success-metrics-evaluation

Compare delivery artefacts against success metrics and acceptance criteria to generate gap analysis reports.

Updated Mar 8, 2026
One-click install
npx skills add https://github.com/petrSimonidesXart/xPmGateway --skill success-metrics-evaluation-petrsimonidesxart
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: success-metrics-evaluation
Source: https://github.com/petrSimonidesXart/xPmGateway/tree/main/.gaai/core/skills/cross/success-metrics-evaluation
Command: npx skills add https://github.com/petrSimonidesXart/xPmGateway --skill success-metrics-evaluation-petrsimonidesxart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Verify that delivered work creates real business and technical impact by measuring outcomes against predefined success metrics and acceptance criteria.

Core Features & Use Cases

  • Map delivery artefacts to defined success metrics from the PRD or backlog
  • Collect runtime/usage data and compare it against targets to determine KPI attainment
  • Generate actionable reports: metric_results, story_level_success_report, gap_analysis, and improvement_recommendations
  • Use case: post-delivery validation and governance to inform backlog refinement

Quick Start

Provide the delivery artefacts, metrics, and usage data, then run the evaluation to generate the success metrics report.

Frequently Asked Questions about success-metrics-evaluation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate delivery outcomes against predefined success metrics and acceptance criteria?

To evaluate delivery outcomes, compare delivered artefacts and runtime usage data against predefined success metrics. This generates metric results, gap analysis, and improvement recommendations to determine actual KPI attainment.

How do I perform a gap analysis on KPI attainment after project delivery?

Perform a gap analysis on KPI attainment by comparing runtime usage data against targets defined in your PRD. This identifies shortfalls in delivered features and generates actionable improvement recommendations for backlog refinement.

What is the best way to verify post-delivery impact using runtime data and artefacts?

The best way to verify post-delivery impact is to map delivery artefacts to defined success metrics and compare them against collected runtime data, ensuring delivered work creates real business and technical value.

Can I redefine success metrics post-delivery to improve KPI evaluation results?

You cannot redefine success metrics post-delivery. KPI evaluation requires comparing artefacts and usage data against the original acceptance criteria defined before delivery to ensure accurate and unbiased gap analysis.

What reports are needed to measure story-level success and identify metric gaps?

Measuring story-level success requires generating a story_level_success_report and a metric_results output. These reports map delivery artefacts to targets and highlight gaps to inform subsequent backlog refinement.

Does success metrics evaluation work without runtime usage data?

Success metrics evaluation does not work without runtime usage data. It requires actual usage metrics to compare against predefined acceptance criteria to determine KPI attainment and identify delivery gaps.