A comprehensive toolkit for product managers to prioritize features using RICE scoring, analyze customer interviews, and create professional PRD documents. Streamlines product discovery and planning workflows.
下載技能 ZIP
在 Claude 中上傳
前往 設定 → 功能 → 技能 → 上傳技能
開啟並開始使用
測試它
正在使用「product-manager-toolkit」。 Feature list: Login improvement (reach 5000, impact high, confidence 80%, effort 3), Search redesign (reach 10000, impact medium, confidence 90%, effort 5), Notification system (reach 2000, impact massive, confidence 60%, effort 8)
預期結果:
RICE Scores:
1. Search Redesign: Score 180 (Reach 10000 × Impact 0.5 × Confidence 0.9 ÷ Effort 5)
2. Login Improvement: Score 133 (Reach 5000 × Impact 0.5 × Confidence 0.8 ÷ Effort 3)
3. Notification System: Score 30 (Reach 2000 × Impact 1.0 × Confidence 0.6 ÷ Effort 8)
Recommendation: Focus on Search Redesign and Login Improvement for Q1.
正在使用「product-manager-toolkit」。 Customer said: 'The current dashboard is so slow, it takes forever to load. I really need real-time notifications when orders come in. The search function is useless - I can never find what I need. But I love the new reporting feature!'
預期結果:
Pain Points (Severity: High):
- Slow dashboard loading
- Poor search functionality
Feature Requests (Priority: High):
- Real-time notifications for orders
Sentiment: Mixed (positive for reporting, negative for performance)
Key Quote: 'The current dashboard is so slow, it takes forever to load'
安全審計
安全All 71 static findings evaluated as false positives. The skill contains legitimate Python CLI scripts for product management workflows. Documentation shows example commands in markdown code blocks (not actual execution). Market sizing references (TAM/SAM/SOM) were incorrectly flagged as Windows SAM. Generic terms triggered weak crypto flags. File operations are intentional CLI functionality for reading user-provided transcript files.
高風險問題 (6)
品質評分
你能建構什麼
Feature Prioritization Workshop
Run a feature prioritization session using RICE scoring. Generate a CSV of features with scores, then use the script to rank and plan roadmap capacity.
Customer Interview Synthesis
After customer interviews, paste transcript into a text file and run the analyzer to extract actionable insights, sentiment, and feature requests.
PRD Documentation Creation
Use PRD templates to document new feature requirements. Choose from standard, one-page, or feature brief formats based on scope.
試試這些提示
Use the RICE prioritization method to help me score these features. For each feature, I need to estimate: Reach (users per quarter), Impact (massive/high/medium/low/minimal), Confidence (high/medium/low), and Effort (person-months). Here's my feature list: [paste features]
I have a customer interview transcript. Please analyze it and extract: 1) Key pain points with severity, 2) Explicit feature requests, 3) Sentiment (positive/negative/neutral), 4) Jobs to be done, 5) Key quotes. Here's the transcript: [paste transcript]
Help me create a Product Requirements Document for a new feature. I have these inputs: Problem statement [describe], Target users [define], Success metrics [list], Timeline [specify]. Please structure this as a standard PRD using the template format.
I have 20 prioritized features with RICE scores and effort estimates. Our team has capacity for 15 person-months this quarter. Which features should we commit to? Show me the portfolio breakdown of quick wins vs big bets.
最佳實務
- Gather cross-functional input when scoring RICE components to improve accuracy
- Use customer interview analysis to validate pain points before prioritizing solutions
- Start with one-page PRD for small features, use standard PRD for complex initiatives
- Review and update RICE scores quarterly as confidence and reach data improves
避免
- Do not skip confidence scoring - it prevents overconfidence in uncertain estimates
- Do not use RICE for all decisions - combine with strategic fit and technical dependencies
- Do not write PRDs without user research - validate problems first
- Do not ignore effort estimates from engineering - use realistic team velocity