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.
When to Use This 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
What This Skill Does
- 1. Understands Your Business: Analyzes your product/service, value proposition, and target market
- 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
- Provides Contact Strategies: Suggests how to approach each lead with personalized messaging
- Enriches Data: Gathers relevant information about decision-makers and company context
How to Use
Basic Usage
Simply describe your product/service and what you're looking for:
CODEBLOCK0
With Your Codebase
For even better results, run this from your product's source code directory:
CODEBLOCK1
Advanced Usage
For more targeted research:
CODEBLOCK2
Instructions
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:
CODEBLOCK3
- 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
Examples
Example 1: From Lenny's Newsletter
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
Example 2: Local Business
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
Tips for Best Results
- - 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
Related Use Cases
- - 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
首席研究助理
此技能通过分析您的产品/服务、了解您的理想客户画像,并提供可执行的拓展策略,帮助您识别和筛选潜在客户。
何时使用此技能
- - 为您的产品/服务寻找潜在客户
- 建立合作拓展的公司清单
- 确定销售拓展的目标客户
- 研究符合理想客户画像的公司
- 为业务拓展活动做准备
此技能的功能
- 1. 了解您的业务:分析您的产品/服务、价值主张和目标市场
- 识别目标公司:根据以下条件寻找符合理想客户画像的公司:
- 行业和领域
- 公司规模和地点
- 技术栈和使用的工具
- 发展阶段和融资情况
- 您的产品能解决的痛点
- 3. 优先排序潜在客户:根据匹配度和相关性对公司进行排名
- 提供联系策略:建议如何通过个性化信息接触每个潜在客户
- 丰富数据:收集决策者和公司背景的相关信息
使用方法
基本用法
只需描述您的产品/服务以及您的需求:
我正在开发[产品描述]。请为我找到[地点/行业]中10家适合此产品的潜在客户公司。
结合代码库
为获得更佳效果,请在产品源代码目录中运行:
查看此仓库中我正在开发的内容,并识别[地点/行业]中能从该产品受益的前10家公司。
高级用法
进行更有针对性的研究:
我的产品:[描述]
理想客户画像:
- - 行业:[行业]
- 公司规模:[规模范围]
- 地点:[地点]
- 当前痛点:[痛点]
- 使用的技术:[技术栈]
请为我找到20个合格潜在客户,并提供每个客户的联系策略。
操作说明
当用户请求潜在客户研究时:
- 1. 了解产品/服务
- 如果在代码目录中,分析代码库以了解产品
- 就价值主张提出澄清性问题
- 识别关键功能和优势
- 了解它解决的问题
- 2. 定义理想客户画像
- 确定目标行业和领域
- 识别公司规模范围
- 考虑地理位置偏好
- 了解相关痛点
- 注意任何技术要求
- 3. 研究和识别潜在客户
- 搜索符合标准的公司
- 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/服务的公司
- 检查预算指标
- 4. 优先排序和评分
- 为每个潜在客户创建匹配度评分(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
- 预算可用性
- 竞争格局
- 时机指标
- 5. 提供可执行输出
对于每个潜在客户,提供:
- 公司名称和网站
- 匹配原因:基于其业务的具体理由
- 优先级评分:1-10分并附说明
- 决策者:目标角色/职位(例如工程副总裁)
- 联系策略:个性化接触建议
- 价值主张:您的产品如何解决其具体问题
- 对话切入点:在拓展中提及的具体要点
- 领英链接:如可用,便于建立联系
- 6. 格式化输出
以清晰、易扫描的格式呈现结果:
markdown
# 潜在客户研究结果
## 摘要
- 找到的潜在客户总数:[X]
- 高优先级(8-10分):[X]
- 中优先级(5-7分):[X]
- 平均匹配度评分:[X]
## 潜在客户1:[公司名称]
网站:[URL]
优先级评分:[X/10]
行业:[行业]
规模:[员工数/收入范围]
匹配原因:
[2-3个基于其业务的具体理由]
目标决策者:[角色/职位]
领英:[URL如可用]
价值主张:
[针对该公司的具体优势]
拓展策略:
[个性化方法 - 提及具体痛点、近期公司新闻或相关背景]
对话切入点:
- [具体要点1]
- [具体要点2]
[为每个潜在客户重复]
- 7. 提供后续步骤
- 建议将结果保存为CSV文件以便导入CRM
- 主动提出起草个性化拓展信息
- 根据时机推荐优先排序
- 建议对顶级潜在客户进行后续深入研究
示例
示例1:来自Lennys Newsletter
用户:我正在开发一个工具,用于屏蔽AI编程助手查询中的敏感数据。请寻找潜在客户。
输出:创建优先排序的公司列表,这些公司:
- - 使用AI编程助手(Copilot、Cursor等)
- 处理敏感数据(金融科技、医疗保健、法律)
- 在其GitHub仓库中有使用编程代理的证据
- 可能曾在代码中意外暴露敏感数据
- 包含相关决策者的领英链接
示例2:本地企业
用户:我经营一家远程团队生产力咨询公司。请为我找到湾区10家最近转为远程办公的公司。
输出:识别出以下公司:
- - 近期发布了远程职位招聘信息
- 宣布了远程优先政策
- 正在招聘分布式团队
- 显示出远程工作挑战的迹象
- 为每家公司提供个性化拓展策略
最佳实践提示
- - 具体说明您的产品及其独特价值
- 从代码库运行(如适用)以自动获取上下文
- 提供背景信息关于您的理想客户画像
- 指定约束条件如行业、地点或公司规模
- 请求后续研究对有前景的潜在客户进行深入洞察
相关用例
- - 识别潜在客户后起草个性化拓展邮件
- 构建可供CRM使用的合格潜在客户CSV文件
- 详细研究特定公司
- 分析竞争对手客户群
- 识别合作机会