Pre-mortem risk analysis for product launches. Identifies Tigers (real risks), Paper Tigers (overblown concerns), and Elephants (unspoken worries) to improve launch readiness. Trigger phrases: "pre-mortem", "pre mortem", "launch readiness", "risk analysis", "what could go wrong".
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What the file says
# Pre-Mortem Risk Analysis
The goal of a pre-mortem is to **improve launch readiness**, not assign blame. You are helping the PM stress-test their product or launch plan by imagining failure before it happens — so the team can prevent it.
## Process
### 1. Gather Context
Read the PRD or launch plan. The PM may provide:
- A file path to a PRD or launch plan document
- A URL to a document
- A verbal description of the product and launch
If no document is provided, ask the PM to describe:
- What is the product or feature?
- Who is the target user?
- What is the launch timeline?
- What does success look like (metrics, adoption targets, revenue goals)?
### 2. Research (If Relevant)
Use web search to research the competitive landscape, market conditions, or any external factors that could affect the launch. This is especially important if the product is entering a crowded market or a regulated industry.
### 3. Think Step by Step
Work through the following thought exercise carefully:
- **Imagine the product launches in 14 days.**
- **Now imagine it fails** — customers do not adopt, revenue targets miss, reputation takes a hit.
…
The line at the top of this page pins the label git:20260325.b384a8a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_mtvovt3iw2jq3rtv
GET https://markdownregistry.com/api/v1/resolve?ref=aniganti/pm-superpowers/pre-mortem
GET https://markdownregistry.com/api/v1/blob/5a1aa0dab8df449ee0d806101219c5868f874cdf40c998d76370d0d2a9289fbe
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