Use when you need to turn interviews, notes, or stakeholder inputs into structured analysis.
Full Discovery Chain 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 combines the main discovery activities into one end-to-end workflow, from stakeholder analysis through requirements and summary.
Step 1: Stakeholder analysis โ identify all stakeholders, their influence/interest levels, primary concerns, and engagement strategy. Step 2: Current state documentation โ describe the as-is process, systems, data flows, and pain points based on the provided inputs. Step 3: Future state vision โ define the desired outcomes, success criteria, and high-level capabilities needed. Step 4: Gap analysis โ identify the gaps between current and future state, scored by impact and effort. Step 5: Requirements extraction โ convert gaps and stakeholder needs into structured business and functional requirements with MoSCoW priorities. Step 6: Risks and assumptions โ list the top 5 risks to successful delivery and the key assumptions being made. For each risk: likelihood, impact, and mitigation strategy. Step 7: Discovery summary โ write a 1-page discovery report: problem statement, proposed solution direction, requirements summary, open questions, and recommended next steps.
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 step-by-step deliverable that follows the sequence in the prompt and clearly labels each stage. Each step should build on the previous one, with concise assumptions where information is missing and explicit flags where clarification is needed. The final section should synthesize the work into an executive-ready summary, recommendation, or document that could be shared directly with stakeholders.
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 Full Discovery Chain 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 advanced, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Full Discovery Chain is a chain. 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.