Use when you need to turn interviews, notes, or stakeholder inputs into structured analysis.
Requirements Extraction AI Prompt
This prompt helps business analysts turn messy project inputs into structured discovery outputs. It is designed for the early phase of an initiative when the team still needs clarity on needs, scope, stakeholders, constraints, and direction. Use it to move from conversations and assumptions to something documented, reviewable, and ready for decision-making or backlog creation. It is especially useful for turning raw notes into traceable requirements with priorities, sources, and open questions.
Extract and structure the business requirements from the following input: {{input}} (meeting notes, email thread, or stakeholder interview transcript).
1. Identify and separate:
- Business requirements: what the business needs to achieve (outcomes)
- Functional requirements: what the system or process must do
- Non-functional requirements: performance, security, compliance constraints
- Out of scope: what was explicitly excluded
2. For each requirement write:
- Unique ID (BR-001, FR-001, etc.)
- Clear one-sentence statement in the format: 'The system/process shall [action] so that [business outcome]'
- Priority: Must Have / Should Have / Nice to Have (MoSCoW)
- Source: who requested it
- Open questions that need clarification before this requirement can be finalized
3. Flag any conflicting requirements between stakeholders
Return a structured requirements table and a list of open questions to resolve in the next session.When to use this prompt
Use at the start of a project, discovery phase, or process improvement initiative.
Use when scope, stakeholder needs, or future-state direction is still unclear.
Use when you need an artifact that can be reviewed in a workshop or planning session.
What the AI should return
The AI should return a structured analysis in business analyst language, with clear headings, tables, and a short list of assumptions or open questions. The response should separate facts from inferred items, highlight conflicts or ambiguities, and make the output easy to review with stakeholders. Where prioritization or categorization is requested, it should be explicit and consistent.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Requirements and Discovery.
Frequently asked questions
What does the Requirements Extraction prompt do?+
It gives you a structured requirements and discovery starting point for business analyst work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for business analyst workflows and marked as beginner, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Requirements Extraction is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are As-Is Process Interview Guide, Business Rules Extraction, Feasibility Assessment.