Based on the complete data in this workbook, which creative territory has the strongest efficiency across conversion rate, CPA, and ROAS, and what data-quality issue should I know about?

@Data Analytics Use only the five Auralis Beam source files provided for this task.

Create an editable weekly campaign learning brief for the six-week test ending August 23, 2026. Use the measurement plan’s KPI definitions, targets, attribution window, data cutoff, minimum-signal rules, and decision rules exactly.

Your brief should:

1. Lead with the clearest decision the evidence supports.
   Compare Camera-ready desk, Compact apartment, and Warm evening work mode across CPA, conversion rate, click-through rate, and ROAS.

2. Use customer feedback and sales notes as supporting signals, not as quantified proof.
   Separate measured findings, qualitative signals, hypotheses, open questions, and next tests. Cite the source for every material claim.

3. Flag incomplete or stale data before making a recommendation.
   Paid Social conversion and revenue data for the final two days is intentionally unavailable. Explain how that limits the read.

4. Draft a short digest for the #marketing Slack channel for my review.

5. Save the output as “Auralis Beam - Weekly Campaign Learning Brief - 2026-08-24.”

Do not invent missing values, fill gaps, infer causality, or present a directional signal as a verified explanation.

Link every material figure and conclusion to the source file and relevant sheet, table, or section.

Show your work for the $44.74 CPA for Camera-ready desk using complete data. Link to the source file, identify the exact rows and columns used, and confirm how the partial Paid Social dates were handled.

Schedule this workflow to run every Monday at 7:30 a.m.

Every Monday at 7:30 a.m. [time zone], run the Auralis Beam weekly campaign learning workflow using the latest approved files in the campaign learning folder.

Apply the latest approved measurement plan’s KPI definitions, targets, attribution window, data cutoff, minimum-signal rules, and decision rules exactly.

Before producing the brief, verify that all required files are present and that spend, traffic, conversion, and revenue data share a clear cutoff. If a required source is missing, a definition has changed without approval, or the data is incomplete or stale under the approved measurement-plan rules, stop and create an exception note instead of a final recommendation.

Produce a dated editable learning brief and a Slack-ready digest. Separate measured findings, qualitative signals, hypotheses, open questions, and proposed next tests. Cite every source and do not send or publish anything without human review.

Based on these files, which territory should lead the Auralis Beam launch, and which strategic decision is still open?

@Product Design Use the supplied Auralis Beam launch brief, approved campaign recommendation, brand and claims guide, channel requirements, concept-board template, review rubric, and product assets.

Create three genuinely distinct campaign directions in a new editable copy of the concept-board template.

1. Anchor each direction in an audience truth and cite its source.
2. Define a one-sentence core idea with a distinct visual language, composition, and tone.
3. Create a hero execution using the supplied product without changing its design or features.
4. Add sample copy and adaptations for paid social, paid search, creator partnerships, lifecycle email, and the launch landing page.
5. State the strongest tradeoff, risk, and open question for each direction.

Use only approved product claims. Score each direction with the supplied rubric, treating product accuracy and claims safety as pass-or-fail gates. Recommend one direction for the next round, explain the evidence and uncertainty behind it, and identify what a human reviewer must approve before production.

Show your work for the statement that Auralis Beam fits flat monitor backs 10–40 millimeters thick. Link to the source, identify the exact section, and tell me whether the approved files support saying it fits every monitor.

Save this workflow as a skill called campaign-concept-development.

Turn the campaign concept workflow we just used into a reusable skill called campaign-concept-development.

The skill should retain:

- The required-input checklist
- The source review and claims-check procedure
- The three-direction concept-board structure
- The channel-adaptation requirements
- The process for applying a current approved review rubric, including product-accuracy and claims-safety gates
- Source-citation, uncertainty, and human-approval rules

The skill should not retain:

- Auralis Beam customer insights or campaign results
- The current launch recommendation
- Any selected concept, sample copy, score, or decision
- Auralis Beam product imagery or brand-specific claims
- Any Auralis Beam-specific rubric wording, weights, scores, or campaign criteria

Each run must ask for a current product and launch brief, an approved customer or campaign insight, current brand and claims guidance, channel requirements, a current approved review rubric, assets, an editable output template, and the intended reviewers. If any required source is missing or contradictory, the skill should stop and request clarification rather than inventing content.

Based on my recent work, suggest three Marketing tasks I could hand off to ChatGPT Work. Tell me what you would create for each one and where I should start. Don’t begin until I choose.