MN SAPIENS Institutional Publications
Required Transformation Marking in Written Investment-Policy Handoffs: A Pre-Field Measurement Protocol for Professional Boundary Research
31.10.2026
RESEARCH PROTOCOL
BEFORE FIELDWORK

SSRN · Abstract ID 7551718
DOI: 10.2139/ssrn.7551718

Maxim Bagaev
Architect of Family Capital, founder of MN SAPIENS
ORCID: https://orcid.org/0009-0005-3180-1139

About this work

The work examines a narrow problem in professional decision handoffs: how a written investment-policy handoff marks changes that must be made when source material is converted into operational instructions for the next specialist.

The protocol separates two questions: whether a required transformation has been performed correctly, and whether the document makes it apparent that this transformation occurred.

What the protocol proposes

The primary unit of measurement is a Required Transformation Instance (RTI): an element of source material that the downstream task requires to be changed rather than copied verbatim.

The protocol distinguishes three ways of marking such changes: no explicit indication, source attribution and explicit transformation marking. A redundancy check precedes participant recruitment. If the proposed distinction is fully reproduced by existing measures of accuracy, source traceability and change documentation, its separate investigation is discontinued.

Status and limitations

The work is published as a research protocol before fieldwork.

No participants were recruited. No client or family data were used. There are no empirical effect estimates. The protocol is not preregistered and has not undergone human peer review. Calculations in the paper are simulations used for study design, rather than observations of actual professional practice.

The work does not claim a validated construct, a universal professional standard or demonstrated effectiveness of Required Transformation Marking. Its purpose is to define a measurable object that subsequent research can confirm, narrow, integrate with existing approaches or reject.

Primary publication

SSRN · Abstract ID 7551718
DOI: 10.2139/ssrn.7551718

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