Psychometric Trait Values — Portrait Documentation

The values of psychometric traits are weights ranging from -1 to +1 for basic psychometric traits, while the values of aggregated psychometric traits (which are equivalent to ready-made correlation matrices) range from 0 to 1.

These values are returned both directly on the platform and in the output of API calls.

{
  "profile": {
    "behav_decisionmaking": 0.001,
    "behav_impressionmanagement": 0.001,
    "behav_lifesatisfaction": 0.001,
    "behav_spendingattitude": 0.001,
    "net_transitivity": 0.001,
    "pers_adventurous": 0.001,
    "pers_agreeableness": 0.001,
    "pers_altruism": 0.001,
    "pers_anger": 0.001,
    "pers_anxiety": 0.001,
    "pers_art_interests": 0.001,
    "pers_assertiveness": 0.001,
    "pers_caution": 0.001,
    "pers_cheerfulness": 0.001,
    "pers_conscientiousness": 0.001,
    "pers_cooperativity": 0.001,
    "pers_creativity": 0.001,
    "pers_depression": 0.001,
    "pers_discipline": 0.001,
    "pers_efficacy": 0.001,
    "pers_emotion": 0.001,
    "pers_excitability": 0.001,
    "pers_extroversion": 0.001,
    "pers_friendlyness": 0.001,
    "pers_gregariousness": 0.001,
    "pers_immoderability": 0.001,
    "pers_intellectual": 0.001,
    "pers_liberal": 0.001,
    "pers_modesty": 0.001,
    "pers_morality": 0.001,
    "pers_neuroticism": 0.001,
    "pers_openness": 0.001,
    "pers_order": 0.001,
    "pers_proactivity": 0.001,
    "pers_selfcontrol": 0.001,
    "pers_sense_of_duty": 0.001,
    "pers_simpathy": 0.001,
    "pers_trust": 0.001,
    "pers_vulnerability": 0.001,
    "pers_will": 0.001,
    "values_achievement": 0.001,
    "values_benevolence": 0.001,
    "values_conformity": 0.001,
    "values_hedonism": 0.001,
    "values_power": 0.001,
    "values_security": 0.001,
    "values_self-direction": 0.001,
    "values_stimulation": 0.001,
    "values_tradition": 0.001,
    "values_universalism": 0.001
  },
  "aggregated_profile": {
    "Adv-LikesAlternativeCommunication": 0.5,
    "Adv-LikesLogicalCommunication": 0.5,
    "Adv-LikesTraditionalCommunication": 0.5,
    "Adv-LikesUpbeatCommunication": 0.5,
    "Attitude-Attractiveness": 0.5,
    "Attitude-Churn": 0.5,
    "Attitude-Dominance": 0.5,
    "Attitude-LoyalCustomer": 0.5,
    "Attitude-OpenToInnovation": 0.5,
    "Attitude-Passivity": 0.5,
    "Attitude-Prosocial": 0.5,
    "Attitude-Radicalization": 0.5,
    "Attitude-SelfTrascendence": 0.5,
    "Attitude-SensationSeeker": 0.5,
    "Attitude-ShareEmotionalPosts": 0.5,
    "Cognition-HighAttention": 0.5,
    "Cognition-Plasticity": 0.5,
    "Cognition-Stability": 0.5,
    "Credit-RepayDebt": 0.5,
    "Insurance-Coverage": 0.5,
    "Job-CareerSeeking": 0.5,
    "Job-DecisionMaking": 0.5,
    "Job-EffectiveLearnigStyle": 0.5,
    "Job-GroupTaskProficiency": 0.5,
    "Job-IndividualTaskProficiency": 0.5,
    "Job-NotManagingStress": 0.5,
    "Job-RelationalAbility": 0.5,
    "Purchase-Compulsivebuyer": 0.5,
    "Purchase-HighSpending": 0.5,
    "Purchase-Impulsivebuyer": 0.5,
    "PurchaseMotivation-SeekBelonging": 0.5,
    "PurchaseMotivation-SeekSelfEnhance": 0.5,
    "PurchaseMotivation-SeekStatusDisplay": 0.5,
    "Relationship-Anxiety": 0.5,
    "Relationship-Avoidance": 0.5,
    "Relationship-Quality": 0.5,
    "Wellbeing-HealthyStyle": 0.5,
    "Wellbeing-LifeSatisfaction": 0.5
  },
  "traffic_lights": [
    {
      "correlation_matrix_id": "uuid",
      "name": "traffic_lights",
      "switched_on": true
    }
  ],
  "goal_response": "LLM response",
  "remaining_credits": 0
}

Basic traits

In basic traits, you can find the value of each trait by hovering over the question mark icon, as shown in the figure:

Aggregated traits

In aggregated traits, you can find the value of each trait by hovering over the question mark icon, as shown in the figure:

Visual reporting of psychometric trait values

Psychometric traits present in a subject are marked with a green dot, both for basic and aggregated traits, as shown in the figure:

Psychometric traits absent in a subject are marked with a red dot, both for basic and aggregated traits, as shown in the figure:

Neutral psychometric traits in a subject are marked with a grey dot, both for basic and aggregated traits, as shown in the figure:

How to use the psychometric trait values returned by Portrait

To learn how to use the values derived from Portrait's psychometric analysis, check the chapter on correlation matrices, which explains how to use this data on the platform.

If you want to understand how traits can be useful for your business, explore the chapters on basic psychometric traits and aggregated psychometric traits. You will discover the meaning of all the traits detected by Portrait and how they can influence your business.

If instead you want to integrate your systems with psychometric trait values via API calls, check the dedicated API key section for detailed usage instructions.