# Supplemental context — prewritten fictional product/support follow-up

**Authored:** 2026-10-29, before the initial AI run. **Use:** introduce only after the initial v1 response, during human review. Record this file's SHA-256 before the run. This is authored teaching context, not a real interview, ticket export, deployment log or finding from a live client. Nothing here describes or predicts the model's response.

## What v1 knew

The brief contained the supplied course business, research hypotheses, measurement definitions and activation handoff. It explicitly marked product release history, mobile QA and support feedback as unknown and assigned follow-up to their owners. No product defect, founder sensitivity or known release was withheld from those supplied v1 inputs. The fictional reporting team had not yet received this follow-up. The real author writes it in advance so later context cannot be tailored to manufacture an AI failure.

## Newly supplied in the fictional review sequence

At the product/support follow-up after the v1 draft, the product owner reports that a mobile-only quiz presentation revision began rolling out on **September 8, 2026, at 09:00 UTC**. It added an expandable ingredient-information panel and changed the label beside the next-step control. The desktop presentation was unchanged. The owner has not supplied the deployment audit, rollout share, version-assignment log or device/browser QA results. This is a reported release description within the fiction, not independently verified instrumentation evidence.

The support lead reports that recent messages included difficulty finding the next-step control on a phone. The supplied note contains no ticket-level dates, counts, customer identifiers or linkage to paid cohorts, quiz events, creative or release version. It does not establish complaint prevalence, whether users abandoned, whether the comments began before the revision or whether any loss was incremental.

The product owner can assign a mobile reproduction and event-verification check in the next working day, with the media lead supplying cohort/funnel definitions. A proposed check should compare affected and unaffected presentation versions where assignment can be reconstructed, verify that starts/completions mean the same thing across versions, and inspect device/browser combinations. If assignment or event evidence is missing, record that limit instead of claiming a controlled test.

## What this can change — and what remains unresolved

This context can make product/measurement verification a more specific or timely next step than an immediate message rewrite or channel move. It can also confirm a sensible existing diagnostic recommendation. The reviewer must decide from the actual draft and checked data; no changed recommendation or reduced confidence is required.

Timing, device scope and a reported usability concern make the revision an **investigable hypothesis**. They do not establish that it caused the aggregate change. Audience/channel/creative mix, within-group movement, event-definition changes, other releases and unrelated influences still require scrutiny. The fixed-mix comparison remains necessary and cannot be replaced by this story. No revenue-loss estimate, causal attribution, automatic pause or exact budget reallocation follows from this note.

Carry into brief v2 as **reported fictional context pending verification**, naming product owner and media lead, requested logs/checks and the unresolved causal question. Record independently verified counts as data findings, reported context as reported context and review actions as decisions. Keep the actual initial response unedited. This is an example of learning after a brief, not a controlled comparison of human and AI judgment.