Prompt to Build a Restaurant Employee Onboarding
This prompt generates a structured onboarding program for a restaurant, integrating sector constraints and customizable variables.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an onboarding expert in the CHR sector (Cafés, Hotels, Restaurants). Design an employee onboarding program for a [TYPE OF RESTAURANT: fine dining/bistro/chain/fast-casual] restaurant with [NUMBER OF COVERS] covers and a team of [TEAM SIZE: 10-50 people]. The goal is: [MAIN OBJECTIVE: reduce turnover/improve service quality/standardize practices]. Sector-specific constraints: seasonality (summer peaks or holidays), high turnover (average 70% in CHR), need for speed (operational from day one). Required structure:
- Pre-arrival: document checklist (contract, insurance, training schedule), send [WELCOME BOOKLET] (charter, floor plan, dress code, tasting menu).
- Day 1: Welcome by [MANAGER: head waiter/manager], tour of premises (kitchen, dishwashing, storage, dining room, locker rooms), issue tools (PPE, PDA, uniform), team introduction during rush.
- Week 1: Mentoring by an [EXPERIENCED EMPLOYEE], immersion in each station (setup, service, payment, closing), quiz on the menu and HACCP standards.
- Month 1: 360° evaluation by [HR OR OPERATIONS MANAGER], adjustment of training plan, integration into daily briefings. Include sector-specific KPIs: time to autonomy (T1: able to handle payments alone?), customer satisfaction via [TOOL: Google Reviews/Yoast], 6-month turnover. Provide a retroplanning template (D-7 to D+30). Adapt tone and vocabulary: 'rush', 'setup', 'evening service', 'brigade'. Deliver the result as an action sheet with deadlines and responsible persons.
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Why this prompt works
<p>To use this prompt, simply copy-paste the text into an AI assistant (ChatGPT, Claude, etc.) and replace the variables in [BRACKETS] with your establishment's information. For example, for [TYPE OF RESTAURANT], put 'fine dining' if you are a starred restaurant.</p><p><strong>Usage tips:</strong></p><ul><li>Personalize each variable to reflect your reality: if your restaurant is a chain, mention it; if you have high seasonality, adapt the objective.</li><li>The prompt will generate a detailed action plan, ready to be integrated into your HR tools (LMS, intranet). You can then turn it into a paper checklist for managers.</li><li>For optimal tracking, ask the AI to produce a table with deadlines and responsible persons. This will facilitate implementation.</li></ul><p><strong>Why is this prompt effective?</strong> It incorporates industry vocabulary (brigade, rush, HACCP) and KPIs specific to the restaurant industry (turnover, time to autonomy). It forces consideration of mentoring, crucial for retention in this sector.</p>
Use Cases
Expected Output
The prompt will produce a detailed retroplanning (D-7 to D+30) with actions per phase, responsible persons, and sector-specific KPIs. The format will be an actionable action sheet suitable for team meetings.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Sur les postes en tension (plonge, runner), ajoute une prime de parrainage versée au tuteur après validation de la période d'essai : c'est le levier qui pèse le plus sur le turn-over à 6 mois en CHR. Variante : livret d'accueil en QR code (charte, plan de salle, carte) plutôt qu'un classeur papier, consultable dès la mise en place.
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