
Relationship Intelligence
A Public Research Brief on Understanding Human Connection
Understanding human connection through interpretable intelligence.
GravityPullIndex Research
Personal and Relationship Intelligence is the category we're exploring — how people understand themselves, how they connect with others, and how those dynamics evolve over time. GravityPullIndex explores how evidence, behaviour, interaction and time can contribute to a clearer understanding of people and the relationships they form.
Human understanding has traditionally focused heavily on the individual.
Personality asks who someone is. Dating asks who someone might meet. Compatibility asks how well two people might match. Advice asks what someone should do.
Personal Intelligence
Understanding the individual — identity, behavioural patterns, tendencies, personal development and self-understanding.
Relationship Intelligence
Understanding what emerges between people — interaction, attraction, communication, conflict, attachment, alignment and recurring relational patterns.
Personal intelligence provides the view of the individual. Relationship intelligence adds the dynamics that emerge between people.
What dynamics are operating between people — and how are those dynamics evolving?
Many existing systems are strong at describing individual characteristics but provide less insight into the dynamic system that emerges between people.
What dynamics are operating between us, and how are they evolving?
Pull Index — the multidimensional conceptual framework representing the forces, patterns and dynamics being understood.
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Pull Score — a concise, normalized expression designed to make that broader intelligence understandable and communicable.
Many dimensions
Integrated understanding
↓Pull Score
Product evidence
A Pull Score, as it appears in My Pull Score.
A concise expression of a broader intelligence — not a number without context.

My Pull Score — result
People change. Relationships change. New experiences change what we know.
A useful intelligence system should therefore not treat an initial understanding as a permanent label. New evidence can deepen, refine or challenge what was understood before.
A meaningful intelligence system should not simply produce an answer. It should make the reasoning behind that understanding increasingly visible, while remaining honest about uncertainty.
A conceptual public-facing model
Person A influences Person B. Person B responds. That response changes Person A. The interaction repeats. Over time, a recurring pattern can emerge.
Illustrative pattern
A seeks reassurance. B experiences pressure. B withdraws. A seeks more reassurance.
An illustrative interaction pattern — not a diagnostic conclusion about a real person.
Interpretation should remain proportional to the evidence available.
People deserve understandable reasoning rather than unexplained conclusions.
Intelligence should support human judgment, not replace it.
Personal information should be handled with care and restraint.
Research questions should not be presented as established scientific conclusions before appropriate validation.
More consequential applications require stronger validation, governance and safeguards.
The purpose of research is not to confirm what we already believe. It is to determine what survives careful examination.
Does the system consistently represent the constructs it intends to represent?
Do the underlying dimensions behave coherently across different populations and contexts?
Does combining multiple perspectives produce a more useful understanding than relying on a single perspective?
Does stated confidence appropriately correspond to the strength of available evidence?
Does understanding become more useful as relevant evidence accumulates over time?
Does the resulting intelligence help people understand themselves and their relationships more effectively?
Can the claims and usefulness of the system withstand evaluation beyond its creators?
Research questions — not validated conclusions.
A public exploration of the ideas behind Relationship Intelligence, the Pull Index and the development philosophy of GravityPullIndex.
My Pull Score — Public Research Brief No. 01
Understanding human connection through interpretable intelligence.
A conceptual public brief. Does not disclose internal architecture, scoring formulas or proprietary implementation.
Publications

A Public Research Brief on Understanding Human Connection
Understanding human connection through interpretable intelligence.
Future public briefs will appear here.
Long-term research may explore how relationship intelligence concepts could contribute to understanding the systems people form together.
Long-term research direction
Organizational and enterprise applications are a long-term research direction — not a currently available product. No customers, deployments or case studies are implied.
Understanding the individual.
Understanding interaction.
Understanding patterns across groups.
Applying responsible intelligence within complex human systems.
GravityPullIndex exists to explore that problem carefully — with curiosity, evidence, technology and a commitment to understanding the difference between what we know, what we believe and what remains to be discovered.