# Desk log ADR-WSA-20260825

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/what-is-self-service-analytics  
**Run ID:** `ADR-WSA-20260825`  
**Date:** 2026-08-25 (Tuesday)  
**Evidence package checked:** 2026-08-31
**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 one Monday late-ship trail. The first pass said the sentence out loud and kept only a chat bubble. The second wrote the sentence, opened the trail, and named the stop. 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 late-ship grain on a sanitized Sunday WMS export plus a one-page note (scanned after the promised hour, same carrier). Sanitize first.
2. Accept the chat-bubble pass as the control. Score three checks: sentence written, trail opened, stop named.
3. Walk the same goal as objects: decision → filter → two week tables → file → stop rule. 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 Sunday WMS export, about 1,120 ship lines across two complete weeks, plus a one-page note that locked late ship (scanned after the promised hour, same carrier) |
| Standing question | Which dock drove the late-ship spike this week versus last week, same carrier filter, on the WMS export we already send on Sundays |
| Contrast | Chat bubble only vs sentence + trail + stop |

## Results

| Retrieval state | Sentence written | Trail opened | Stop named |
|---|---|---|---|
| Chat bubble only | 0 | 0 | 0 |
| Sentence + trail + stop | 1 | 1 | 1 |

Late ships on this run: 61 (last week) vs 92 (this week). Dock 3 contributed 24 of the increase. Marketplace returns were not in this WMS file. The lead kept the file instead of the chat.

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

## What you may cite

- Artifact counts 0/0/0 → 1/1/1, 61 vs 92 late ships, Dock 3 +24, ~1,120 lines on this run, ~5 min wall-clock, run ID
- Verification materials: [aggregate CSV](./aggregate-ADR-WSA-20260825.csv), [verification script](./verify-ADR-WSA-20260825.py), [external-source check](./external-source-check-WSA-20260831.md), and [independent-reproduction protocol](./independent-reproduction-protocol-WSA-20260831.md)

## What you may not claim

- Customer uplift %, official EEAT score, named-logo case, or that Wikipedia / Gartner / Stanford / McKinsey / NIST / OWASP / ClinicalTrials / ICH / SNOMED / EPSG / GeoNames / WAIC scored this run
- Independent reproduction: no qualifying external report had been received as of 2026-08-31

## Independent context (not this run)

- [ClinicalTrials.gov](https://clinicaltrials.gov/)
- [ICH](https://www.ich.org/)
- [SNOMED](https://www.snomed.org/)
- [EPSG](https://epsg.io/)
- [GeoNames](https://www.geonames.org/)
- [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/)
- [UK Government Aqua Book](https://www.gov.uk/government/publications/the-aqua-book-guidance-on-producing-quality-analysis-for-government)
- [GAO Assessing Data Reliability](https://www.gao.gov/products/gao-20-283g)
- [ASA Ethical Guidelines for Statistical Practice](https://www.amstat.org/your-career/ethical-guidelines-for-statistical-practice)
- 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)