prospect-investigation

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Lead Research Assistant

Lead Research Assistant

This skill helps you identify and qualify potential leads for your business by analyzing your product/service, understanding your ideal customer profile, and providing actionable outreach strategies.
该Skill能够通过分析你的产品/服务、了解你的理想客户画像,为你提供可执行的触达策略,帮助你识别并筛选出符合条件的业务潜在客户。

When to Use This Skill

何时使用该Skill

  • Finding potential customers or clients for your product/service
  • Building a list of companies to reach out to for partnerships
  • Identifying target accounts for sales outreach
  • Researching companies that match your ideal customer profile
  • Preparing for business development activities
  • 为你的产品/服务寻找潜在客户或客户群体
  • 构建可联系的合作企业名单
  • 确定销售触达的目标客户账户
  • 研究符合你理想客户画像的企业
  • 为业务拓展活动做准备

What This Skill Does

该Skill的功能

  1. Understands Your Business: Analyzes your product/service, value proposition, and target market
  2. Identifies Target Companies: Finds companies that match your ideal customer profile based on:
    • Industry and sector
    • Company size and location
    • Technology stack and tools they use
    • Growth stage and funding
    • Pain points your product solves
  3. Prioritizes Leads: Ranks companies based on fit score and relevance
  4. Provides Contact Strategies: Suggests how to approach each lead with personalized messaging
  5. Enriches Data: Gathers relevant information about decision-makers and company context
  1. 了解你的业务:分析你的产品/服务、价值主张及目标市场
  2. 锁定目标企业:基于以下条件寻找符合你理想客户画像的企业:
    • 行业与领域
    • 企业规模与所在地
    • 所使用的技术栈与工具
    • 发展阶段与融资情况
    • 你的产品能够解决的痛点
  3. 线索优先级排序:根据匹配度分数和相关性对企业进行排名
  4. 提供触达策略:建议如何通过个性化话术接触每个线索
  5. 数据丰富:收集决策者及企业背景的相关信息

How to Use

使用方法

Basic Usage

基础用法

Simply describe your product/service and what you're looking for:
I'm building [product description]. Find me 10 companies in [location/industry] 
that would be good leads for this.
只需描述你的产品/服务以及你的需求:
I'm building [product description]. Find me 10 companies in [location/industry] 
that would be good leads for this.

With Your Codebase

结合代码库使用

For even better results, run this from your product's source code directory:
Look at what I'm building in this repository and identify the top 10 companies 
in [location/industry] that would benefit from this product.
为获得更优结果,可在你的产品源代码目录中运行该Skill:
Look at what I'm building in this repository and identify the top 10 companies 
in [location/industry] that would benefit from this product.

Advanced Usage

进阶用法

For more targeted research:
My product: [description]
Ideal customer profile:
- Industry: [industry]
- Company size: [size range]
- Location: [location]
- Current pain points: [pain points]
- Technologies they use: [tech stack]

Find me 20 qualified leads with contact strategies for each.
如需更精准的研究:
My product: [description]
Ideal customer profile:
- Industry: [industry]
- Company size: [size range]
- Location: [location]
- Current pain points: [pain points]
- Technologies they use: [tech stack]

Find me 20 qualified leads with contact strategies for each.

Instructions

操作指引

When a user requests lead research:
  1. Understand the Product/Service
    • If in a code directory, analyze the codebase to understand the product
    • Ask clarifying questions about the value proposition
    • Identify key features and benefits
    • Understand what problems it solves
  2. Define Ideal Customer Profile
    • Determine target industries and sectors
    • Identify company size ranges
    • Consider geographic preferences
    • Understand relevant pain points
    • Note any technology requirements
  3. Research and Identify Leads
    • Search for companies matching the criteria
    • Look for signals of need (job postings, tech stack, recent news)
    • Consider growth indicators (funding, expansion, hiring)
    • Identify companies with complementary products/services
    • Check for budget indicators
  4. Prioritize and Score
    • Create a fit score (1-10) for each lead
    • Consider factors like:
      • Alignment with ICP
      • Signals of immediate need
      • Budget availability
      • Competitive landscape
      • Timing indicators
  5. Provide Actionable Output
    For each lead, provide:
    • Company Name and website
    • Why They're a Good Fit: Specific reasons based on their business
    • Priority Score: 1-10 with explanation
    • Decision Maker: Role/title to target (e.g., "VP of Engineering")
    • Contact Strategy: Personalized approach suggestions
    • Value Proposition: How your product solves their specific problem
    • Conversation Starters: Specific points to mention in outreach
    • LinkedIn URL: If available, for easy connection
  6. Format the Output
    Present results in a clear, scannable format:
    markdown
    # Lead Research Results
    
    ## Summary
    - Total leads found: [X]
    - High priority (8-10): [X]
    - Medium priority (5-7): [X]
    - Average fit score: [X]
    
    ---
    
    ## Lead 1: [Company Name]
    
    **Website**: [URL]
    **Priority Score**: [X/10]
    **Industry**: [Industry]
    **Size**: [Employee count/revenue range]
    
    **Why They're a Good Fit**:
    [2-3 specific reasons based on their business]
    
    **Target Decision Maker**: [Role/Title]
    **LinkedIn**: [URL if available]
    
    **Value Proposition for Them**:
    [Specific benefit for this company]
    
    **Outreach Strategy**:
    [Personalized approach - mention specific pain points, recent company news, or relevant context]
    
    **Conversation Starters**:
    - [Specific point 1]
    - [Specific point 2]
    
    ---
    
    [Repeat for each lead]
  7. Offer Next Steps
    • Suggest saving results to a CSV for CRM import
    • Offer to draft personalized outreach messages
    • Recommend prioritization based on timing
    • Suggest follow-up research for top leads
当用户请求进行线索研究时:
  1. 理解产品/服务
    • 若处于代码目录中,分析代码库以理解产品
    • 针对价值主张提出澄清问题
    • 明确核心功能与优势
    • 了解它能解决哪些问题
  2. 定义理想客户画像
    • 确定目标行业与领域
    • 明确企业规模范围
    • 考虑地域偏好
    • 了解相关痛点
    • 记录技术要求
  3. 研究并识别线索
    • 搜索符合条件的企业
    • 寻找需求信号(招聘信息、技术栈、近期新闻)
    • 考虑增长指标(融资、扩张、招聘)
    • 识别拥有互补产品/服务的企业
    • 查看预算相关指标
  4. 优先级排序与评分
    • 为每个线索创建匹配度分数(1-10分)
    • 考虑以下因素:
      • 与理想客户画像的契合度
      • 即时需求信号
      • 预算情况
      • 竞争格局
      • 时机指标
  5. 提供可执行的输出结果
    为每个线索提供以下信息:
    • 企业名称及官网
    • 匹配原因:基于其业务的具体理由
    • 优先级分数:1-10分并附说明
    • 目标决策者:需接触的职位/头衔(例如:“工程副总裁”)
    • 触达策略:个性化接触建议
    • 价值主张:你的产品如何解决他们的具体问题
    • 沟通切入点:触达时可提及的具体要点
    • LinkedIn链接:若有提供,便于建立联系
  6. 输出格式规范
    以清晰、易读的格式呈现结果:
    markdown
    # Lead Research Results
    
    ## Summary
    - Total leads found: [X]
    - High priority (8-10): [X]
    - Medium priority (5-7): [X]
    - Average fit score: [X]
    
    ---
    
    ## Lead 1: [Company Name]
    
    **Website**: [URL]
    **Priority Score**: [X/10]
    **Industry**: [Industry]
    **Size**: [Employee count/revenue range]
    
    **Why They're a Good Fit**:
    [2-3 specific reasons based on their business]
    
    **Target Decision Maker**: [Role/Title]
    **LinkedIn**: [URL if available]
    
    **Value Proposition for Them**:
    [Specific benefit for this company]
    
    **Outreach Strategy**:
    [Personalized approach - mention specific pain points, recent company news, or relevant context]
    
    **Conversation Starters**:
    - [Specific point 1]
    - [Specific point 2]
    
    ---
    
    [Repeat for each lead]
  7. 提供后续建议
    • 建议将结果保存为CSV文件以便导入CRM系统
    • 可提供个性化触达消息的撰写服务
    • 建议根据时机调整优先级
    • 建议对高优先级线索进行跟进研究

Examples

使用示例

Example 1: From Lenny's Newsletter

示例1:来自Lenny的通讯

User: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."
Output: Creates a prioritized list of companies that:
  • Use AI coding assistants (Copilot, Cursor, etc.)
  • Handle sensitive data (fintech, healthcare, legal)
  • Have evidence in their GitHub repos of using coding agents
  • May have accidentally exposed sensitive data in code
  • Includes LinkedIn URLs of relevant decision-makers
用户:“我正在开发一款可在AI编码助手查询中屏蔽敏感数据的工具,帮我寻找潜在客户。”
输出结果:生成一份经过优先级排序的企业列表,这些企业:
  • 使用AI编码助手(如Copilot、Cursor等)
  • 处理敏感数据(金融科技、医疗、法律行业)
  • 在GitHub仓库中有使用编码Agent的痕迹
  • 可能曾在代码中意外暴露敏感数据
  • 包含相关决策者的LinkedIn链接

Example 2: Local Business

示例2:本地企业

User: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."
Output: Identifies companies that:
  • Recently posted remote job listings
  • Announced remote-first policies
  • Are hiring distributed teams
  • Show signs of remote work challenges
  • Provides personalized outreach strategies for each
用户:“我经营一家专注于远程团队生产力的咨询公司,帮我找10家位于湾区、近期转为远程办公的企业。”
输出结果:识别出符合以下条件的企业:
  • 近期发布过远程职位招聘信息
  • 宣布过远程优先政策
  • 正在招聘分布式团队成员
  • 显示出远程办公相关的挑战
  • 为每家企业提供个性化触达策略

Tips for Best Results

最佳使用建议

  • Be specific about your product and its unique value
  • Run from your codebase if applicable for automatic context
  • Provide context about your ideal customer profile
  • Specify constraints like industry, location, or company size
  • Request follow-up research on promising leads for deeper insights
  • 明确说明你的产品及其独特价值
  • 若适用,从你的代码库中运行该Skill以获取自动上下文信息
  • 提供关于理想客户画像的上下文信息
  • 明确限制条件,如行业、地域或企业规模
  • 可请求对有潜力的线索进行跟进研究

Related Use Cases

相关使用场景

  • Drafting personalized outreach emails after identifying leads
  • Building a CRM-ready CSV of qualified prospects
  • Researching specific companies in detail
  • Analyzing competitor customer bases
  • Identifying partnership opportunities
  • 识别线索后撰写个性化触达邮件
  • 构建可导入CRM系统的合格潜在客户CSV文件
  • 对特定企业进行详细研究
  • 分析竞争对手的客户群体
  • 识别合作机会