# Success Metrics Evaluation

> Evaluate delivery outcomes against defined success metrics and acceptance goals. Activate after Delivery to verify that delivered work creates real business and technical impact, not just output.

- Skill: `fr-e-d/success-metrics-evaluation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add fr-e-d/success-metrics-evaluation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fr-e-d/success-metrics-evaluation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: ELv2
- Author: Fr-e-d (https://skillmd.com/u/fr-e-d)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/fr-e-d/success-metrics-evaluation

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# Success Metrics Evaluation

## Purpose / When to Activate

Activate after Delivery to verify outcomes, not just outputs. Prevents "output without outcome."

Use when:
- Success metrics were defined in the PRD or Story
- Delivery is complete and runtime data is available
- Objective quality gates are required

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## Process

1. Map each Story to its defined success metrics
2. Measure artefacts and runtime results against targets
3. Detect underperformance and partial success
4. Generate actionable improvement insights

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## Outputs

- Story-by-story KPI report
- Metric vs target comparisons
- Identified gaps with root signals
- Improvement suggestions linked to backlog items

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## Quality Checks

- Each metric is measured against a defined target
- Gaps are identified with root cause signals
- Recommendations are linked to specific backlog items
- No invented metrics — only those defined in artefacts

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## Non-Goals

This skill must NOT:
- Redefine success metrics post-delivery
- Make product decisions about gaps
- Substitute for `qa-review`

**Ensures delivery creates real impact. Makes scaling predictable.**

