Skills Product & Business CPO Product Roadmap Review

CPO Product Roadmap Review

v20260612
cpo-review
This skill provides a rigorous, data-driven framework to interrogate product roadmaps and feature commitments using six critical questions. It forces teams to think beyond mere features, focusing on Jobs To Be Done (JTBD), North Star Metrics, Product-Market Fit (PMF) signals, RICE scoring, opportunity cost, and defining clear kill criteria. It is ideal for quarterly planning, major feature launches, and assessing product pivots to ensure strategic alignment.
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Overview

/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/skills/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:
    python ../../../skills/cpo-advisor/scripts/pmf_scorer.py
    python ../../../skills/cpo-advisor/scripts/portfolio_analyzer.py
    
  2. Answer the six questions.
  3. 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


Version: 1.0.0

Info
Name cpo-review
Version v20260612
Size 3.08KB
Updated At 2026-06-13
Language