The VAKIETA™ Framework

A context-aware, data-informed model for communication intelligence. VAKIETA maps three concurrent dimensions in any interaction (written or spoken): Perception (VAK), Processing (IE), and Pursuit (TA). It is designed for people — and for AI systems that need to talk to people better.

This page explains the model at a conceptual level. Scoring, weighting, and signature encoding (VSIG) remain proprietary.

1. Abstract

The VAKIETA Framework (Visual, Auditory, Kinesthetic, Internal, External, Toward, Away) focuses on observable communication behaviour rather than static personality traits. It explains how people express and interpret meaning, work ideas through, and decide to act. By identifying patterns in perception, processing, and motivation, VAKIETA helps humans and AI systems adapt communication for clarity and impact.

VAKIETA is not a personality profiling system. It is a communication model — practical, situational, and adaptable.

2. Background and Rationale

Traditional profiling asks who a person is. VAKIETA asks how they communicate right now. In digital, async, and AI-mediated contexts, outcomes hinge on adaptive messaging — saying the right thing, the right way, for the right person.

VAKIETA provides a behavioural lens that is simple, teachable, and immediately useful across coaching, sales, leadership, education, product, and human–machine interaction. The three-cluster structure also makes it suitable for API-based personalisation where only a compact signature (e.g. a VSIG code) can be exchanged.

3. Theoretical Basis

This section shows the 3×7 model. The framework below is public; the operational maths and confidence models are kept private.

a) Sensory Processing (V A K)

CodeChannelDescription
V Visual Prefers information that can be seen, mapped, or demonstrated; responds to imagery, diagrams, and spatial language.
A Auditory Processes through sound, rhythm, and dialogue; prefers conversation, verbal structure, and narrative.
K Kinesthetic Connects through feeling, movement, or experience; prefers hands-on, tactile, or story-grounded examples.

b) Processing Style (I E)

CodeModeDescription
I Internal Processes privately through inner dialogue; reflective and measured; prefers time to think before responding. Often seen as “quiet but considered.” Not introversion — a communication workflow.
E External Processes through expression; speaks to clarify; uses interaction to organise thinking. Often seen as “let’s talk it through.” Not extroversion — a communication workflow.

c) Motivational Orientation (T A)

CodeDriveDescription
T Toward Moves toward opportunities, rewards, and goals; responds to aspirational and future-focused framing.
A Away Moves away from risk, loss, and hassle; responds to preventive, protective, or risk-reduction framing.

4. Model Architecture

VAKIETA treats these three dimensions as concurrent — communication rarely happens in just one channel. A person can be primarily visual, externally processing, and currently motivated away-from-risk, all in the same conversation.

DimensionQuestion it answersFocus
Perception (V A K) How does this person take in information? Sensory preference and descriptive language.
Processing (I E) How do they work ideas through? Cognitive dialogue — internal reflection or external expression.
Pursuit (T A) What moves them to act? Directional motivation — toward gain or away from risk.

Combinations form a communication signature. No pattern is “better” — each becomes optimal in different contexts (sales vs coaching vs automation).

Note: in production use, signatures are encoded (for example as VSIG-XXXXXX) to allow safe sharing and API-based personalisation without revealing raw dimension scores.

5. Practical Applications

Sales and Marketing

Align sensory and motivational language for higher response. Visual Toward: “Here’s what it will look like when it’s done.” Kinesthetic Away: “Let’s avoid future rework and frustration.”

Coaching and Leadership

Match your coaching style to their processing mode. Internal: ask a question and give space. External: schedule a short dialogue to “think together.”

Writing and Branding

Create adaptive variants of messaging that resonate with different audience signatures — without diluting your core message.

AI and Automation

Detect and adapt to user styles in real time. Feed the VAKIETA signature into your assistant or workflow so the reply is framed in the way the user naturally understands.

6. Validation and Future Work

The framework aligns with strands of cognitive linguistics, representational system theory, and approach–avoidance motivation. Ongoing work will focus on quantitative validation using linguistic datasets to evaluate pattern consistency, cross-linguistic accuracy, and predictive reliability in communication outcomes.

Planned studies include reliability testing (eg. internal consistency), survey vs language-sample correlation, and task-based validation (does adapted messaging perform better?).

* Developers and platform builders can explore upcoming integration options to embed VAKIETA insights into software and AI tools.

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References

  1. Barsalou, L. W. (2008). Grounded Cognition. Annual Review of Psychology, 59, 617--645. PubMed | PDF
  2. Paivio, A. (1986). Mental Representations: A Dual Coding Approach. Oxford University Press. Overview: InstructionalDesign.org.
  3. Lakoff, G., & Johnson, M. (1980). Metaphors We Live By. University of Chicago Press. Publisher | PDF excerpt
  4. Alderson-Day, B., & Fernyhough, C. (2015). Inner speech: Development, cognitive functions, phenomenology, and neurobiology. Psychological Bulletin, 141(5), 931--965. Overview | PDF
  5. Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological Review, 84, 231--259. Repository.
  6. Ericsson, K. A., & Simon, H. A. (1993). Protocol Analysis: Verbal Reports as Data (Rev. ed.). MIT Press. summary.
  7. Higgins, E. T. (1998). Promotion and prevention: Regulatory focus as a motivational principle. Advances in Experimental Social Psychology, 30, 1--46. ScienceDirect | PDF.
  8. Elliot, A. J., & Thrash, T. M. (2002). Approach-avoidance motivation in personality. Psychological Bulletin, 128(5), 774--794. PubMed.
  9. Elliot, A. J. (2006). The Hierarchical Model of Approach-Avoidance Motivation. In Handbook of Approach and Avoidance Motivation. Chapter PDF.

VAKIETA is a practitioner framework aligned with the bodies of research cited above. It is not presented as a clinical instrument.