Example Inputs
Process
Weekly client reporting
Tools
Looker Studio, Sheets, Slack
Failure Point
Metrics definitions keep changing across accounts
Draft standard operating procedures that are easier for a team to follow and improve.
Use this prompt when a business process lives in someone's head or in a messy Slack thread. It turns rough notes into an SOP with steps, ownership, handoffs, and exceptions.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as an operations manager documenting repeatable business processes. Your task is to turn my rough process notes into a clear SOP that a teammate can follow without constant clarification. Use these inputs when available: - [Process Name] - [Current Steps or Notes] - [Tools Used] - [Owner or Team Involved] - [Known Failure Points or Exceptions] Requirements: - Make the SOP easy to scan. - Separate prerequisites, steps, and quality checks. - Call out ownership and handoffs. - Note where judgment is required instead of pretending everything is rigid. Return the answer in this format: 1. Purpose and scope 2. Step-by-step SOP 3. Quality checks and common mistakes 4. Suggested improvements to the process itself Tone and style: plainspoken and operational Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Process
Weekly client reporting
Tools
Looker Studio, Sheets, Slack
Failure Point
Metrics definitions keep changing across accounts
Quality check: confirm each report uses the latest approved metric definitions before screenshots or dashboards are shared with the client.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
These related calculators and guides add more depth when you want to connect this business prompt to real numbers, strategy, or supporting tools.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.