The full automated QAE Product is still being built, documented and tested. The full system requires the User to be their own data architect to identify, test and match suitable Raw Metrics to be submitted into the QAE system for processing. The system does not care if the dataset carries a high or low quality SIGNAL as the QAE engine just processes what it is presented with like a calculator or a photo-booth. The SIGNAL comprises of the Users time, energy, intelligence and intent. At the current Beta Stage reports are delivered as PDF files with a basic and growing support docs available to aid a clear understanding of the Dataset Responsibility and the QAE Report geometry which is designed for rapid cognitive engagement once the user is familiar with the layout and labeling. The QAE Report is historical, non-predictive, domain-agnostic, and has no external dependencies. It is suitable for any kind of one-year distrubuted daily time-series data carrying a pattern SIGNAL within — each report stands alone. (User Docs Read More link) – note: this paragraph needs a line re: Seasonal Page for historical | Operational Page for local near time operational.

QAE unpacks one-year daily time-series metric datasets and delivers a dual reverse chronology report with page 1 being operationally focused toward the dataset most recent activity and page 2 pulling in the opposite direction showing historical seasonal analysis backwards in monthly intervals from the most recent month indefinitely if you consider each one-year report an independent dataset tile that does not blend.

The Decade Packs are different in 2 ways. Firstly, the User is not doing the work to create the dataset and submit it to the system, so a summary of the dataset details is given to the User all reports produced; this, along with the User Docs enables the User to fully understand the undrlying dataset. Secondly, QAE Product uses Back-Stitching meaning you can tile multiple instances of these isolated yearly report and tile them next to each other indefinetly with the monthly historical section of the report. The Decade Pack is a set of 10 fully independent seasonal one-year sections (tiles) running from Jan 1 2016 to Dec 31 2025 inclusive. There is no blending, the geometry and layout is identical on each and they can be view as a whole or as tiles to move around on the screen or on paper.

Conceptually, the QAE Product is built around the essence of a User’s SIGNAL instance embedded within a one-year dataset package. That SIGNAL enters the QAE Product Domain through a gate, where the QAE Engine preserves its integrity through ranked quantile transformation and pattern unpacking. The Fairness Exchange requires that the User understands both the nature of the underlying Raw Metrics submitted and become aware that the report unpacks the SIGNAL into quantile geometric form with a standardized layout designed for rapid re-engagement so the User can fully interpret the patterns within their own SIGNAL as it is returned to them in the QAE Report — completing the lifecycle of that instance.

The Fairness Exchange is a critical component of the QAE Product showing the interaction of the User, the machine and the SIGNAL (dataset). The User should commit to learning how the machine works and independently prepare/research the SIGNAL (dataset) input for the machine, so that the User can later re-engage with the machine output. The QAE system commits to unpack and expose the SIGNAL (dataset) and deliver the outcome via a report directly back to the User, aided by colors and geometry for User rapid re-engagement. The Fairness Exchange here is similar to the deal between a truck driver and his truck with the products / materials being loaded, delivered and offloaded through that partnership.

One or two sentences plus links where T&C, PP and Contact are, plus the Feedback Hub.