Prompt Details
Model
Chat - (gpt-5.6)
Token size
4,822
Example input
[DELETE THIS TEXT AND PASTE YOUR BRIEF:
TASK: describe the online shop or team, the situation or change, what is changing and why, what it must achieve, and your time frame β at least 10 words. Do not include names of individuals or confidential data.
Online Scope: optional how broad the online sales is on a 1-5 scale, not a headcount or a count. 1 = one small online shop, 3 = an established online store with a team, 5 = the whole online business across channels and regions. Leave blank for auto.
Demand Stability: optional how steady and predictable orders are on a 1-5 scale, not a headcount or a count. 1 = orders swing sharply, 3 = a mostly predictable seasonal pattern, 5 = steady orders all year. Leave blank for auto.
Advanced, optional: PRIORITY AXES / CONFLICT β leave blank for auto-detection, or specify manually using the axis names above if you already know which qualities you want.]: TASK: I run a small online shop selling handmade home decor, with one helper. Product pages are short and copied from supplier text, buyers rarely leave reviews, and after marketplace fees and discounts I do not know what I really earn on each item. I want a clearer plan for product pages and pricing over the next four months.
Example output
MODE: Standalone
Online Marketplace situation: Product-page quality, pricing-and-fee visibility, and review/trust gaps for a small handmade home-decor shop over four months.
π Auto-detected: Priority axes O2 Listing Quality, O6 Pricing and Fees, O10 Reviews and Trust, O4 Conversion Path, target gaps O2 Listing Quality, O6 Pricing and Fees, O10 Reviews and Trust, Online Scopeβ1, Demand Stabilityβ2 (based on: small shop with one helper and no stated demand pattern; product pages, fee visibility, and reviews are the clearest gaps) β override anything above by specifying it manually in your brief.
TOP-3 DIRECTIONS:
1οΈβ£ O2 Listing Quality + O6 Pricing and Fees + O10 Reviews and Trust + O4 Conversion Path + O9 Returns and Support (k=5) β strongest link between listings, buying decisions, and trust π’ BEST-FIT β READY-TO-USE PROMPT BELOW
Target Set covered: Yes; Compatibility: Compatible β listing, conversion, and trust work suit a small shop
Core: O2 Listing Quality + O4 Conversion Path; Weak link: O9 Returns and Support
2οΈβ£ O2 Listing Quality + O6 Pricing and Fees + O10 Reviews and Trust + O3 Traffic Sources + O11 Repeat Buyers (k=5) β broadens customer learning beyond individual listings
Target Set covered: Yes; Compatibility: Compatible β pricing and trust axes adapt well to a small operation
3οΈβ£ O2 Listing Quality + O6 Pricing and Fees + O10 Reviews and Trust + O8 Stock Accuracy + O12 Account and Rules Risk (k=5) β adds operational safeguards around marketplace selling
Target Set covered: Yes; Compatibility: Partial β operational controls add workload for a small team
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π’ READY-TO-USE PROMPT (based on 1οΈβ£):
Help me develop a four-month discussion plan for a small online shop selling handmade home decor through its existing online sales setup. The shop has one helper. Product pages are currently short and copied from supplier text, buyers rarely leave reviews, and the owner cannot clearly see what each item earns after marketplace fees and discounts. The immediate focus is improving product-page quality and developing a clearer way to evaluate pricing and channel costs without setting prices or forecasting financial outcomes.
Treat the shop's actual situation as the source of truth. Mark every assumption clearly. Never invent figures, costs, conversion rates, review counts, order volumes, or operational capacity. Never choose an option, platform, supplier, product, or brand for the owner. Do not set prices, calculate a recommended selling price, forecast sales, forecast margin, forecast profit, or conclude whether a specific marketplace rule, tax requirement, customs treatment, legal requirement, or regulatory position applies. Those questions should be taken to the appropriate decision-maker or qualified professional. Treat your output as a discussion aid rather than professional advice.
Compare practical approaches that fit a small team, including a structured listing review process and a repeatable product-page improvement routine. You may also compare a simple fee-and-cost recording method with other ways of organizing existing business records, but do not determine what the shop should charge. Explain what information each approach requires, what work it adds, what it makes easier to review, and what evidence would justify continuing or stopping it. Keep the comparison neutral so the owner can decide.
O2 Listing Quality readiness check: Together, inspect a small representative sample of existing product pages. Check whether each page clearly identifies the item, answers likely buyer questions, explains important characteristics in original wording, presents usable images or image requirements, and makes the purchase decision easier. Separate observed facts from assumptions. Identify repeated weaknesses that could become a simple page-quality checklist. Do not rewrite every listing automatically; first establish a manageable review method for a one-helper team.
O6 Pricing and Fees readiness check: Together, map the existing records used to understand item-level costs, marketplace fees, discounts, fulfilment-related costs, and other relevant deductions. Do not set prices or state what a price should be. Identify which figures are known, which are missing, and which need professional accounting interpretation. Build a neutral record structure that lets the owner see the components affecting each item's financial result without forecasting future sales or profit.
O10 Reviews and Trust readiness check: Together, review the current review situation and the trust information already visible to buyers. Identify factual gaps such as missing product information, unclear expectations, inconsistent descriptions, or weak explanations of service terms. Distinguish between legitimate ways to make the buying experience clearer and any tactic that could improperly influence reviews. Do not promise that any change will increase reviews or sales.
O4 Conversion Path readiness check: Together, trace the buyer's path from a product page through the purchase process using a small sample. Identify unnecessary questions, unclear information, confusing steps, or points where the owner lacks useful evidence about what happened. Treat these as observations to investigate rather than proof of a cause. Keep the proposed process short enough for one owner and one helper to maintain.
O9 Returns and Support readiness check: Together, review how customer questions, complaints, returns, and follow-up requests are currently recorded and handled. Identify recurring information gaps that should be reflected in product pages or internal procedures. Do not give legal conclusions about return obligations. Mark any question about legal rights, mandatory disclosures, or regulatory requirements for qualified professional review.
Stage 1 β Baseline: document the current listing workflow, available cost and fee records, review evidence, purchase path, and support process. Go if the team can describe the current process using existing records. No-go if essential records cannot be identified without first deciding how they should be created.
Stage 2 β Small test: select a limited set of existing listings and apply the neutral page-review checklist, record the relevant cost and fee information already available, and document trust and support observations. Go if the process can be completed consistently within the team's available time. No-go if the process creates unresolved data or workload problems.
Stage 3 β Refine: compare what was learned from the small test and revise the checklist or record structure. Go if the revised process is understandable, repeatable, and auditable by the owner and helper. No-go if it depends on invented assumptions or specialist conclusions that have not been verified.
Stage 4 β Four-month routine: establish a lightweight review cadence for listings, records, trust information, conversion-path observations, and support issues. At each review, record evidence, open questions, and decisions separately. Stop or revisit the routine if it becomes too burdensome, produces unreliable records, or depends on information the team cannot consistently obtain.
Ask an accountant which existing financial records should be used to understand item-level costs, fees, discounts, and financial results, and which calculations require professional accounting treatment. Ask a legal or compliance adviser which customer-facing terms, disclosures, returns information, review practices, or marketplace obligations require professional interpretation. Ask an online operations specialist how a one-helper team can maintain listing reviews, order-related records, customer support, and routine checks without creating unnecessary manual work.
For every stage, state the evidence needed for a go decision, the evidence that would trigger a no-go decision, the person responsible for checking it, and the date when it should be revisited. Flag risks including inaccurate records, copied or outdated product information, excessive manual workload, inconsistent customer information, unreliable review evidence, missing operational records, and decisions based on assumptions rather than observed data. Do not turn any risk into a forecast.
For the first 30 days, create a practical sequence of small actions beginning with an inventory of current listings and existing records, followed by the sample listing review, fee-and-cost record review, trust and support review, conversion-path walkthrough, and a short team review of findings. Keep each action small enough for the owner and helper to complete alongside normal operations. The sequence ends at day 30 or at the agreed decision date if that occurs sooner.
At the end, provide a concise decision worksheet containing the approaches considered, evidence gathered, unresolved questions, professional questions to ask, operational effort observed, risks requiring review, and the next revisit date. Do not fill a decision for the owner. Do not recommend a named platform, supplier, product, or brand. Do not set prices or forecast sales, margin, or profit. Clearly label all assumptions and distinguish observations, calculations, professional questions, and decisions.
Negative prompt / avoid: invented figures, price recommendations, sales or margin forecasts, named vendors or platforms, unsupported review tactics, legal conclusions, tax conclusions, regulatory conclusions, copied listing text, and workflows too complex for one helper.
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βΉοΈ "This tool compares online sales directions and builds a discussion prompt; it does not choose for you, give legal, tax, or financial advice, or predict sales or how a channel change will turn out."
Assumptions made:
- No assumptions were needed.
β Want a different direction? Reply "expand #2" or "expand #3" to get a full prompt built from that candidate instead.
π‘ Want to take this further? All three tools below are built for Claude.
- Not sure your brief is ready? Search "Universal Query Auditors" on PromptBase to audit and rewrite your request before comparing directions.
- Have a clear brief already and just want one direct prompt? Search "Universal Instruction Generator" for a single-pass generator.
- Got a finished prompt and want it reviewed? Search "Universal Instruction Auditors" to check it against a full quality checklist before use.
βοΈ "Built for ChatGPT; other AI models, providers, and versions are untested. Use at your own discretion. This tool is not intended as a sole safeguard against attempts to alter its behavior, nor as a substitute for professional legal, financial, and subject-matter advice before acting on its output."
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GPT-5.6
π Describe your online sales in plain language, no special terms or scale knowledge needed β this tool auto-detects gaps, compares 3 strategies, and returns a compatibility check plus one ready-to-use prompt. Covers listings, pricing, channels, stock, delivery, repeat buyers. β οΈ Not legal, tax, financial, or business advice; advertising, product, consumer-law, platform-rule, and trademark/IP checks are yours; not liable for outcomes. Tested on ChatGPT; other models untested, output may vary.
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