claude-plugins/negocio/skills/product/references/metricas-produto.md

Product - Metricas de Produto

AARRR Pirate Metrics

Fase	Metrica	Target
Acquisition	Signups/semana	+20%/mes
Activation	Setup completo	> 40%
Retention	D7 retention	> 30%
Revenue	Conversion free->paid	> 3%
Referral	NPS	> 40

Product Health

Engagement

• DAU/MAU ratio (stickiness): > 20%
• Session duration: Sector-dependent
• Features usado/session: > 3

Adoption

• Time to first value: < 10 min
• Feature adoption (30 dias): > 30%
• Power users (5+ dias/semana): > 10%

Quality

• Error rate: < 1%
• Support tickets/100 users: < 5
• CSAT: > 4/5

Outcomes vs Outputs

ERRADO (Output-driven):
"Lancar 10 features este trimestre"

CERTO (Outcome-driven):
"Aumentar retention D30 de 20% para 35% (via engagement features)"

Medir:
- North Star Metric (ex: DAU/MAU)
- Leading indicators (ex: time-to-value)
- Lagging indicators (ex: churn)

Discovery - Pain Points

Perguntas a fazer:
1. O que frustra o utilizador actualmente?
2. Que workarounds usa hoje?
3. Quanto tempo/dinheiro perde com o problema?
4. Qual a frequencia do problema?
5. O que tentou fazer para resolver?

Evidencia:
- [ ] 5+ entrevistas com users
- [ ] Analytics de uso (onde abandonam?)
- [ ] Tickets de suporte relacionados
- [ ] Pesquisa concorrencia (como resolvem?)

Validation Framework

Desirability (Users querem?)

• Problem interviews (10+)
• Solution interviews (5+)
• Survey (50+ respostas)
• Prototype test (usability)
• Evidence: X% users pagaria, Y% usaria diario

Viability (Negocio faz sentido?)

• Market size (TAM/SAM/SOM)
• Revenue model claro
• Unit economics positivos
• Payback period aceitavel
• Target: ROI > 3x em 12 meses

Feasibility (Conseguimos construir?)

• Technical spike completo
• Dependencies mapeadas
• Resources disponiveis
• Timeline realista
• Risk assessment: Alto/Medio/Baixo