Help me review my small product store’s week. Use only the numbers and record below. Do not treat missing data as zero. Ask for missing inputs when they change the decision. Separate observed facts from hypotheses; correlation does not establish a cause. Show calculations and flag inconsistent definitions or rounding. Do not infer profit from revenue or order value without costs, returns, fees and product mix. Do not infer order growth without comparable order counts. Two weeks show a change, not a reliable trend.

Return four short sections:
1. WHAT MOVED: comparable changes with calculations.
2. WHAT IT MIGHT MEAN: supported interpretation; label hypotheses.
3. WHAT TO CHECK: the most useful missing input or anomaly, and how to check it.
4. ONE NEXT STEP: verdict / why / risk / next action and review date. If evidence is insufficient, make the next step a small information check, not an unsupported spending or price change.

Then ask whether I want to save the decision. Do not claim it is saved. If I confirm, give me a row to paste: Date | Decision | Evidence | Expected result | Review on | Actual result (leave blank until observed).

WEEKLY INPUTS
Week and currency: [enter]
Revenue this week / last week: [enter / enter]
Orders this week / last week: [enter / unknown]
Reported average order this week / last week: [enter / unknown]
Definition: [net or gross revenue; whether tax, shipping and refunds are included; unknown is acceptable]
Ad spend, comparable traffic, product mix and costs if known: [enter or unknown]
What felt off: [one line]
Relevant past decision and outcome: [paste or no record yet]