En2uition’s analysis uses AI that is intentionally designed for relationship-focused self-reflection. Large language models review answers in stages - first within smaller groups of related questions, then across broader sections, and finally across the full questionnaire. Human-designed prompts shape how information is organized and combined at each stage.
There is no human review of individual AI outputs; instead, human guidance is built into the system’s design and shapes how responses are organized and interpreted across different groupings of answers.
The process focuses on how answers relate to one another, rather than treating each answer on its own. By setting clear rules for how analysis unfolds, human guidance helps keep insights clear, consistent, and grounded in context. The result is a structured, reflective analysis that supports understanding and self-awareness.
