AWS Working Backwards¶
Amazon's Working Backwards methodology starts with the customer and works backward to the solution. It emphasizes writing as thinking, with the PR/FAQ and 6-Pager as core artifacts.
Profile Variants¶
Both profiles start the same way — with the human-authored Press Release, the founding artifact of Working Backwards. Amazon classifies decisions by reversibility (one-way vs. two-way doors), not by a product/feature taxonomy — so the profiles are named by the door. The door sets the ceremony; the scale picks the deepening tool (both are optional in both profiles):
| Profile | Founding Document | Ceremony | Typical For |
|---|---|---|---|
aws-one-way-door |
Press Release | 6-pager decision narrative required; formal decision meeting gates build spend | Hard-to-reverse bets: new product lines, public commitments, major investments |
aws-two-way-door |
Press Release | Iterative PR/FAQ review is the only formal gate; 6-pager optional | Reversible bets: features, experiments, incremental improvements |
Optional post-FAQ deepening in either profile: MRD (market validation — typical at product scale) or OpportunitySpec (discovery canvas — typical at feature scale). For the latter, see OpportunitySpec Framework.
The Flow¶
One-Way Door Flow (PR/FAQ Start)¶
Two-Way Door Flow (PR/FAQ Start)¶
Key Principles¶
- Customer Obsession: Start with the customer and work backwards
- Write First: Document the vision before building
- PR/FAQ: Write the press release announcing the product's launch
- Challenge Assumptions: Use FAQ to surface gaps and concerns
- Narrative-Driven: Use 6-pagers for decision-making
- Iterate: The PR/FAQ goes through many drafts — iteration is the method, not a failure of the first pass
AI-Native Working Backwards¶
The methodology's division of labor maps cleanly onto AI-native building — and gets stronger, because AI makes the expensive parts of authenticity cheap:
| Working Backwards element | Who does it | Why |
|---|---|---|
| Press Release | Human | The vision seed — taste and intent are the inputs AI cannot supply. Written first, by hand, on purpose. |
| FAQ | Agents synthesize, human curates | Agents research the market, competitors, and constraints to stress-test the PR's claims; the human decides which answers survive. |
| Desirability evidence | Agents build, humans watch users | A clickable demo of the announced experience (hardcoded data, no backend) is minutes of agent work. Attach it to the PR appendix — "watch people try it" beats "we believe." |
| Feasibility evidence | Agents spike | The FAQ's "can we build it?" answers cite a vertical-slice proof-of-concept against real data — hours of agent work now, not weeks. Assertion-free feasibility. |
| Evaluation | LLM-as-a-Judge | Each document is scored against the profile's leadership-principle rubrics between drafts, so iteration has a feedback signal cheaper than a review meeting. |
| PR/FAQ review, decision meeting | Human | The gates stay human. The 6-pager review is the one-way-door judgment call — precisely the decision AI evidence can inform but not make. |
Two disciplines keep this honest:
- Label the evidence. AI makes artifacts look real for free, so every appendix item is marked by what it proves — a mockup illustrates, a demo tests desirability, a spike proves feasibility. Never let a facade cash a working-system claim.
- Iterate before the gate, not after. Cheap synthesis and cheap evaluation mean the PR/FAQ can go through its ten drafts in days. Spend the iterations where Amazon always did — on the vision documents — so the one-way-door meeting decides on a hardened narrative, and the post-gate build (UXD, TRD, TPD) starts from settled intent.
VisionSpec Mapping¶
| AWS Artifact | VisionSpec Type | Purpose |
|---|---|---|
| Press Release | Press | Founding artifact — human-authored vision announcing the solution; written first |
| FAQ | FAQ | Challenges claims, surfaces gaps; absorbs the business case |
| Business Case deep-dive | MRD (optional) | Post-FAQ market validation when the risk warrants it (Amazon has no MRD; the FAQ carries the case) |
| PRFAQ Combined | PRD | Product requirements derived from narrative |
| 6-Pager | Narrative | Decision document for the one-way-door gate |
| Design Doc | TRD | Technical architecture |
| Test Plan | TPD | Test cases, automation, quality gates |
| Ops Review | IRD | Infrastructure and operations |
Using the aws-one-way-door Profile¶
Initialize a Project¶
Write the Press Release (Founding Artifact)¶
The press release is human-authored — it is the vision seed, not a synthesis product. Write it first; everything else works backward from it.
Synthesize Working Backwards Documents¶
# Generate FAQ challenging the Press Release
multispec synthesize faq -p my-product
# Optional: deepen the FAQ's business case with market validation
# (or `synthesize opportunity-spec` for the feature-scale discovery canvas)
multispec synthesize mrd -p my-product
# Generate PRD from Working Backwards artifacts
multispec synthesize prd -p my-product
# Generate 6-Pager Narrative for the decision gate
multispec synthesize narrative-6p -p my-product
# Generate technical specs (post-gate)
multispec synthesize trd -p my-product
multispec synthesize tpd -p my-product # Test plan
multispec synthesize ird -p my-product # Infrastructure
Evaluate Documents¶
# Evaluate Press Release against Leadership Principles
multispec eval press -p my-product
# Check readiness
multispec status -p my-product
Templates¶
Press Release Template¶
The Press Release template includes:
- Headline: One sentence capturing customer benefit
- Subheadline: Target customer and key value
- Problem: Customer pain point
- Solution: How the product solves it
- Quote (Spokesperson): Internal vision
- Customer Journey: How to get started
- Quote (Customer): External validation
- Call to Action: Next steps
FAQ Template¶
The FAQ template covers:
- Customer Questions: What customers will ask
- Internal Questions: Stakeholder concerns
- Technical Questions: Implementation challenges
- Business Questions: Market and financial viability
6-Pager Template¶
The 6-Pager template follows Amazon's structure:
- Introduction and context
- Goals and tenets
- State of the business
- Lessons learned
- Strategic priorities
- Appendix with data
Rubric Categories¶
Each document type carries its own LLM-as-a-Judge rubric (structured-evaluation format), grounded in the Amazon Leadership Principles — all 16 are carried in the profiles' methodology metadata, and the most judgeable teachings are encoded as rubric categories: economic sustainability in the press rubric (Customer Obsession includes economics), disconfirmation rigor in the FAQ rubric (Are Right, A Lot: work to disconfirm; Earn Trust: vocally self-critical), the ownership horizon in the 6-pager rubric (the personal-money test), and door-specific decision-reversibility criteria in the PRD rubric (Bias for Action). Cross-cutting themes:
| Category | Weight | Description |
|---|---|---|
| Working Backwards Fidelity | 20% | Starts with customer, not technology |
| Customer Clarity | 20% | Specific customer segment and problem |
| Decision Reversibility | 15% | Two-way vs one-way door decisions |
| Bias for Action | 15% | Speed of execution considered |
| Long-Term Thinking | 15% | Sustainable competitive advantage |
| Frugality | 10% | Resource efficiency |
| Deep Dive | 5% | Data-driven analysis |
Example Workflow (aws-one-way-door)¶
# 1. Initialize project
multispec init checkout-redesign --profile aws-one-way-door
# 2. Human writes the Press Release — the founding artifact
multispec draft press -p checkout-redesign
# ... iterate on the announced customer experience ...
multispec eval press -p checkout-redesign
multispec approve press -p checkout-redesign
# 3. Synthesize FAQ to stress-test the press release
multispec synthesize faq -p checkout-redesign
multispec eval faq -p checkout-redesign
multispec approve faq -p checkout-redesign
# 4. Optional: deepen the business case with market validation
# (or `synthesize opportunity-spec` for the feature-scale discovery canvas)
multispec synthesize mrd -p checkout-redesign
# 5. Synthesize PRD from Working Backwards artifacts
multispec synthesize prd -p checkout-redesign
multispec eval prd -p checkout-redesign
# 6. Generate 6-Pager for the one-way-door decision meeting
multispec synthesize narrative-6p -p checkout-redesign
# 7. Post-gate: human authors UXD
multispec draft uxd -p checkout-redesign
# 8. Synthesize TRD
multispec synthesize trd -p checkout-redesign
# 9. Check status
multispec status -p checkout-redesign
Reference Materials¶
For deeper understanding of AWS Working Backwards methodology, see:
- AWS Leadership Principles
- Working Backwards by Colin Bryar and Bill Carr
See Also¶
- OpportunitySpec Framework - For feature-level opportunities