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Saturday, March 15, 2025

Some AI Insights Into The HEXAD Person Sorts – Gamified UK


I not too long ago downloaded the newest response stats for the HEXAD 12 Person Sorts check, and fed them into ChatGPT to analyse. I believed it was very attention-grabbing what got here again, and it supported what I had noticed previously – so thought I might share it right here!

1. Gender-Based mostly Tendencies

Females:

  • Predominantly align with Socialiser and Philanthropist varieties, indicating a powerful choice for neighborhood engagement and altruistic behaviors.
  • The dominance of Socialiser decreases barely in older age teams, changed by Philanthropist, reflecting a shift towards purpose-driven motivations.

Males:

  • Are likely to exhibit Achiever and Participant traits, emphasizing goal-oriented behaviors, competitions, and extrinsic rewards.
  • Achiever stays a powerful motivator throughout all age teams for males, with Participant peaking in youthful customers and declining over time.

2. Age Group Dominance

Youthful Customers (18–29):

  • Proceed to point out increased prevalence of Free Spirit traits, reflecting a want for autonomy, exploration, and inventive freedom.
  • Participant traits are additionally barely stronger on this age group, indicating the attraction of rewards and achievements early in life.

Older Customers (30–49):

  • Show extra balanced traits, with notable will increase in Philanthropist motivations, suggesting a shift towards altruism and purpose-driven engagement.
  • Achiever stays outstanding, indicating continued goal-oriented habits.

3. Gender and Age Interplay

Youthful Females (18–20):

  • Exhibit sturdy Socialiser and Philanthropist tendencies, valuing relationships, neighborhood, and goal.
  • Free Spirit can also be important, reflecting creativity and independence.

Older Males (30–49):

  • Show increased inclinations towards Achiever and Free Spirit, specializing in mastery, autonomy, and private progress.

4. Gamers Are Reward-Oriented however Underrepresented

  • Participant stays one of many least dominant traits throughout all teams however is extra pronounced in youthful customers (18–20), aligning with early-stage life targets and aspirations.
  • This means that gamified reward techniques might resonate effectively with youthful customers however require a balanced strategy for older demographics.

5. Philanthropists Improve with Age

  • Philanthropist scores develop progressively increased with age, particularly in females, reflecting a shift towards purpose-driven motivations and significant engagement.
  • Older customers might favor techniques that enable for altruistic contributions or optimistic social impacts.

6. Disruptors Are Uncommon however Not Distinctive

  • Disruptor stays the least widespread trait however represents a distinct group that thrives on innovation and system challenges.
  • Whereas small in proportion, Disruptors might play a essential position in driving change and inventive problem-solving.

7. Balanced Motivations in Older Customers

  • Customers aged 30–49, no matter gender, exhibit extra balanced traits, combining Philanthropist, Achiever, and Free Spirit motivations.
  • This means that holistic engagement methods could also be simpler for middle-aged customers.

8. Gendered Tendencies in Free Spirits

  • Free Spirit stays important in each genders however is extra pronounced in youthful customers:
    • Youthful females (18–29) emphasize autonomy, creativity, and social connections.
    • Youthful males (18–29) stability autonomy with mastery, reflecting a mixture of Free Spirit and Achiever traits.

9. Socialisers Decline With Age

  • Socialiser traits dominate in youthful age teams (18–20), particularly amongst females.
  • As customers age, social motivations decline barely in favor of Philanthropist and Achiever traits.

10. Gender-Particular Gamification Design Implications

For Youthful Females:

  • Emphasize social and collaborative components.
  • Introduce alternatives for inventive autonomy to enhance their Free Spirit tendencies.

For Older Females:

  • Present significant engagement via techniques that allow altruistic contributions or community-building actions.

For Youthful Males:

  • Deal with structured rewards, autonomy, and inventive exploration, whereas guaranteeing clear goal-setting frameworks.

For Older Males:

  • Create mastery-driven challenges with measurable progress.
  • Incorporate autonomy and alternatives for private progress to align with their Achiever and Free Spirit motivations.

Correlations

The heatmap and correlation matrix present insights into the relationships between Hexad consumer varieties:

  1. Destructive Correlations:
    • Socialiser vs. Free Spirit: Reasonable damaging correlation (-0.44), indicating that customers who worth social connections are much less more likely to prioritize autonomy.
    • Socialiser vs. Disruptor: Reasonable damaging correlation (-0.40), suggesting that these with sturdy social motivations are much less inclined to problem techniques.
    • Philanthropist vs. Disruptor: Robust damaging correlation (-0.47), reflecting opposing tendencies between altruism and disruption.
  2. Constructive Correlations:
    • Socialiser vs. Philanthropist: Weak optimistic correlation (+0.20), indicating some overlap between social and altruistic motivations.
    • Different optimistic correlations are weak, indicating distinctiveness between most Hexad varieties.
  3. Low/No Correlation:
    • Free Spirit vs. Disruptor: Very low correlation (-0.02), suggesting that autonomy and system-challenging behaviors are largely unbiased.
    • Achiever vs. Different Sorts: Weak correlations throughout the board, implying that achievement motivation is unbiased of different traits.

Implications:

  • The damaging correlation between Socialiser and Free Spirit suggests a design trade-off when concentrating on these traits concurrently.
  • Philanthropist and Disruptor are polar opposites, requiring distinct engagement methods.
  • Achiever and Participant present low correlation, highlighting that reward-driven behaviors and goal-oriented challenges can coexist with out battle.

Related Posts:



Additionally revealed on Medium.

PDF Tray Some AI Insights into the HEXAD User TypesPDF Tray Some AI Insights into the HEXAD User Types

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