# Success Criteria Definition

> SOP: Define measurable success criteria for a research question

- Skill: `yogsoth-ai/success-criteria-definition` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/success-criteria-definition`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/success-criteria-definition/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/success-criteria-definition

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# Success Criteria Definition

Define measurable success criteria for a research question — what counts as "having answered this question".

## HARD-GATE

<HARD-GATE>
Input must contain: 1 research question that has passed the FINER check.
</HARD-GATE>

## Pipeline

1. **Precheck**: Has the RQ passed FINER
2. **Result type identification**: Quantitative result / qualitative result / mixed
3. **Metric definition**: What metric measures "the question was answered"
4. **Threshold setting**: What degree counts as "successfully answered"
5. **Partial success definition**: What counts as "partially answered"
6. **Failure definition**: What outcome means "the question cannot be answered"
7. **Output**: Success criteria + thresholds + partial success + failure conditions

## Output Format

```
RQ: [research question]
Success criteria:
  - Full success: [concrete conditions + thresholds]
  - Partial success: [concrete conditions]
  - Failure/inconclusive: [concrete conditions]
Measurement: [how to measure]
Timeline: [expected duration]
```