An edge cases document systematically catalogs the unusual, boundary, and error scenarios for a feature. While happy-path flows are typically well-specified, edge cases often get discovered in production — causing bugs, poor user experience, and support burden. Documenting edge cases upfront ensures engineering handles them intentionally and QA knows what to test.
Scanned 2/12/2026
Install via CLI
openskills install product-on-purpose/pm-skills<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
---
name: deliver-edge-cases
description: Documents edge cases, error states, boundary conditions, and recovery paths for a feature. Use during specification to ensure comprehensive coverage, or during QA planning to identify test scenarios.
phase: deliver
version: "2.0.0"
updated: 2026-01-26
license: Apache-2.0
metadata:
category: specification
frameworks: [triple-diamond, lean-startup, design-thinking]
author: product-on-purpose
---
# Edge Cases
An edge cases document systematically catalogs the unusual, boundary, and error scenarios for a feature. While happy-path flows are typically well-specified, edge cases often get discovered in production — causing bugs, poor user experience, and support burden. Documenting edge cases upfront ensures engineering handles them intentionally and QA knows what to test.
## When to Use
- During feature specification before engineering begins
- When preparing QA test plans
- After discovering production bugs to prevent similar issues
- When reviewing PRDs or user stories for completeness
- Before launch to ensure error states have been designed
## Instructions
When asked to document edge cases, follow these steps:
1. **Define the Feature Scope**
Clearly describe what feature or flow you're analyzing. Edge cases are specific to context — the same input might be valid in one feature and invalid in another.
2. **Walk Through Input Validation**
Consider every user input: What if it's empty? Too long? Wrong format? Contains special characters? What are the minimum and maximum valid values?
3. **Explore Boundary Conditions**
Find the edges of acceptable ranges. If a field accepts 1-100, test 0, 1, 100, and 101. Consider pagination boundaries, timeout thresholds, and rate limits.
4. **Map Error States**
Identify what can go wrong: network failures, permission denied, resource not found, concurrent modifications, expired sessions. Document both the scenario and expected behavior.
5. **Consider Concurrency Issues**
What if two users act simultaneously? What if the user double-clicks? What if data changes between load and save? Race conditions often cause subtle bugs.
6. **Define Recovery Paths**
For each error, specify how users recover. What message do they see? Can they retry? Is data preserved? Good error handling turns frustration into confidence.
7. **Prioritize by Likelihood and Impact**
Not all edge cases need the same attention. High-likelihood + high-impact cases need robust handling; rare + low-impact cases might just need graceful failure.
## Output Format
Use the template in `references/TEMPLATE.md` to structure the output.
## Quality Checklist
Before finalizing, verify:
- [ ] All user inputs have validation edge cases documented
- [ ] Boundary conditions are explicitly listed
- [ ] Network/system failure scenarios are covered
- [ ] Each error state has a defined user-facing message
- [ ] Recovery paths are specified (not just error detection)
- [ ] Edge cases are prioritized by likelihood and impact
## Examples
See `references/EXAMPLE.md` for a completed example.
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