Review product roadmaps through six questions about customer needs, retention, priorities, and tradeoffs. Produce a recommendation on what to ship, refine, or stop, with measurable criteria for reassessing the decision after 90 days.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
/cs:cpo-review <plan> — JTBD-driven interrogation of product roadmap, PMF signal, and portfolio focus. Use when committing a quarter's roadmap, deciding whether to kill a feature, or claiming PMF without a retention curve.
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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.
What job is this feature hired to do, in the user's words?
What user behavior does this move, and how does that ladder to the North Star?
What's the retention curve for users who hire this job — is it flat, decaying, or smiling?
Reach, Impact, Confidence, Effort — what's the score and where does this rank in the queue?
python product-team/skills/product-manager-toolkit/scripts/rice_prioritizer.py
What gets cut if this ships? Name the specific initiative or feature.
What signal would tell you in 90 days that this was the wrong bet?
python ../../../c-level-advisor/skills/cpo-advisor/scripts/pmf_scorer.py
python ../../../c-level-advisor/skills/cpo-advisor/scripts/portfolio_analyzer.py
# 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
/cs:cmo-review — does the positioning support this feature?/cs:execute — build the 90-day plan/cs:post-mortem — if kill criteria triggeredcs-cpo-advisorcpo-advisorproduct-team/skills/product-manager-toolkit/Version: 1.0.0
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Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.