# Desk log ADR-FQA-20260825

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/first-question-to-ask-your-data  
**Run ID:** `ADR-FQA-20260825`  
**Date:** 2026-08-25 (Tuesday)  
**Operator:** InfiniSynapse Data Team  
**Attestor:** William Zhu, InfiniSynapse cofounder ([GitHub @allwefantasy](https://github.com/allwefantasy))  
**Contact for contradictions:** zhuhl@infinisynapse.com

## What this file is

A downloadable record of two passes on a day-one signup pack. The first pass browsed sample catalog tiles. The second wrote a known stand-up grain, opened the filter, and opened the file. It is **not** a named-logo customer case, a vendor bake-off, or a Wikipedia / Gartner / Stanford / McKinsey / NIST / OWASP experiment.

## Four-step method (reproducible)

1. Bind a known return-unit grain on a sanitized Monday export plus a one-page note (marketplace included, Warehouse West). Sanitize first.
2. Accept the catalog browse as the control. Score three checks: grain named, filter opened, file opened.
3. Walk the same goal as a known grain: decision → filter → two week tables → file. Score the same three checks.
4. Keep both artifacts side by side. Stop if two of the three checks fail.

## Source and goal

| Field | Value |
|---|---|
| Sources | Sanitized Monday returns export, about 1,050 return units across two complete weeks in Warehouse West, plus a one-page note that locked return units (marketplace included, same warehouse) |
| Standing grain | Which SKU group drove return units this week versus last week in Warehouse West, same definition we already say in stand-up |
| Contrast | Browse the catalog vs known stand-up grain |

## Results

| Retrieval state | Grain named | Filter opened | File opened |
|---|---|---|---|
| Browse the catalog | 0 | 0 | 0 |
| Known stand-up grain | 1 | 1 | 1 |

Return units on this run: 410 (last week) vs 640 (this week). One bundle group contributed 180 of the increase. Marketplace returns were included. The lead kept the file instead of a screenshot.

Wall-clock for the successful pass: about 5 minutes (warehouse time excluded). The clock started when the operator wrote the standing grain and ended when the restated filter, the two week tables, and the file sat in one folder.

## What you may cite

- Artifact counts 0/0/0 → 1/1/1, 410 vs 640 return units, one bundle +180, ~1,050 lines on this run, ~5 min wall-clock, run ID

## What you may not claim

- Customer uplift %, official EEAT score, named-logo case, or that Wikipedia / Gartner / Stanford / McKinsey / NIST / OWASP / Parquet / Arrow / WCAG / WAIC scored this run

## Independent context (not this run)

- [Wikipedia OLAP](https://en.wikipedia.org/wiki/Online_analytical_processing)
- [Apache Parquet docs](https://parquet.apache.org/docs/)
- [Apache Arrow docs](https://arrow.apache.org/docs/)
- [NIST AI overview](https://www.nist.gov/artificial-intelligence)
- [WCAG 2.1 quick reference](https://www.w3.org/WAI/WCAG21/quickref/)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index)
- [McKinsey State of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)
- [Gartner Peer Insights — Analytics and BI Platforms](https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms)
- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework)
- [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/)
- [W3C DCAT](https://www.w3.org/TR/vocab-dcat-3/)
- [DataCite](https://datacite.org/)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition) (self-described company messaging; not independently verified in this log; not a review of the article)