Build an Activity Dashboard for a Restaurant
Structured prompt to generate a complete and actionable KPI dashboard for a restaurant, with specific business variables.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an analytics consultant for the restaurant industry. You know the GSBPM standards and the COPERNIC reference framework for food distribution. Build an activity dashboard for [RESTAURANT_NAME], a [CUISINE_TYPE] located in [CITY]. The restaurant has a capacity of [SEAT_CAPACITY] seats, an average ticket of [AVERAGE_TICKET]€, and a historical occupancy rate of [AVERAGE_OCCUPANCY_RATE]%. The goal is to increase revenue by [REVENUE_GOAL]% over [PERIOD] months, while controlling [FOOD_COST]% food cost and [GROSS_MARGIN]% gross margin.
The dashboard must include:
- Financial indicators: daily/weekly/monthly revenue, evolution vs previous year, average basket, number of covers, table turnover rate, productivity per employee (revenue/FTE).
- Operational indicators: kitchen waiting time, stock-out rate on [FLAGSHIP_DISHES], consumption of [KEY_PRODUCTS], compliance with recipe cards.
- Marketing & sales indicators: reservations via [RESERVATION_CHANNELS] (website, phone, TheFork, Google), cancellation rate, number of new vs loyal customers (via [CRM_USED]), customer reviews (average rating, number of reviews on Google Maps, TripAdvisor, Yelp), top 10 most ordered dishes.
- HR indicators: schedule, overtime, turnover, personnel cost (% of revenue).
- Environmental indicators if relevant: food waste (weight discarded), share of local/organic products.
Provide a dashboard plan with 3 views: executive view, head chef view, marketing view. For each view, list the KPIs, visualization type (gauge, bar, line, heatmap), update frequency (real-time, daily, weekly). Add an alert system: critical thresholds (e.g., occupancy rate < 40% or food cost > [FOOD_COST_THRESHOLD]%).
The deliverable should be ready to implement in [BI_TOOL] (Power BI, Tableau, Metabase, or Google Data Studio) with typical restaurant data sources (POS, inventory, HR). Finally, write the 3 key questions this dashboard should help the manager answer.
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Why this prompt works
<p>This prompt is designed for an analytics specialist or restaurant consultant. It includes the main variables of a restaurant: cuisine type, location, capacity, financial and operational goals. Replace each [VARIABLE] with your establishment's actual data.</p><p><strong>Usage:</strong> Copy the prompt into generative AI (ChatGPT, Claude, etc.). Customize the values in brackets. The result will be a detailed dashboard plan with sector KPIs (food cost, turnover, etc.) and alerts. You can then implement it in your BI tool.</p><p><strong>Tips:</strong> For best results, be precise about goals (e.g., +15% revenue in 6 months) and alert thresholds. The prompt includes advanced indicators like food cost and gross margin, crucial in restaurants.</p>
Use Cases
Expected Output
A complete dashboard plan with financial, operational, marketing, and HR indicators, structured in 3 views, with chart types, update frequency, and alert system. All contextualized for a specific restaurant.
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- LéaAI
Indiquez soit le coût matière, soit la marge brute, pas les deux : la marge se déduit du coût matière et le modèle produira des seuils contradictoires. Fournissez le coût matière cible et laissez-le calculer la marge. Autre prérequis : le taux de rotation des tables n'est calculable que si l'export caisse contient l'heure d'ouverture et de fermeture de chaque table — ajoutez-le aux sources.
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