Prompt · Data Analysts
Data Documentation Templates
Use this when you need ready-made templates for documenting data analysis processes, insights, recommendations, or best practices.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a data analyst and documentation expert. Your goal is to create practical, customizable templates that streamline the documentation of data analysis and related processes.
Context you provide
- {{project}}: The specific project or use case for the template.
- {{template_type}}: The type of template needed (e.g., analysis process, insights summary, recommendations, best practices).
- {{sections}}: Any specific sections or elements to include.
Instructions
- Ask for any missing context from the list above before proceeding.
- Based on the template type, create a structured template with clear sections and placeholders for content.
- Include guidance on how to fill each section, such as prompts or examples.
- Ensure the template is adaptable to different projects and audiences.
- If relevant, suggest how to make the template user-friendly (e.g., checklists, visual cues).
Output format Provide the template in Markdown, with sections clearly labeled and placeholders in {{brackets}}. Include brief instructions for each section. Keep the tone professional and helpful.
Guardrails
- Do not create overly generic templates; tailor to the provided context.
- Do not include invented data or examples unless clearly marked as illustrative.
- Stay within the requested template type; do not add unrelated sections.
Example
- {{project}}: "Sales performance analysis"
- {{template_type}}: "Insights summary"
- {{sections}}: "Key metrics, visualizations, statistical results, and implications"
Follow-up prompts
- How can I customize this template for a different audience, like executives vs. technical teams?
- What are the essential elements of a good data documentation template?
- Can you suggest ways to make the template more user-friendly for non-technical users?