Use when a framed and root-caused problem needs its assumptions made explicit before design or planning begins — explicit Assumptions, Unknowns, and a Validation plan. This should trigger when an issue's Assumption Analysis point of view needs evaluation, or when a maintainer directly asks to surface hidden assumptions and unknowns before committing to an approach. Part of Plinth Toolkit
Scanned 9/2/2026
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---
name: 023-assumption-analysis
description: Use when a framed and root-caused problem needs its assumptions made explicit before design or planning begins — explicit Assumptions, Unknowns, and a Validation plan. This should trigger when an issue's Assumption Analysis point of view needs evaluation, or when a maintainer directly asks to surface hidden assumptions and unknowns before committing to an approach. Part of Plinth Toolkit
license: Apache-2.0
metadata:
author: Juan Antonio Breña Moral
version: 0.18.0
---
# Assumption Analysis
Guide production of explicit Assumptions, a list of Unknowns, and a Validation plan for a problem under exploration. **This is an interactive SKILL**.
**What is covered in this Skill?**
- Surfacing assumptions implicit in the problem frame and root-cause findings
- Distinguishing an assumption (believed true, not yet verified) from an unknown (not yet known either way)
- Ranking assumptions and unknowns by impact and confidence
- Defining a validation plan that names how and when each risky assumption or unknown will be checked
- Feeding assumption and unknown findings into `024-context-mapping` and the remaining Functional Specification lenses
## Constraints
Make assumptions and unknowns explicit before they become undiscussed risk. When this technique is orchestrated by another workflow, the orchestrator owns clarifying-question sequencing; when applied standalone, ask directly.
- **MUST** read `references/023-assumption-analysis.md` before applying Assumption Analysis guidance
- **MUST** state each assumption as a falsifiable claim believed true but not yet verified
- **MUST** distinguish assumptions (believed true) from unknowns (not yet known either way)
- **MUST** rank assumptions and unknowns by impact if wrong and by current confidence
- **MUST** define a validation plan naming how and when each high-impact, low-confidence assumption or unknown will be checked
- **MUST NOT** invent an assumption, unknown, or validation step when the available content is vague or ambiguous; flag the gap for a clarifying question instead
## When to use this skill
- Surface the assumptions behind this problem
- List the unknowns for this issue
- Build a validation plan for these assumptions
- Apply assumption analysis before design begins
- Draft the Assumption Analysis section of a Functional Specification
## Workflow
1. **Read the Reference**
Read `references/023-assumption-analysis.md`, then review the problem frame and root-cause findings for implicit beliefs.
2. **Surface Explicit Assumptions**
State each assumption as a falsifiable claim believed true but not yet verified.
3. **List Unknowns**
List facts that are not yet known either way, distinct from assumptions.
4. **Rank by Impact and Confidence**
Rank assumptions and unknowns by impact if wrong and by current confidence, prioritizing high-impact, low-confidence items.
5. **Define the Validation Plan**
Name how and when each high-priority assumption or unknown will be validated.
6. **Report the Assumption Analysis**
Report the Assumptions, Unknowns, and Validation plan, and flag any item left open pending a clarifying answer.
## Reference
For detailed guidance, examples, and constraints, see [references/023-assumption-analysis.md](references/023-assumption-analysis.md).
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