Generate a weekly business report from sales and feedback data

Author: AILesson9 min setupTested with:ChatGPTReviewed: 2026-08-28

Quick answer

Reconcile weekly sales and customer feedback into a decision-ready report without overstating causes. Provide: Sales and operations data, Customer feedback evidence, Report contract. Expected result: A traceable weekly report with metric table, comparisons, feedback themes, exceptions, actions, and data-quality notes.

1

Add your context

Your text stays in this browser. AILesson Prompts does not send it to a model or server.

2

Your prompt

Unfilled fields remain visible as placeholders, so you can still copy and edit the prompt

Generate a weekly business report from the supplied sales, operations, and feedback evidence.

Sales and operations data:
[sales]

Customer feedback:
[feedback]

Report contract:
[report]

First audit scope, field definitions, date coverage, currency, duplicates, missingness, refunds, cancellations, tax, denominators, and reconciliation. Do not silently repair data. Build a table showing current value, comparison value, absolute change, percentage change when valid, target, status, source, and caveat. Use not computable when a denominator is zero or required data is absent. Separate observed facts, calculated results, customer-reported themes, hypotheses, and confirmed causes. For feedback themes show count and denominator, source coverage, representative privacy-safe paraphrase, counterexamples, and confidence; do not generalize from a small or self-selected sample. Connect actions only to supplied evidence, showing owner, due date, expected signal, and decision or escalation trigger; leave missing fields explicit. End with reconciliation, data-quality issues, and questions that must be answered next week.
Private by defaultPrompt assembly happens locally in your browser. Avoid placing confidential information into any AI service unless your organization allows it.

From input to outcome

A worked example

See how concrete context turns this recipe into a usable result

Actual input

Sales and operations data
Report week 11–17 August, comparison 4–10 August, CNY, Asia/Shanghai. Paid order export after duplicate removal: current 118 orders, gross merchandise sales 29,800, refunds issued 1,640 across 7 orders, net merchandise sales 28,160; previous 104 orders, gross 27,040, refunds 520 across 3 orders, net 26,520. Net excludes delivery fees and tax. Payment settlement current 30,020 consists of merchandise 29,800 plus delivery 1,120 minus payment discounts 900; it is before later refunds and therefore does not equal net merchandise sales. Current product units: starter kit 72, refill 41, accessories 19; prior 61, 45, 15. Current fulfilled by cutoff 109 of 118; prior 101 of 104. Current first-time buyers 44, but prior first-time-buyer field is missing. Website sessions current 2,360 and prior 2,120; checkout source lost 85 sessions during a six-hour outage. No confirmed cause for changes.
Customer feedback evidence
Current week: 31 post-purchase survey responses from 118 orders, self-selected; average 4.2/5. Six mention refill packaging leaked, all for batch R0812; two refill buyers explicitly say no leak. Five praise beginner instructions. Three say delivery updates were late; two of those orders were fulfilled after the carrier cutoff. Support log contains 14 contacts: four about leakage, four delivery status, three address changes, three other. Public reviews: three new reviews, all positive. Privacy-safe paraphrases only. Prior week had 18 survey responses averaging 4.4; theme coding was not performed, so theme comparison is unavailable.
Report contract
Audience: owner and operations lead. Decisions: whether to quarantine refill batch R0812 and whether to adjust carrier handoff. KPI formulas: net merchandise sales = gross minus issued refunds; average order value = net merchandise sales divided by paid orders; fulfillment-by-cutoff rate = fulfilled divided by paid orders; refund rate = refunded orders divided by paid orders; website order rate = paid orders divided by sessions but flag tracking outage. Targets: net sales 27,000; fulfillment 95%; refund rate at most 4%. Show current versus prior and one decimal for rates. Material issue means at least five feedback mentions or any suspected product defect. Owner assigns actions in Monday review; do not invent names or dates.

Example output

Weekly business report — 11–17 August

Executive readout: net merchandise sales exceeded target and rose 6.2% on a comparable definition. Fulfillment remained above target but weakened. Refund rate rose above its threshold. Six of 31 survey respondents reported leakage, all tied to batch R0812; this is a defect signal requiring a quarantine decision, not an estimate of all-customer incidence. No cause of the sales or fulfillment changes is confirmed.

MetricCurrentPriorChangeTarget/statusSource and caveat
Paid orders118104+14, +13.5%no targetdeduplicated order export
Net merchandise salesCNY 28,160CNY 26,520+1,640, +6.2%above 27,000excludes delivery and tax
Average order valueCNY 238.64CNY 255.00-16.36, -6.4%no targetnet sales / paid orders
Fulfilled by cutoff92.4%97.1%-4.7 ppbelow 95%109/118 versus 101/104
Refund rate5.9%2.9%+3.0 ppabove 4% ceilingrefunded orders / paid orders
Website order rate5.0%4.9%+0.1 ppdirectional only85 checkout-source records lost; do not infer conversion improvement
First-time buyers44not availablenot computableno targetprior field missing

Mix: starter kits +11 units, refills -4, accessories +4. These are counts, not explanations of revenue movement. Payment settlement reconciles as 29,800 + 1,120 - 900 = 30,020; it is before later refunds and is not expected to equal net merchandise sales of 28,160.

Feedback evidence: leakage appears in 6/31 survey responses and 4/14 support contacts; all six survey reports identify R0812, while two refill respondents report no leak. Confidence is moderate that R0812 needs investigation, but population incidence is unknown because the survey is self-selected. Beginner instructions are praised by 5/31 respondents. Late delivery updates appear in 3/31 surveys and 4/14 support contacts; two survey cases followed late fulfillment. This association does not confirm a carrier-handoff cause. Rating moved from 4.4 with 18 responses to 4.2 with 31; samples differ and no significance test is supplied. Theme trend versus prior is unavailable.

Decision actions: review whether to quarantine R0812 immediately; owner and deadline are unassigned until Monday. Expected signal: inspected units, affected-order count, and leak reports by batch. Escalate if any additional suspected defect appears. Review cutoff misses against carrier handoff timestamps; owner and deadline unassigned. Change handoff only after the sequence is verified.

Data-quality follow-up: restore checkout-source logging; add prior first-time-buyer field; define prior theme coding; reconcile refund timing to settlement. Next-week questions: Is leakage confined to R0812? How many R0812 units shipped and remain? Which step caused nine cutoff misses? Did late updates occur without late fulfillment?

Why this works

  1. 1

    A shared metric table prevents narrative emphasis from hiding denominator or reconciliation problems

  2. 2

    Evidence-counted feedback themes keep vivid comments from masquerading as customer-wide truth

Check the result

  • Do totals reconcile and do all changes use comparable definitions and periods?

  • Are facts, calculations, feedback themes, hypotheses, and confirmed causes clearly separated?

  • Does every proposed action have evidence, an owner or explicit gap, and a measurable trigger?

Use it with confidence

Frequently asked questions

Practical answers about when to use this recipe, what to provide, and where human review still matters

What should I prepare before using “Generate a weekly business report from sales and feedback data”?

For “Generate a weekly business report from sales and feedback data,” prepare Sales and operations data, Customer feedback evidence, and Report contract. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.

When is the “Generate a weekly business report from sales and feedback data” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—A traceable weekly report with metric table, comparisons, feedback themes, exceptions, actions, and data-quality notes—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.

Which AI tools have recorded tests for “Generate a weekly business report from sales and feedback data”?

The published test record for “Generate a weekly business report from sales and feedback data” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.

Keep the work moving