Restaurant SOP: B2B Operational Procedure
A prompt to generate a structured restaurant SOP, with specific variables (food cost, equipment, regulations) and performance indicators.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Write a standardized operating procedure (SOP) for a [TYPE_OF_RESTAURANT] (e.g., fast-casual, fine dining, chain) located in [CITY]. The SOP should be intended for front-of-house and kitchen staff, structured into 4 sections: 1. Mise en place and hygiene: detail the steps for cleaning workstations, frequency of changing [FRYING_OIL] and temperature control of [COOKING_EQUIPMENT]. Include a point on allergen traceability (mandated by [FOOD_REGULATION]). 2. Customer service: describe the greeting process, order taking via [POS_SYSTEM] (e.g., Lightspeed, Toast), and the complaint management protocol (response time < 5 min, compensation capped at [MAX_REFUND_AMOUNT]). 3. Inventory management: ordering procedure from suppliers [MAIN_SUPPLIER] with automatic reorder threshold for [PERISHABLE_PRODUCTS], and rotating inventory every [INVENTORY_FREQUENCY]. 4. Quality control and audits: daily checklist for the manager (checking [NUMBER_OF_POINTS] points) and weekly report on target food cost at [FOOD_COST_PERCENTAGE]% of revenue. Each section must include measurable KPIs and corrective actions in case of deviation. The tone is professional, imperative, and without unnecessary jargon. The final procedure must fit on a maximum of 3 A4 pages, with numbered headings and bullet points. Add a preamble explaining the importance of standardization for scalability of the concept for franchisees and B2B investors.
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Why this prompt works
This prompt is designed to produce a standardized operating procedure (SOP) adapted to the restaurant industry. It forces the AI to use precise business vocabulary (food cost, traceability, rotating inventory) and to comply with regulatory constraints (allergens, HACCP standards). The variables in [BRACKETS] allow customization of the SOP for a specific establishment (restaurant type, equipment, suppliers). To use it, replace each variable with a concrete value. For example, [TYPE_OF_RESTAURANT] can become "fast-casual", [CITY] "Lyon", [FRYING_OIL] "sunflower oil". The more precise the variables, the more actionable the result. This prompt is ideal for chain managers or restaurant consultants who need to standardize multi-site processes. The expected result is a structured document in four sections with KPIs, immediately usable for staff training or presentation to investors/franchisees. The mention of scalability and B2B in the preamble ensures the text addresses the growth and profitability concerns of decision-makers.
Use Cases
Expected Output
A document of maximum 3 A4 pages, structured in 4 numbered sections with bullet points, including KPIs (food cost, service time, satisfaction rate) and corrective actions. Industry jargon is present (HACCP, rotating inventory, reorder threshold).
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Le prompt couvre bien l’opérationnel, mais il manque le volet formation des équipes, pourtant essentiel en contexte B2B/franchise. Ajoutez une section « Formation continue » : qui forme, à quelle fréquence (ex. à l’embauche + rappel mensuel), et comment vérifier l’application réelle (observation notée, quiz rapide). Cela garantit l’adoption de la SOP et sa reproductibilité dans chaque établissement.
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