A study with 65,000 participants to explore two key behavioral drives: Results and Relationship.
About the study:
Our comprehensive sample of 65,000 participants has been categorized into 10 distinct behavioral styles. Each unique style reflects a specific pattern of communication, decision-making, and interpersonal interactions. Within the DNA Behavior framework, the 10 styles are:
- Adapter
- Community Builder
- Engager
- Facilitator
- Influencer
- Initiator
- Reflective Thinker
- Relationship Builder
- Strategist
- Stylish Thinker
Key Research Findings:
- Balanced Styles: Adapters and Facilitators exhibit the most balanced behavioral traits.
- Polarized Styles: Community Builders and Strategists display the most polarized traits.
Understanding Relationship Gaps
When results-oriented traits are high but relationship-oriented traits are low, we observe a "Relationship Gap." This gap suggests difficulty in forming connections with others. For instance, our research in financial services shows that most financial advisors are Strategists or Initiators. Their significant Relationship Gap indicates why wealth management firms must heavily invest in training advisors to enhance their client relationship-building skills, financial advisors naturally struggle in this area.
Understanding Results Gaps
Conversely, when relationship-oriented traits are high but results-oriented traits are low, we observe a "Results Gap." Individuals with this gap may struggle to achieve hard-line results within an organization due to a lack of drive for results. For example, Community Builders, who often fall into this category, excel in roles that involve community engagement, counseling, coaching, social work, human resources, team building, or customer service.
By understanding these behavioral insights, organizations can better align roles with individuals' strengths, leading to more effective teams and improved client relationships.Interactive Graph:
To explore these findings in more detail, we have embedded an interactive graph that allows you to visualize the distribution and impact of Results and Relationship Drives among the 65,000 participants. You can filter the data by demographics, career choices, and other relevant factors to gain a deeper understanding of how these drives manifest in different contexts.