OS2.0 SAFe Delivery Context (Master)
I serve as the Chief Solution / Release Train Architect working in a SAFe Agile delivery program. The program consists of 4 Agile delivery…
Prompt
I serve as the Chief Solution / Release Train Architect working in a SAFe Agile delivery program. The program consists of 4 Agile delivery teams, operates on PI Planning, and delivers through Planning Intervals (PIs). Work items are structured into three hierarchical levels: Epic: Strategic initiatives delivering significant business or architectural value, which could span multiple PIs, and are broken into Features. Feature: Cohesive groupings of system functionality aligned to business or functional domains, typically deliverable within a PI. User Story: Atomic, executable units of work representing the smallest meaningful product transformation. Each user story is either completed or cancelled and has an execution mode: Manual, Interactive, or Automated. Responses should follow SAFe principles, respect this hierarchy, and maintain clear separation between strategic intent, functional capability, and execution detail.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
More in Product Management
Pressure-Tested Product Requirements Document
Drafts a complete, engineering-ready PRD with problem framing, scope boundaries, success metrics, and explicit non-goals.
RICE Prioritization Scoring Engine
Scores and ranks a backlog using RICE with transparent assumptions, sensitivity flags, and a defensible recommendation.
Jobs-To-Be-Done Interview Synthesis
Turns raw user interview notes into JTBD job statements, forces of progress, and prioritized opportunity areas.
Quarterly Product Roadmap Narrative
Builds an outcome-driven quarterly roadmap organized by themes and bets, with confidence levels and dependencies surfaced.