Editorial Methodology
How this publication earns executive trust.
Quantiviq Insights exists to give executives analysis they can act on. That means every number traces to a source, every framework is original synthesis, and every limitation is stated. This page documents how.
What we publish
20 original English articles across five pillars — strategy, economics, AI-native operating models, trust and governance, and applied industry analysis. Each article answers one executive decision question, states its thesis in the opening paragraphs, provides a usable framework, and closes with concrete next actions. We do not publish opinion without evidence, and we do not publish evidence without attribution.
Source policy
Every external claim is anchored to a primary source: research institutions (McKinsey, BCG, Gartner, Deloitte, MIT, NBER, METR), standards bodies (NIST, EU regulation), or peer-reviewed journals. We record the source, publisher, publication date, URL, access date, methodology notes and limitations in a structured ledger — 23 sources at present. When we rely on secondary coverage of primary research (for example, trade-press reporting of a consultancy survey), we say so explicitly in the reference entry, and we treat those figures as directional rather than exact.
We never:
- invent source titles, URLs, dates, numbers or quotes;
- reprint third-party charts, illustrations or long excerpts;
- imply affiliation with or endorsement by any research institution;
- present forecasts as observed results.
Citation standard
Inline citations link to the reference list at the end of each article; every reference carries the original link and the date we last verified it. Quantitative claims include the context an executive needs: year, surveyed population or sample, and whether the finding is observational, experimental or a forecast.
Original synthesis and examples
Frameworks, diagrams and financial models in these articles are original Quantiviq work — built to be applied, not admired. Where an article uses a worked scenario with invented numbers (for example, a retailer recovering lost revenue), the scenario is labeled prominently as an illustrative synthetic scenario with stated assumptions. We do not present synthetic examples as client case studies, and we make no claims of unnamed-client outcomes.
AI assistance disclosure
Articles are research-led and AI-assisted: the research ledger, article structure, analytical arguments and verification standards are set by the editorial process, with AI tooling used for drafting and iteration under human editorial control. Before publication, every article is checked against the source ledger (claims trace to cited sources), schema-validated, and reviewed for structure, tone and technical accuracy. This is disclosed rather than hidden because it is how serious analysis is produced in 2026 — and because the standard that matters is verifiability, not typing speed.
Corrections and updates
Articles carry published and updated dates. Substantive changes update the date and are reflected in the sitemap and RSS feed; typographical fixes do not reset the published date. Corrections of substance are made in place with the updated date — we do not silently rewrite history.
Reading the ledger
The full source ledger is maintained alongside the articles (23 sources at publication). For each article, the reference list is the article-facing view of that ledger — the same source IDs, dates and limitations. If a claim cannot be verified, it does not ship.
About the Persian edition
The Persian edition is a complete, professional counterpart of the English publication: the same structure, tables, figures, citations and numbers. Research sources keep their original English titles in the reference lists so readers can locate the primary material. All figures and formulas are preserved exactly as published in English — nothing is altered for the Persian audience.