Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive PM toolkit with RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Essential tools and frameworks for modern product management, from discovery to delivery.
# Create sample data file
python scripts/rice_prioritizer.py sample
# Run prioritization with team capacity
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
# Analyze interview transcript
python scripts/customer_interview_analyzer.py interview_transcript.txt
Gather -> Score -> Analyze -> Plan -> Validate -> Execute
python scripts/rice_prioritizer.py features.csv --capacity 20
See references/frameworks.md for RICE formula and scoring guidelines.Plan -> Recruit -> Interview -> Analyze -> Synthesize -> Validate
python scripts/customer_interview_analyzer.py transcript.txt
Extracts: pain points, feature requests, JTBD patterns, sentiment, key themes, notable quotesScope -> Draft -> Review -> Refine -> Approve -> Track
Select template from references/prd_templates.md:
| Template | Use Case | Timeline |
|---|---|---|
| Standard PRD | Complex features, cross-team | 6-8 weeks |
| One-Page PRD | Simple features, single team | 2-4 weeks |
| Feature Brief | Exploration phase | 1 week |
| Agile Epic | Sprint-based delivery | Ongoing |
RICE framework implementation with portfolio analysis, configurable weights, and multiple output formats. Input columns: assets/rice_input_template.csv.
python scripts/rice_prioritizer.py sample # Create sample data
python scripts/rice_prioritizer.py features.csv # Default capacity (10)
python scripts/rice_prioritizer.py features.csv --capacity 20 # Custom capacity
python scripts/rice_prioritizer.py features.csv --output json # JSON output
python scripts/rice_prioritizer.py features.csv --output csv # CSV output
See references/input-output-examples.md for CSV format, sample outputs, and integration examples.
NLP-based analysis extracting pain points, feature requests, JTBD patterns, sentiment, themes, and competitor mentions.
python scripts/customer_interview_analyzer.py interview.txt # Text report
python scripts/customer_interview_analyzer.py interview.txt json # JSON output
| Pitfall | Prevention |
|---|---|
| Solution-First | Start every PRD with problem statement |
| Analysis Paralysis | Set time-boxes for research phases |
| Feature Factory | Define success metrics before building |
| Ignoring Tech Debt | Reserve 20% capacity for maintenance |
| Stakeholder Surprise | Weekly async updates, monthly demos |
| Metric Theater | Tie metrics to user value delivered |
references/prd_templates.md - PRD templates for different contextsreferences/frameworks.md - RICE, MoSCoW, Kano, JTBD framework documentationreferences/input-output-examples.md - Detailed I/O examplesまだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Web/mobile accessibility decision guide: WCAG 2.2 AA, ARIA, keyboard nav, focus management, contrast, testing. Use for: a11y, accessibility, wcag, aria, screen reader, keyboard, contrast.
日本語の概要は準備中です。原文の説明を表示しています。
Generate, iterate, and scale ad creative for paid advertising across Google, Meta, LinkedIn, and X. Covers platform specs, creative frameworks, and quality validation.
日本語の概要は準備中です。原文の説明を表示しています。
Interactive music for games: vertical layering, horizontal re-sequencing, stingers, transition rules with sync points, and mapping gameplay states to music. Use for: adaptive music, dynamic music system, musical transitions, combat music.
日本語の概要は準備中です。原文の説明を表示しています。
Design multi-agent systems, create agent architectures, define communication patterns, and build autonomous agent workflows with structured evaluation frameworks.
日本語の概要は準備中です。原文の説明を表示しています。
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, response formats, and quality loops.
日本語の概要は準備中です。原文の説明を表示しています。