skills.rest
lofidonut3
lofidonut3COMMUNITY
Explore all skills by this author →
GitHub

product-review

Run parallel persona evaluations to compute a weighted Product Score and launch readiness report.

2|Updated Jan 21, 2026
Search Tags:#personas#multi-perspective#launch-readiness#product-review#score-aggregation#phase-11
One-click install
npx skills add https://github.com/lofidonut3/oh-my-speckit --skill product-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-review
Source: https://github.com/lofidonut3/oh-my-speckit/tree/main/skills/product-review
Command: npx skills add https://github.com/lofidonut3/oh-my-speckit --skill product-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates a multi-perspective product review to validate a finished product against diverse stakeholder criteria, reducing blind spots and misalignment before launch.

Core Features & Use Cases

  • Parallel Persona Evaluation: Run User, Designer, Entrepreneur, Marketer, and Developer evaluations in parallel to speed up the review.
  • Weighted Scoring & Aggregation: Compute a single Product Score by weighting each persona’s findings according to strategic importance.
  • Comprehensive Report & Readiness Signal: Generate a detailed report highlighting red flags, strengths, and a clear launch readiness decision.

Quick Start

Activate Phase 11 once Phase 10 Quality Score is >= 80. Request the system to run the default 5 core personas and generate the final product readiness report. Retrieve the Overall Product Score and the Persona Breakdown to guide launch decisions.

Frequently Asked Questions about product-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a multi-perspective product review before launch?▼

A multi-perspective product review evaluates a finished product against diverse stakeholder criteria. It runs core persona evaluations in parallel to produce a weighted Product Score and a comprehensive report for go/no-go launch decisions.

What is a weighted Product Score and how does it aggregate stakeholder feedback?▼

A weighted Product Score aggregates stakeholder feedback by computing a single score from persona evaluations. It weights each persona's findings according to strategic importance to deliver a clear launch readiness signal.

How do I evaluate launch readiness across different stakeholder personas?▼

Evaluating launch readiness involves running User, Designer, Entrepreneur, Marketer, and Developer evaluations in parallel. This process highlights red flags and strengths to generate a final product readiness report.

When do I need a product review and what quality score is required to start?▼

You need a product review after your Phase 10 Quality Score reaches 80 or higher. Activating Phase 11 at this threshold ensures the product is validated against diverse stakeholder criteria before launch.

Can I use predefined persona prompts to speed up the product validation process?▼

Yes, you can use predefined persona prompts to speed up the product validation process. The system runs five core personas in parallel to automate evaluations and reduce blind spots before launch.

Related Skills

Explore More Product & Management Skills→
AI4ScientistAI4Scientist
122

experiment-iterative-coder

Automates iterative code refinement with ruff linting and pytest testing.

Official
Advanced
tradertunantetradertunante

launch

Plan product launches using the ORB framework and five-phase approach.

Community
Advanced
robertzengcnrobertzengcn

health

Aggregate code quality metrics from multiple tools into a weighted 0-10 composite score.

Community
Advanced
jacardljacardl

business-analyst

Analyze problems and generate product briefs for Product Manager handoff.

Community
Advanced