When I built the Factics Intelligence Dashboard, I thought it would be a measurement tool. I designed it to capture how human reasoning performs when partnered with artificial systems. But as I tested FID across different platforms and contexts, the data kept showing me something unexpected. The measurement itself was producing growth. People were not only performing better when they used AI, they were becoming better thinkers.
The Factics Intelligence Dashboard, or FID, was created to measure applied intelligence. It mapped how humans think, learn, and adapt when working alongside intelligent systems rather than in isolation. Its six domains (Verbal, Analytical, Creative, Strategic, Emotional, and Adaptive) were designed to evaluate performance as evidence of intelligence. It showed how collaboration could amplify precision, clarity, and insight (Puglisi, 2025a).
As the model matured, it became clear that measurement was not enough. Intelligence was not a static attribute that could be captured in a snapshot. It was becoming a relationship. Every collaboration with AI enhanced capability. Every iteration made the user stronger. That discovery shifted the work from measuring performance to measuring enhancement. The result became the Human Enhancement Quotient, or HEQ (Puglisi, 2025b).
FID asked, How do you think? HEQ asks, How far can you grow?
While FID provided a structured way to observe intelligence in action, HEQ measures how that intelligence evolves through continuous interaction with artificial systems. It transforms the concept of measurement into one of growth. The goal is not to assign a score but to map the trajectory of enhancement.
This reflects the transition from IQ as a fixed measure of capability to intelligence as a living process of amplification. The foundation for this shift can be traced to the same thinkers who redefined cognition long before AI entered the equation. Gardner proved intelligence is multiple (1983). Sternberg reframed it as analytical, creative, and practical (1985). Goleman showed it could be emotional. Dweck demonstrated it could grow. Kasparov revealed it could collaborate. Each idea pointed to the same truth: intelligence is not what we possess. It is what we develop.
HEQ condensed FID’s six measurable domains into four dimensions that reflect dynamic enhancement over time rather than static skill at a moment.
How HEQ Builds on FID
| FID (2025) | HEQ (2025 to 2026) | Purpose |
|---|---|---|
| Verbal / Linguistic | Cognitive Adaptive Speed (CAS) | How quickly humans process, connect, and express ideas when supported by AI |
| Analytical / Logical | Ethical Alignment Index (EAI) | How reasoning aligns with transparency, accountability, and fairness |
| Creative + Strategic | Collaborative Intelligence Quotient (CIQ) | How effectively humans co-create and integrate insight with AI partners |
| Emotional + Adaptive | Adaptive Growth Rate (AGR) | How fast and sustainably human capability increases through ongoing collaboration |
Where FID produced a snapshot of capability, HEQ produces a trajectory of progress. It introduces a quantitative measure of how human performance improves through repeated AI interaction.
Preliminary testing across five independent AI systems suggested a reliability coefficient near 0.96 [PROVISIONAL: Internal dataset, peer review pending]. This consistency confirmed that the model could track cognitive amplification across architectures. HEQ takes that finding further by measuring how the collaboration itself transforms the human contributor.
HEQ is designed to assess four key aspects of human and AI synergy.
Cognitive Adaptive Speed (CAS) tracks how rapidly users integrate new concepts when guided by AI reasoning.
Ethical Alignment Index (EAI) measures how decision-making maintains transparency and integrity within machine augmented systems.
Collaborative Intelligence Quotient (CIQ) evaluates how effectively humans coordinate across perspectives and technologies to produce creative solutions.
Adaptive Growth Rate (AGR) calculates how much individual capability expands through continued human and AI collaboration.
Together, these dimensions form a single composite score representing a user’s overall enhancement potential. While IQ measures cognitive possession, HEQ measures cognitive acceleration.
The journey from FID to HEQ reflects the evolution of modern intelligence itself. FID proved that collaboration changes how we perform. HEQ proves that collaboration changes who we become.
FID captured the interaction. HEQ captures the transformation.
This shift matters because intelligence in the AI era is not a fixed property. It is a living partnership. The moment we begin working with intelligent systems, our own intelligence expands. HEQ provides a way to measure that growth, validate it, and apply it as a framework for strategic learning and ethical governance.
This research completes a circle that began with Factics in 2012. FID quantified performance. HEQ quantifies progress. Together they form the measurement core of the Growth OS ecosystem, connecting applied intelligence, ethical reasoning, and adaptive learning into a single integrated model for advancement in the age of artificial intelligence.
References
- Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.
- Carter, N. [@nic__carter]. (2025, April 15). I’ve noticed a weird aversion to using AI … it seems like a massive self-own to deduct yourself 30 points of IQ because you don’t like the tech [Post]. X. https://twitter.com/nic__carter/status/1780330420201979904
- Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.
- Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books.
- Gawdat, M. [@mgawdat]. (2025, August 4). Using AI is like borrowing 50 IQ points [Post]. X. [PROVISIONAL: Quote verified through secondary coverage at https://www.tekedia.com/former-google-executive-mo-gawdat-warns-ai-will-replace-everyone-even-ceos-and-podcasters/. Direct tweet archive not located.]
- Goleman, D. (1995). Emotional intelligence: Why it can matter more than IQ. Bantam Books.
- Kasparov, G. (2017). Deep thinking: Where machine intelligence ends and human creativity begins. PublicAffairs.
- Kasparov, G. (2021, March). How to build trust in artificial intelligence. Harvard Business Review https://hbr.org/2021/03/ai-should-augment-human-intelligence-not-replace-it
- Puglisi, B. C. (2025a). From metrics to meaning: Building the Factics Intelligence Dashboard https://basilpuglisi.com/from-metrics-to-meaning-building-the-factics-intelligence-dashboard
- Puglisi, B. C. (2025b). The Human Enhancement Quotient: Measuring cognitive amplification through AI collaboration https://basilpuglisi.com/the-human-enhancement-quotient-heq-measuring-cognitive-amplification-through-ai-collaboration-draft
- Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. Cambridge University Press.
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