Structured Introspection as Scientific Procedure: A Replication Protocol for Information Fields-Based Intuition Research
White Paper II established that alignment with the recovered field signal is the single strongest predictor of decision satisfaction across 131 subjects and a decade of research. This paper answers the next question: how is that signal recovered? What does a researcher need to do, technically and practically, to replicate the study? The method rests on one foundational requirement — the organismic criterion — and operates through three steps: situational mapping (including questionnaire administration), dream analysis, and the directive. The structured questionnaire (Azevedo, 2007) is the scientific container that makes every step registerable, comparable, and statistically evaluable. It is administered once per subject; subsequent sessions require only the situation and results blocks. The questionnaire is not merely a data collection instrument. Administered while the researcher applies the organismic criterion, it is the fast-track equivalent of the full biographical anamnesis — revealing, in the course of being answered, the field topology of the subject: the dominant affective references, the knots of persistent dissatisfaction, the valleys of unexplored organizational potential. By the time the dream is narrated, the researcher already has a working map. The dream then speaks directly into that map. This paper does not develop the philosophical and psychological foundations of the method — those are the subject of White Paper IV. The focus here is operational: what the researcher does, how the questionnaire is structured, how the dream is read, and how the calibration question raised in White Paper II is answered in practice.
Authors
- Erico de Lima Azevedo (ORCID: https://orcid.org/0000-0001-7928-4023)
Institutions
- Universidade Estadual de Campinas (UNICAMP) (BR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-26
- DOI
- https://doi.org/10.5281/zenodo.20931877
- Primary Topic
- Innovation, Sustainability, Human-Machine Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00