Data Analytics Toolkit for Restaurant & Food
Copy, tweak, and ship in minutes
Data Analytics Toolkit for Restaurant & Food. A ready-to-run set of prompts tailored to a restaurant: copy a prompt, replace the bracketed details, and paste it into ChatGPT, Claude, or Gemini.
Overview
The Data Analytics Toolkit for Restaurant & Food turns a blank chat box into 6 starting points for Restaurant & Food teams. Among them: “Cohort/retention analysis”, “Report narrative” and “SQL from a question”. Together they cover a workflow end to end, but each prompt also stands on its own. Use them in ChatGPT, Claude and Gemini; the [bracketed] placeholders show you exactly what to swap in.
What’s inside
(6)1.SQL from a question
Act as a data analyst for a restaurant (Restaurant & Food). Given this schema [paste schema], write SQL to answer: [business question]. Explain the query. Replace the [bracketed] parts with your own details before running the prompt.
2.Spreadsheet formulas
Write the spreadsheet formulas a restaurant needs to [calculate metric] from columns [describe columns], and explain each. Replace the [bracketed] parts with your own details before running the prompt.
3.KPI dashboard plan
Design a KPI dashboard for a restaurant in Restaurant & Food: which metrics, how they're calculated, and what decisions each drives. Replace the [bracketed] parts with your own details before running the prompt.
4.Analyze a dataset
You are analyzing a restaurant's [dataset]. Summarize the key trends, anomalies, and 3 actionable insights for a Restaurant & Food business. Replace the [bracketed] parts with your own details before running the prompt.
5.Cohort/retention analysis
Outline how a restaurant should run a cohort and retention analysis for Restaurant & Food customers, including the metrics and SQL approach. Replace the [bracketed] parts with your own details before running the prompt.
6.Report narrative
Turn these numbers into a clear narrative for a restaurant leadership in Restaurant & Food: [paste metrics]. Lead with the takeaway. Replace the [bracketed] parts with your own details before running the prompt.
How to use this pack
Step 1
Pick a prompt
Start with “SQL from a question”, or scan the 6 prompts below for the one that matches your task.
Step 2
Copy it
Use the Copy button on any prompt — or “Copy all 6 prompts” — to grab the full text.
Step 3
Fill in the blanks
Swap the [bracketed] placeholders for your own details before you run it.
Step 4
Run and refine
Paste it into ChatGPT, then ask for adjustments until the result fits Restaurant & Food teams.
Who it’s for
- Small teams standardizing how they use AI day to day
- Restaurant & Food founders, marketers and operators
- Teams and freelancers working in Restaurant & Food
Tips for better results
- Replace every [bracketed] placeholder before you run a prompt — the more specific your inputs, the better the output.
- If the first result isn't right, don't rewrite the prompt — just reply with what to change ("make it shorter", "more formal", "add examples").
- Paste in real context (a URL, your notes, a previous draft) so the model works from your material, not generic assumptions.
- Ask the model to give you 3 options, then combine the best parts of each.
Source: Prompt Platform (original) · Original content
Frequently asked questions
Is the Data Analytics Toolkit for Restaurant & Food free to use?
Yes. All 6 prompts in this pack are free to read, copy and use — including for commercial work. PromptsVault is ad-supported, with no account, checkout or paywall.
Which AI models do these prompts work with?
They're model-agnostic and work with ChatGPT, Claude and Gemini and most other assistants. Copy a prompt and paste it into whichever tool you prefer.
How many prompts are included?
6 prompts. They're original PromptsVault content.
Do I need to know prompt engineering?
No. Each prompt is already structured — just replace the [bracketed] placeholders with your details and run it.
Can I use these prompts for Restaurant & Food?
Yes — they're tailored to Restaurant & Food teams, and every placeholder can be adapted to your exact Restaurant & Food use case.
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