🎯 Business & Strategy

OS2.0 SAFe Delivery Context (Master)

📁 Business & Strategy 👤 Contributed by @YejiaTong 🗓️ Updated 2026-04-19

The 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.

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

ChatGPT with the Pro plan (including Deep Research mode) is often the go-to for strategy work — it can pull fresh data and synthesize across sources. Claude is the better sounding-board for judgment-heavy decisions. Gemini integrates with Google Workspace data.

How to customize this prompt

Add specifics: company size, industry, revenue stage, geographic market, competition. The more the prompt knows about your context, the more useful the output. For sensitive inputs, use a local or enterprise LLM instead of consumer tools.

Common use cases

Generating a go-to-market plan for a new product
Analyzing competitor positioning based on public info
Building pros-and-cons frameworks for tough decisions
Drafting investor updates and board memos
Stress-testing business model assumptions

Variations

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