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Define and track product metrics — North Star metric, input/output metrics, KPIs with targets. Creates metrics.json for the Command Center. Use when user says "/pm-metrics", "define metrics", "what should we track", "set KPIs", or needs to establish a measurement framework.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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Add an optional panel or module to the Command Center. Available modules include competitive tracking, content calendar, revenue dashboard, launch tracker, and custom panels. Use when user says "/pm-add-module", "add a panel", "add module", or wants to customize their Command Center.
Competitive analysis framework. Research competitors, map feature gaps, identify differentiation, and track competitive moves. Use when user says "/pm-competitive", "competitive analysis", "who are our competitors", "how do we compare to X", or needs market positioning insights.
Log and classify a product decision using Type 1 (irreversible) / Type 2 (reversible) framework. Captures context, options, trade-offs, and deadline. Updates Command Center and decision log. Use when user says "/pm-decision", "I need to decide", "should we X or Y", or mentions a strategic choice.
| name | pm-metrics |
| description | Define and track product metrics — North Star metric, input/output metrics, KPIs with targets. Creates metrics.json for the Command Center. Use when user says "/pm-metrics", "define metrics", "what should we track", "set KPIs", or needs to establish a measurement framework. |
Define your North Star, input metrics, and KPI targets.
Ask:
Guide toward a metric that is:
Examples by product type:
Build a metrics tree:
North Star: Weekly Active Users
├── Input: New signups/week (acquisition)
├── Input: Activation rate (% complete onboarding)
├── Input: D7 retention (stickiness)
├── Output: Revenue/user (monetization)
└── Guardrail: Support tickets/user (quality)
For each metric:
{
"north_star": {
"name": "Weekly Active Users",
"current": 1240,
"target": 2000,
"target_date": "2026-06-30",
"frequency": "weekly"
},
"kpis": [
{
"name": "DAU",
"current": 1240,
"target": 2000,
"trend": "up",
"category": "engagement",
"source": "analytics"
}
],
"input_metrics": [...],
"guardrails": [...],
"last_updated": "2026-04-11"
}
The brief engine reads metrics.json automatically:
Suggest a tracking schedule:
Offer to schedule automated metric collection if data sources have APIs.
/pm-metrics update DAU 1350
Quick update a single metric value. Timestamps automatically.