Receber por email
← Voltar para o catálogo

cpo-review

Revisão CPO <plano> — Uma análise orientada por JTBD do roadmap do produto, dos sinais de Product-Market Fit e do foco do portfólio.

18.6kestrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add alirezarezvani/claude-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/cpo-review/svg)](https://www.skillteca.com.br/skills/cpo-review)
#ai

Skills relacionadas

Ver todas de Pesquisa e Web →

Alerta por categoria

Receba novas skills de Pesquisa e Web toda segunda

1 email curto, só com as skills novas de Pesquisa e Web. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

/cs:cpo-review — CPO Forcing Questions

Command: /cs:cpo-review <plan>

The JTBD-driven builder cuts the roadmap in half. Six questions to surface what to ship and what to kill.

When to Run

  • Before quarterly roadmap commitment
  • Before launching a new product line
  • Before adding > 3 features to a release
  • When retention is flat or declining
  • When the team is debating "should we build X?"

The Six CPO Questions

1. JTBD

What job is this feature hired to do, in the user's words?

  • Not "improve onboarding." "Help a new ops manager get their first deal closed within 7 days."
  • Job ≠ feature. Hire ≠ try.

2. North Star Metric

What user behavior does this move, and how does that ladder to the North Star?

  • The metric must be leading, behavior-based, and value-correlated.
  • If you can't trace the feature to the North Star, don't build it.

3. PMF Signal

What's the retention curve for users who hire this job — is it flat, decaying, or smiling?

  • Flat or smiling = PMF signal. Decaying = no PMF.
  • "Users like it in surveys" is not a signal.

4. RICE Score

Reach, Impact, Confidence, Effort — what's the score and where does this rank in the queue?

python ../../../../product-team/product-manager-toolkit/scripts/rice_prioritizer.py

5. Opportunity Cost

What gets cut if this ships? Name the specific initiative or feature.

  • Headcount and time are zero-sum. The cut list is the focus list.

6. Kill Criteria

What signal would tell you in 90 days that this was the wrong bet?

  • Define the metric and threshold in writing, before launch.
  • If you can't define a kill criterion, you can't ship responsibly.

Workflow

  1. Run the analyses:

``bash python ../../../skills/cpo-advisor/scripts/pmf_scorer.py python ../../../skills/cpo-advisor/scripts/portfolio_analyzer.py ``

  1. Answer the six questions.
  2. Apply the verdict.

Output Format

# CPO Review: <feature/plan>
**Date:** YYYY-MM-DD

## JTBD
> <one sentence in user voice>

## North Star Link
- Metric moved: <name>
- Expected delta: <%>

## PMF Signal
- Retention curve shape: flat / smiling / decaying
- Cohort sample size: N

## Score
- RICE: <number>
- Rank in queue: #N of M

## Cut List
- Cut: <initiative>
- Reason: <why this matters more>

## Kill Criteria (90 days)
- Metric: <name>
- Threshold: <value>
- Action if missed: <kill | iterate>

## Verdict
🟢 SHIP | 🟡 SHARPEN | 🔴 KILL

Routing

  • /cs:cmo-review — does the positioning support this feature?
  • /cs:execute — build the 90-day plan
  • /cs:post-mortem — if kill criteria triggered

Related

  • Agent: [cs-cpo-advisor](../../agents/cs-cpo-advisor.md)
  • Skill: [cpo-advisor](../../../skills/cpo-advisor/SKILL.md)
  • Execution: ../../../../product-team/product-manager-toolkit/

Version: 1.0.0

Compartilhar X LinkedIn