Personality Science

Understanding DYNAMICS-8

Eight personality dimensions that predict how real people actually behave. Not how they say they behave on a survey. How they spend, vote, scroll, and decide.

8
Personality dimensions
32
Granular facets
20
Countries supported
187
Fields per persona

Traditional personality models were built to measure people, not predict them

The Big Five and HEXACO models are the gold standard in personality psychology. They were designed in the 1990s to categorise people from questionnaire responses. They work brilliantly for that purpose.

But when you need to predict what someone will actually do (buy, click, share, ignore, complain), those models have two blind spots: they cannot predict digital behaviour, and they cannot predict impulsive decisions. Those two gaps cover most of what matters in modern consumer research.

DYNAMICS-8 keeps the six dimensions that three decades of research have validated, and adds two dimensions built specifically to close the gap: Acuity (digital fluency) and Impulsivity (snap decisions and reward sensitivity).

Every decision your customer makes traces back to these eight traits

Each dimension is scored 0.0 to 1.0. Each has four facets for finer granularity. Together, they predict spending habits, brand loyalty, political views, media consumption, and hundreds of other behaviours.

D
Discipline
Organisation, planning, self control
Business impact: High D consumers compare and shop, read reviews, and budget carefully. Low D consumers respond to convenience and "done for you" offers.
Y
Yielding
Persuadability, social compliance
Business impact: High Y consumers respond strongly to endorsements, social proof, and authority claims. Low Y consumers resist influence and need evidence.
N
Novelty
Curiosity, creativity, openness
Business impact: High N consumers are early adopters who try new products first. Low N consumers are loyal to their brands and need proven track records before switching.
A
Acuity
Digital fluency, platform nativeness
Business impact: Predicts how consumers navigate apps, engage with digital campaigns, configure privacy settings, and adopt new platforms. No existing model captures this.
M
Mercuriality
Emotional reactivity, mood volatility
Business impact: High M consumers are risk averse and respond to safety messaging. Low M consumers are steady in their decisions and less affected by emotional framing.
I
Impulsivity
Snap decisions, reward sensitivity
Business impact: Predicts purchase speed, notification response time, doom scrolling, and susceptibility to time limited offers. The highest value predictor for online commerce.
C
Candour
Authenticity, modesty, fairness
Business impact: Low C consumers respond to luxury, status, and aspiration marketing. High C consumers prefer brands that signal authenticity and social responsibility.
S
Sociability
Social energy, gregariousness
Business impact: High S consumers share, review, and amplify. They are your word of mouth engine. Low S consumers are private buyers who respond to individual benefit framing.

What DYNAMICS-8 predicts that older models cannot

PredictionBig Five (1992)HEXACO (2004)DYNAMICS-8 (2026)
Purchase speed (impulse vs. deliberated)PoorPoorDirect (Impulsivity)
Digital campaign engagementPoorPoorDirect (Acuity + Sociability)
Notification response timePartialPartialDirect (Impulsivity + Mercuriality)
Privacy setting behaviourPartialPartialDirect (Acuity + Discipline)
Content creation qualityPoorPoorDirect (Acuity + Novelty)
Brand loyalty vs. switchingPartialPartialDirect (Novelty + Discipline)
Endorsement susceptibilityPartialGoodDirect (Yielding + Candour)
Doom-scrolling / session lengthPoorPoorDirect (Impulsivity + Acuity)

From personality profile to predicted consumer behaviour

01
Define Your Audience
Country, age, region, income, lifestyle. We build a panel that matches your target demographic across 20 countries.
02
DYNAMICS-8 Profiling
Each persona receives a unique 8 dimension personality calibrated to census data.
03
Life Simulation
Personas live simulated lives: news, events, memories. They develop real context.
04
Stimulus Testing
Submit your campaign, product, or message. Every persona responds from their own character.
05
Actionable Results
Response rates, sentiment, and purchase intent segmented by personality type.

See how DYNAMICS-8 drives different responses from different people

SR
Sarah Richardson, 34
Marketing manager, Leeds. Household income: £48,000. Homeowner.
Discipline
0.72
Yielding
0.58
Novelty
0.81
Acuity
0.85
Mercuriality
0.35
Impulsivity
0.42
Candour
0.67
Sociability
0.74

What her profile tells you: Sarah is digitally native (high Acuity), curious about new products (high Novelty), and socially engaged (high Sociability). But she does not buy on impulse (moderate to low Impulsivity) and she values authenticity over status (high Candour). She will see your ad, explore the product, share it with friends, but will not convert until she has read the reviews and compared alternatives. Target her with social proof from peers she trusts, not celebrity endorsements or urgency messaging.

What organisations use DYNAMICS-8 panels for

🎭
Campaign Pretesting
Test creative executions against target personality segments before committing media spend.
"Which headline converts high Impulsivity, low Discipline 25-34 males?"
💰
Pricing Research
Test price points across personality segments to find the optimum per cohort.
"At which price point do high Candour consumers reject the luxury positioning?"
🚀
Product Launch
Simulate launch response across demographics before manufacturing a single unit.
"Which feature set maximises intent for 45-54 homeowners in the South East?"
📊
Brand Tracking
Persistent panels track perception changes over time without panel fatigue.
"How did competitor X's price cut shift consideration among our core segment?"
Policy Simulation
Model public response to policy changes before announcement.
"How will low income, high Mercuriality residents respond to the council tax increase?"
📚
AI Training Data
DYNAMICS tagged reasoning traces for fine tuning personality aware AI models.
"Causally grounded records for instruction tuning and RLHF, available via Panel Studio API."

Built on peer reviewed personality science

Six of the eight DYNAMICS-8 dimensions are direct descendants of factors validated across 50+ cultures and 13+ languages. The two new dimensions draw on established research traditions in digital literacy and behavioural economics.

DYNAMICS-8LineageKey Reference
DisciplineConscientiousness (Big Five, HEXACO)Costa & McCrae, 1992
YieldingAgreeableness (Big Five, HEXACO)Costa & McCrae, 1992
NoveltyOpenness to Experience (Big Five, HEXACO)Goldberg, 1990
AcuityDigital literacy researchHargittai, 2002; van Dijk, 2005
MercurialityNeuroticism / EmotionalityCosta & McCrae, 1992; Lee & Ashton, 2004
ImpulsivityUPPS model, delay discounting, BIS/BASWhiteside & Lynam, 2001; Gray, 1970
CandourHonesty-Humility (HEXACO)Lee & Ashton, 2004
SociabilityExtraversion (Big Five, HEXACO)Costa & McCrae, 1992

UK Patent Application Pending. DYNAMICS-8 specification published under CC BY 4.0.

See your audience before you commit to a position

Request a demonstration and we will run a live panel stimulus against your target demographic, profiled with DYNAMICS-8, using a provided or suggested research question. No commitment required.

Take the Free Quiz Open Playground Interactive Course