market-research

Solid

统一的市场与用户研究入口:市场面收集市场趋势、行业报告并识别机会(TAM-SAM-SOM);用户面进行用户访谈、调研与画像创建。当用户需要市场研究、行业分析、趋势识别、市场规模分析,或需要了解用户需求、创建用户画像、进行用户访谈,或说"X 市场发生了什么"、"用户想要什么"、"用户研究"时使用。即使没有明确说"市场研究"或"用户研究",当用户正在研究某个市场或行业,或试图理解用户行为、需求与痛点时也应激活。

AI & Automation 2 stars 0 forks Updated today MIT

Install

View on GitHub

Quality Score: 81/100

Stars 20%
16
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Market Research 统一研究入口:市场面看清赛道,用户面看懂用户。 ## What This Skill Does 按研究交付物分为两种模式: - **市场面 (Market Intelligence)**:搜索驱动的市场趋势、市场规模(TAM-SAM-SOM)、关键玩家、机会与威胁分析,交付 `market-analysis.json` + Markdown 报告 - **用户面 (User Research)**:访谈提纲、调研设计、用户画像与洞察,交付 `user-research.json` + Markdown 报告 两种模式可独立运行,也可组合执行(先市场面定赛道,再用户面定人群)。 ## When to Use **市场面** — activate when: - User asks about market trends or industry developments - Phrases like "market research", "industry analysis", "market size", "X 市场发生了什么" - Exploring new markets or product categories - Need to understand market dynamics before product decisions **用户面** — activate when: - User asks about understanding user needs or behaviors - Phrases like "user research", "talk to users", "用户想要什么", "create personas" - Creating or updating user personas - Analyzing user feedback or interview data - Need to validate product ideas with real users ## How It Works 1. **Determine mode** — 根据用户意图选择市场面、用户面或两者组合;意图不明时询问用户 2. **市场面**: Define market scope → Search industry sources → Analyze trends → Assess market size (TAM/SAM/SOM) → Identify opportunities → Generate insights 3. **用户面**: Define research goals → Select methods → Create instruments (interview guides, surveys) → Gather data → Analyze findings → Create artifacts (personas, journey maps, insights) ## Research Modes ### 市场面 (Market Intelligence) 搜索驱动:所有市场数据必须来自实际搜索,禁止仅凭训练记忆输出(见 Anti-Hallucination Rules)。 分析深度: | Depth | When to Use | What You Get | |:---|:---|:---| | `overview` | Qu...

Details

Author
kelegele
Repository
kelegele/oh-my-pm
Created
4 months ago
Last Updated
today
Language
HTML
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category