The first chart keeps all six factor means on the same 1 to 5 scale so the overall profile shape is easy to compare.
Use it to read the broad pattern first, then move into benchmark context, facet snapshots, and the response ledger below.
{{ briefNarrative.primary }}
{{ briefNarrative.secondary }}
{{ benchmarkNarrative.summary }}
{{ benchmarkNarrative.note }}
Reference note: {{ benchmarkSupportText }}
| Factor | Your mean | Reference mean | Delta | Relative band |
|---|---|---|---|---|
|
{{ row.label }}
{{ row.factorHint }}
|
{{ formatScore(row.score) }} | {{ row.referenceDisplay }} | {{ row.deltaDisplay }} | {{ row.relativeBand }} |
| Facet | Score | Items | Read |
|---|---|---|---|
|
{{ row.label }}
{{ row.factorLabel }}
|
{{ formatScore(row.score) }} | {{ row.itemCount }} | {{ row.reading }} |
| Higher-scored signal | Lower-scored anchor |
|---|---|
|
{{ row.higher.id }}. {{ row.higher.text }}
{{ row.higher.factorLabel }} · {{ row.higher.facetLabel }} · scored {{ row.higher.scored }}/5
—
|
{{ row.lower.id }}. {{ row.lower.text }}
{{ row.lower.factorLabel }} · {{ row.lower.facetLabel }} · scored {{ row.lower.scored }}/5
—
|
| # | Statement | Response | Scored | Factor | Facet |
|---|---|---|---|---|---|
| {{ row.id }} | {{ row.text }} |
{{ row.answer }}
Reverse-keyed item
|
{{ row.scored }}/5 | {{ row.factorLabel }} | {{ row.facetLabel }} |
{{ formattedJson }}
Personality scales try to capture stable patterns in how people relate, plan, react, and make decisions. That matters because the same broad tendencies that make someone steady, curious, cautious, or direct can shape everyday choices at work, in relationships, and under pressure.
This HEXACO-60 tool turns sixty self-ratings into a six-domain profile covering Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness to Experience. When the questionnaire is complete, the app shows a radar chart, per-trait mean scores, a written interpretation, and exportable answer records so the pattern is easier to review than a loose impression.
That makes the tool useful when someone wants a structured read on their general style before a coaching session, a journaling review, a career conversation, or a period of deliberate habit change. It is also useful for repeated self-checks when the practical question is not "Which trait is best?" but "Which tendencies keep showing up, and which ones shift with context?"
A realistic example is someone moving into a leadership role who wants to know whether their natural strengths lean more toward planning, patience, sociability, caution, or curiosity. Another is a student or professional trying to understand why one environment feels energizing while another feels draining even when skill level is not the issue.
The result is a broad personality snapshot, not a diagnosis, a hiring decision, or a verdict on character. Higher scores are not automatically better, lower scores are not automatically problems, and the shorter 60-item format is best read at the six-domain level rather than as a deep map of every fine-grained facet.
The strongest way to use this tool is to answer for how you usually act across familiar situations, not for your ideal self and not only for the most recent difficult day. If one unusual week is dominating your answers, the profile may still be interesting, but it will describe that moment more than your typical style.
Start by reading the overall shape of the profile. The most useful first questions are which trait sits highest, which sits lowest, and whether the spread between them is narrow or wide. In this app, that same idea appears in the written summary as Top, Lowest, Balanced or Spiky, and Spread.
After that, look at the narrative aids the package adds on top of the six means. The result panel highlights package-specific summaries such as Interpersonal integrity, Self-regulation, Social energy vs sensitivity, and Curiosity, then generates next-step suggestions from your highest and lowest domains. Those extras are useful prompts for reflection, but they are still this app's interpretation layer rather than official HEXACO outputs.
The tool is strongest when it is used to compare tendencies inside one person. It is weaker if you treat a single label such as higher or lower as proof of how you rank against other people, because the app does not show percentile norms or a reference sample. A person with mostly middle scores and one clear peak may learn more from the relative pattern than from the absolute numbers alone.
Privacy is solid for local scoring but not absolute if you share links without checking them. The package has no tool-specific backend and keeps calculations in the browser, yet it also stores the answer pattern in the URL parameter r, so a copied bookmark or message link can recreate the responses.
The HEXACO model organizes personality into six broad factors: Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness to Experience. Official HEXACO materials describe the 60-item form as a brief inventory for estimating those broad dimensions, with ten items contributing to each domain.
This package follows that broad-domain structure closely. Each answer is stored as an integer from 1 to 5, twenty-nine reverse-keyed items are recoded as 6 - response, and each domain score is calculated as the mean of its ten recoded items. Results therefore stay on a 1.00 to 5.00 scale, which is why the radar chart and the trait badges are easiest to read as relative heights rather than as pass-fail outcomes.
The package then adds its own interpretation layer. It labels trait means as lower, moderate, or higher using fixed cut points, identifies the highest and lowest domains, computes a profile spread and overall average, and derives combination summaries such as Interpersonal integrity from Honesty-Humility plus Agreeableness. None of those package summaries are official HEXACO scoring categories; they are editorial aids for making the six scores easier to discuss.
One implementation detail deserves extra care: the follow-up report beneath the main analysis lists higher-scored and lower-scored item statements using the raw 1 to 5 endorsements, not the reverse-keyed domain contributions. That means a strongly endorsed reverse-worded item can appear in the higher-scored item list even though it lowers the relevant trait mean. The domain means themselves remain the main scoring output.
The core domain calculation in this package can be summarized with one recoding step and one mean per trait:
| Domain | What higher scores usually suggest | What lower scores usually suggest | Items in app |
|---|---|---|---|
| Honesty-Humility | More sincerity, fairness, and modesty | More status-seeking or strategic self-interest | 10 |
| Emotionality | More sensitivity, worry, attachment, and caution | More calmness, toughness, or low sentimental pull | 10 |
| Extraversion | More social confidence, energy, and positive affect | More reserve and preference for lower-stimulation settings | 10 |
| Agreeableness | More patience, gentleness, and forgiveness | More bluntness, irritability, or readiness to challenge | 10 |
| Conscientiousness | More organization, diligence, and planning | More spontaneity, flexibility, or disorder tolerance | 10 |
| Openness to Experience | More curiosity, imagination, and attraction to ideas or aesthetics | More preference for the practical, familiar, and conventional | 10 |
| Output | Range | How this app labels it | Implementation note |
|---|---|---|---|
| Trait mean | 1.00-5.00 | lower, moderate, or higher |
lower at 2.20 or below, higher at 3.80 or above |
| Top and lowest trait | n/a | Shown in summary chips and highlights | Based on sorted domain means rounded to two decimals |
| Profile spread | 0.00-4.00 | Balanced or Spiky |
Balanced when spread is 0.60 or less |
| Interpersonal integrity | 1.00-5.00 | Supplementary summary metric | Average of Honesty-Humility and Agreeableness |
| Social energy vs sensitivity | -4.00 to 4.00 | Supplementary difference score | Extraversion mean minus Emotionality mean |
The app intentionally stops at broad domains. It does not compute percentiles, facet-level profiles, or normative comparisons, even though broader HEXACO research sometimes reports those in longer workflows. For this package, the most defensible interpretation is still the six mean scores and how they relate to one another.
Use this flow when you want a complete profile that is easy to review later.
Begin Assessment after reading the opening note. The tool is meant for honest, usual-pattern answers rather than idealized ones.Strongly Disagree to Strongly Agree. The question list on the side lets you jump back to any item without losing your place.x/60 answered label until every item is complete. The final profile does not appear until all sixty responses are present.Copy CSV, Download CSV, or Export DOCX only if you are comfortable keeping a shareable copy. The same caution applies to copied links because the URL parameter r can rebuild the answers.The profile works best when the six means are read as a pattern instead of a scoreboard. One high trait can be a strength in one setting and a friction point in another, depending on role, culture, and current demands.
If you repeat the assessment, keep the frame steady. Comparing one run taken during a calm month with another taken in the middle of conflict or exhaustion can make personality look more volatile than it really is. The most meaningful changes are the ones that still show up when circumstances are similar.
Suppose someone finishes with Conscientiousness at 4.30, Extraversion at 2.10, and the remaining traits near the middle. The radar chart will show one clear peak and one dip, the written summary will likely call the profile Spiky, and the practical reading is not "good planner, bad people skills." It is closer to "organized and persistent, with better fit for focused or smaller-group settings than for constant social stimulation."
If Agreeableness and Emotionality both land high, the package may describe a person who is forgiving, relationship-aware, and quick to notice risk or distress. In everyday life that can be a strength in caregiving, mediation, or client work, but it can also mean conflict feels heavy and recovery from stressful encounters takes longer.
Imagine a user strongly agrees with the statement about being bored by an art gallery. That answer may appear in the item-level follow-up list because the raw endorsement is high, but the item is reverse-keyed in the domain score. In the actual trait calculation it pulls Openness downward, which is why the trait means matter more than the raw item-focus table when the two seem to disagree.
No. The domains describe style, not moral worth. Higher Conscientiousness may help with planning, but lower Conscientiousness can come with flexibility. Higher Emotionality may support caution and empathy, while lower Emotionality may help someone stay calm in emergencies.
No. This package shows raw domain means on a 1 to 5 scale and adds package-defined labels such as lower, moderate, and higher. It does not attach a norm group or tell you what percentage of people score above or below you.
Because that follow-up list is built from raw endorsements, while the domain means reverse-score certain items before averaging them. Reverse-worded items can therefore look "high" as raw statements while still reducing the domain they belong to.
The tool bundle has no tool-specific backend for scoring, so the calculations stay in the browser. However, the response pattern is written into the URL parameter r, which means the link itself can carry the answers if you copy or share it.