all affect the outcome.
A more practical approach is to track whether the traits your assessment measures are associated with relevant job behaviors over time.
For example:
Personality result → observed behavior → job outcome
A conscientiousness result might be compared with measures such as deadline adherence or task completion. A customer-facing role might compare relevant interpersonal traits with structured manager ratings or customer-service outcomes.
This gives the hiring team a way to evaluate whether the traits being measured are actually useful for the roles where the assessment is used.
What does a personality test results example look like?
Take an illustrative case. A 90-person software company is hiring a customer support lead, and a shortlisted candidate comes back with a report showing high conscientiousness, low extraversion, and mid-range emotional stability, all against a general working-population group.
The lazy read: low extraversion, support is a people-facing job, pass. That reasoning fails on two counts. Extraversion measures where someone draws energy and how much social stimulation they seek, not whether they can hold a difficult conversation with an angry customer. Plenty of quieter people are excellent at exactly that, because the job rewards patience and follow-through more than it rewards talkativeness.
A better read works through four steps:
- Name the group. General working population, not support professionals. If the comparison were support leads specifically, the extraversion result might sit closer to average.
- Tie each trait to the actual work. High conscientiousness matters here, because a support lead owns queue discipline and follow-up. Extraversion matters less than the job title suggests.
- Turn the uncertain part into a question, not a conclusion. Mid-range emotional stability against a role with escalations is worth exploring. It is not a finding.
- Write the interview probe. Ask for a specific escalation they handled, what they did first, and what they would change. Score the answer against a rubric everyone uses.
Where the role also demands reasoning under time pressure, pair the report with cognitive ability testing rather than inferring it from a trait score. The candidate might still be wrong for the role. But that decision now rests on a structured interview answer, with the report doing what it is good for: telling you where to dig.
Hire on evidence
Pick the traits that matter for the role, fix the weights and the norm group before the scores arrive, and keep the final call with the hiring team.
If you want that structure built in rather than maintained in a spreadsheet, Testlify runs psychometric tests alongside skills, cognitive, and coding assessments, with report types covering DISC, 16 personality traits, Enneagram, cultural fit, and conflict management.
Where integrity matters, 20 or more proctoring measures and a library of 150 interview templates sit behind the same assessment. Book a demo to see how a scored shortlist reads before the first interview.
Frequently asked questions (FAQs)

Head of Assessments
Usha brings a rare depth of expertise to Testlify’s assessment function, over 40 years of multidisciplinary experience spanning banking, insurance, healthcare, automotive, IT services, manufacturing, pharmaceuticals, and enterprise software. At Testlify, she ensures that every assessment, scoring methodology, and competency structure meets the highest standards of enterprise-grade transparency, fairness, and consistency, the kind that holds up under audit and earns the trust of the world’s most rigorous hiring teams.
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