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Lead Research Assistant

Lead Research Assistant（销售线索调研助手）

This skill helps find and qualify potential customers for your product or service through systematic research and analysis.
该技能可通过系统化调研与分析，为你的产品或服务寻找并筛选潜在客户。

When to Use This Skill

何时使用该技能

Use this skill when you need to:
  • Find companies that would benefit from your product
  • Identify decision makers and their contact information
  • Research specific market segments or industries
  • Build targeted prospect lists
  • Plan outreach strategies
  • Qualify leads based on criteria
  • Research competitor customers
  • Find early adopters or beta users
当你需要以下服务时，可使用该技能：
  • 寻找能从你的产品中获益的企业
  • 识别决策人及其联系方式
  • 调研特定细分市场或行业
  • 构建精准潜在客户列表
  • 规划触达策略
  • 根据标准筛选线索资质
  • 调研竞品客户
  • 寻找早期使用者或Beta用户

Research Workflow

调研流程

1. Understand the Product

1. 了解产品

First, analyze what you're selling:
  • Read product description/repository
  • Understand core value proposition
  • Identify key features and benefits
  • Determine ideal customer profile (ICP)
  • Note technical requirements or integrations
首先，分析你所销售的产品：
  • 阅读产品描述/仓库文档
  • 理解核心价值主张
  • 识别关键功能与优势
  • 确定理想客户画像（ICP）
  • 记录技术要求或集成需求

2. Define Target Criteria

2. 定义目标标准

Establish search parameters:
  • Industry: Which sectors benefit most?
  • Company size: Startups, SMB, Enterprise?
  • Geography: Location requirements?
  • Technographics: What tech stack do they use?
  • Budget indicators: Funding, revenue, growth stage?
  • Pain points: What problems do they face?
建立搜索参数：
  • 行业：哪些领域获益最多？
  • 企业规模：初创公司、中小企业（SMB）、大型企业？
  • 地域：是否有地域要求？
  • 技术栈：他们使用什么技术栈？
  • 预算指标：融资情况、收入、发展阶段？
  • 痛点：他们面临哪些问题？

3. Research Strategy

3. 调研策略

Use multiple research approaches:
Company Discovery:
  • Industry-specific searches
  • Tech stack searches (e.g., "companies using Cursor AI")
  • Recent funding announcements (Crunchbase, TechCrunch)
  • LinkedIn company searches
  • Y Combinator batches
  • Product Hunt launches
  • Conference attendee lists
  • Industry associations
Decision Maker Identification:
  • LinkedIn profile searches
  • Company org charts
  • Apollo.io or similar databases
  • GitHub contributor searches (for dev tools)
  • Twitter/X for thought leaders
  • Industry forum moderators
采用多种调研方法：
企业挖掘:
  • 特定行业搜索
  • 技术栈搜索（例如："使用Cursor AI的企业"）
  • 近期融资公告（Crunchbase、TechCrunch）
  • LinkedIn企业搜索
  • Y Combinator孵化项目
  • Product Hunt上新
  • 会议参会名单
  • 行业协会
决策人识别:
  • LinkedIn个人资料搜索
  • 企业组织架构图
  • Apollo.io或类似数据库
  • GitHub贡献者搜索（针对开发者工具）
  • Twitter/X意见领袖
  • 行业论坛版主

4. Lead Qualification Scoring

4. 线索资质评分

Score each lead on:
  • Fit Score (1-10): How well do they match ICP?
  • Intent Score (1-10): How likely are they to buy?
  • Priority (High/Medium/Low): Overall ranking
Fit Criteria:
  • Uses complementary tools (+2)
  • In target industry (+2)
  • Right company size (+2)
  • Geographic fit (+1)
  • Recent growth indicators (+2)
  • Budget signals (+1)
Intent Criteria:
  • Recent funding (+3)
  • Hiring for relevant roles (+2)
  • Posted about related problems (+3)
  • Active in community (+1)
  • Recent tech stack changes (+1)
为每条线索评分：
  • Fit Score（匹配度得分）：1-10分，衡量与理想客户画像（ICP）的匹配程度
  • Intent Score（购买意向得分）：1-10分，衡量购买可能性
  • Priority（优先级）：高/中/低，整体排名
匹配度评分标准:
  • 使用互补工具（+2分）
  • 属于目标行业（+2分）
  • 企业规模符合要求（+2分）
  • 地域匹配（+1分）
  • 近期有增长迹象（+2分）
  • 有预算信号（+1分）
购买意向评分标准:
  • 近期完成融资（+3分）
  • 在招聘相关岗位（+2分）
  • 发布过相关问题的内容（+3分）
  • 活跃于行业社区（+1分）
  • 近期更换过技术栈（+1分）

5. Information Gathering

5. 信息收集

For each qualified lead, collect:
Company Information:
  • Company name and website
  • Industry and sector
  • Employee count
  • Location (HQ and offices)
  • Funding status and amount
  • Tech stack
  • Recent news or milestones
Decision Maker Details:
  • Name and title
  • LinkedIn profile URL
  • Email (if available)
  • Twitter/X handle
  • Recent activity or posts
  • Shared connections
Context & Insights:
  • Why they're a good fit
  • Specific pain points your product solves
  • Recent company changes or needs
  • Mutual connections or warm intro paths
  • Relevant content they've shared
针对每条合格线索，收集以下信息：
企业信息:
  • 企业名称与官网
  • 行业与细分领域
  • 员工数量
  • 所在地（总部及办公地点）
  • 融资状态与金额
  • 技术栈
  • 近期新闻或里程碑事件
决策人信息:
  • 姓名与职位
  • LinkedIn个人资料链接
  • 邮箱（若可获取）
  • Twitter/X账号
  • 近期动态或发布内容
  • 共同联系人
背景与洞察:
  • 他们为何是优质线索
  • 你的产品可解决的具体痛点
  • 企业近期的变化或需求
  • 共同联系人或暖场介绍路径
  • 他们分享过的相关内容

6. Outreach Strategy

6. 触达策略

For each lead, suggest:
Messaging Approach:
  • Personalization hooks (recent posts, company news)
  • Value proposition specific to their situation
  • Relevant case studies or social proof
  • Call-to-action (demo, trial, conversation)
Conversation Starters:
  • Reference specific pain points
  • Mention mutual connections
  • Comment on their recent work
  • Share relevant insights
  • Offer immediate value
Timing Considerations:
  • Best time to reach out
  • Seasonal factors
  • Company fiscal calendar
  • Product launch cycles
针对每条线索，建议：
沟通方式:
  • 个性化钩子（近期发布内容、企业新闻）
  • 贴合其场景的价值主张
  • 相关案例或社交证明
  • 行动号召（演示、试用、对话）
对话开场白:
  • 提及具体痛点
  • 提到共同联系人
  • 评论他们近期的工作
  • 分享相关洞察
  • 提供即时价值
时间考量:
  • 最佳触达时间
  • 季节性因素
  • 企业财年日历
  • 产品发布周期

Output Format

输出格式

Structure lead research as:
markdown
undefined
按照以下结构整理销售线索调研结果：
markdown
undefined

Lead Research Results

Lead Research Results

Overview

Overview

  • Total leads found: [X]
  • High priority: [Y]
  • Medium priority: [Z]
  • Industries covered: [list]
  • Total leads found: [X]
  • High priority: [Y]
  • Medium priority: [Z]
  • Industries covered: [list]

High Priority Leads

High Priority Leads

1. [Company Name]

1. [Company Name]

Fit Score: 9/10 | Intent Score: 8/10 | Priority: HIGH
Company Details:
  • Industry: [industry]
  • Size: [employees]
  • Location: [city, country]
  • Funding: [amount/stage]
  • Website: [url]
Why Good Fit:
  • [Specific reason 1]
  • [Specific reason 2]
  • [Specific reason 3]
Decision Maker:
  • Name: [Full Name]
  • Title: [Job Title]
  • LinkedIn: [URL]
  • Email: [if found]
Outreach Strategy:
  • Hook: [Personalization element]
  • Value Prop: [Specific benefit for them]
  • CTA: [Suggested ask]
Conversation Starter: "Hi [Name], noticed [specific observation]. We help companies like [theirs] [specific value]. Would [specific outcome] be valuable for your team?"
[Repeat for each high-priority lead]
undefined
Fit Score: 9/10 | Intent Score: 8/10 | Priority: HIGH
Company Details:
  • Industry: [industry]
  • Size: [employees]
  • Location: [city, country]
  • Funding: [amount/stage]
  • Website: [url]
Why Good Fit:
  • [Specific reason 1]
  • [Specific reason 2]
  • [Specific reason 3]
Decision Maker:
  • Name: [Full Name]
  • Title: [Job Title]
  • LinkedIn: [URL]
  • Email: [if found]
Outreach Strategy:
  • Hook: [Personalization element]
  • Value Prop: [Specific benefit for them]
  • CTA: [Suggested ask]
Conversation Starter: "Hi [Name], noticed [specific observation]. We help companies like [theirs] [specific value]. Would [specific outcome] be valuable for your team?"
[Repeat for each high-priority lead]
undefined

Research Sources

调研来源

Free Sources

免费来源

  • LinkedIn (company pages, people search)
  • GitHub (contributor activity, org repositories)
  • Twitter/X (company mentions, decision maker posts)
  • Crunchbase (basic funding data)
  • Product Hunt (new product launches)
  • HackerNews (who's hiring, show HN)
  • Company blogs and press pages
  • Industry publications
  • LinkedIn（企业主页、人脉搜索）
  • GitHub（贡献者动态、组织仓库）
  • Twitter/X（企业提及、决策人发布内容）
  • Crunchbase（基础融资数据）
  • Product Hunt（新产品发布）
  • HackerNews（招聘信息、Show HN内容）
  • 企业博客与新闻页面
  • 行业出版物

Paid Sources (if available)

付费来源（若可获取）

  • Apollo.io (B2B contact database)
  • ZoomInfo (company & contact data)
  • LinkedIn Sales Navigator
  • Crunchbase Pro
  • BuiltWith (tech stack data)
  • SimilarWeb (traffic data)
  • Apollo.io（B2B联系人数据库）
  • ZoomInfo（企业与联系人数据）
  • LinkedIn Sales Navigator
  • Crunchbase Pro
  • BuiltWith（技术栈数据）
  • SimilarWeb（流量数据）

Domain-Specific Strategies

特定领域策略

For Developer Tools

针对开发者工具

Target:
  • Engineering managers on LinkedIn
  • GitHub users in relevant ecosystems
  • Stack Overflow contributors
  • DevTool Twitter communities
  • Engineering blogs
  • Tech conference speakers
目标群体：
  • LinkedIn上的工程经理
  • 相关生态中的GitHub用户
  • Stack Overflow贡献者
  • 开发者工具Twitter/X社区
  • 技术博客作者
  • 技术会议演讲者

For B2B SaaS

针对B2B SaaS

Target:
  • Department heads (VP Sales, VP Eng, etc.)
  • Companies in growth stage
  • Recent funding announcements
  • Job posts indicating expansion
  • LinkedIn groups for industry
目标群体：
  • 部门负责人（销售副总裁、工程副总裁等）
  • 处于增长阶段的企业
  • 近期完成融资的企业
  • 发布扩张招聘信息的企业
  • 行业LinkedIn群组

For Real Estate Tech

针对房地产科技

Target:
  • Real estate investors and fund managers
  • Property management companies
  • Real estate brokerages
  • REITs and institutional investors
  • Real estate tech adopters
  • Industry conference attendees
目标群体：
  • 房地产投资者与基金经理
  • 物业管理公司
  • 房地产经纪公司
  • REITs与机构投资者
  • 房地产科技使用者
  • 行业会议参会者

For AI/ML Tools

针对AI/ML工具

Target:
  • Companies hiring ML engineers
  • Y Combinator AI companies
  • Users of complementary AI tools
  • AI research labs
  • Companies with AI in job descriptions
  • AI Twitter/X community
目标群体：
  • 正在招聘ML工程师的企业
  • Y Combinator旗下AI企业
  • 互补AI工具的使用者
  • AI研究实验室
  • 职位描述中包含AI的企业
  • AI领域Twitter/X社区

Quality Standards

质量标准

Ensure each lead entry:
  • ✅ Has verifiable company information
  • ✅ Includes decision maker name and title
  • ✅ Explains why they're a good fit
  • ✅ Provides concrete outreach strategy
  • ✅ Includes at least one contact method
  • ✅ Has accurate fit/intent scoring
  • ✅ Contains actionable next steps
Avoid:
  • ❌ Generic "spray and pray" lists
  • ❌ Outdated contact information
  • ❌ Unclear value propositions
  • ❌ Missing decision maker details
  • ❌ No personalization hooks
确保每条线索条目：
  • ✅ 企业信息可验证
  • ✅ 包含决策人姓名与职位
  • ✅ 说明其为何是优质线索
  • ✅ 提供具体触达策略
  • ✅ 至少包含一种联系方式
  • ✅ 匹配度/意向得分准确
  • ✅ 包含可执行的下一步动作
需避免：
  • ❌ 通用的“广撒网”列表
  • ❌ 过时的联系方式
  • ❌ 模糊的价值主张
  • ❌ 缺失决策人信息
  • ❌ 无个性化钩子

Examples

示例

Example 1: Developer Tool

示例1：开发者工具

Product: AI-powered foreclosure auction analysis platform
Research Strategy:
  • Search: "real estate investment companies Brevard County"
  • Search: "property investors Florida foreclosures"
  • LinkedIn: Real estate fund managers in Florida
  • Search: "real estate wholesalers central Florida"
Sample Lead:
  • Company: Sunshine State Capital
  • Decision Maker: John Smith, Managing Partner
  • Fit: 9/10 - Active foreclosure investor, 50+ properties
  • Hook: Recent LinkedIn post about deal analysis challenges
  • Value Prop: Automated lien discovery saves 5-10 hours per auction
产品：AI驱动的止赎拍卖分析平台
调研策略:
  • 搜索："佛罗里达州布雷瓦德县房地产投资公司"
  • 搜索："佛罗里达州止赎房产投资者"
  • LinkedIn：佛罗里达州房地产基金经理
  • 搜索："佛罗里达州中部房地产批发商"
示例线索:
  • 企业：Sunshine State Capital
  • 决策人：John Smith，管理合伙人
  • 匹配度：9/10 - 活跃止赎投资者，拥有50+房产
  • 钩子：近期LinkedIn发布的交易分析挑战内容
  • 价值主张：自动 lien 发现可每次拍卖节省5-10小时

Example 2: SaaS Tool

示例2：SaaS工具

Product: Project management for AI developers
Research Strategy:
  • Y Combinator W25 AI companies
  • Companies using Cursor AI (via job posts)
  • "AI startup" + "hiring" searches
  • GitHub organizations with AI repos
Sample Lead:
  • Company: VectorAI Labs
  • Decision Maker: Sarah Chen, CTO
  • Fit: 8/10 - 15 engineers, AI-first company, using Cursor
  • Hook: Just raised Series A, hiring 10 engineers
  • Value Prop: Built specifically for AI development workflows
产品：面向AI开发者的项目管理工具
调研策略:
  • Y Combinator W25 AI企业
  • 使用Cursor AI的企业（通过招聘信息）
  • "AI初创公司" + "招聘" 搜索
  • 拥有AI仓库的GitHub组织
示例线索:
  • 企业：VectorAI Labs
  • 决策人：Sarah Chen，CTO
  • 匹配度：8/10 - 15名工程师，AI优先企业，使用Cursor
  • 钩子：刚完成A轮融资，正在招聘10名工程师
  • 价值主张：专为AI开发工作流打造

Tips for Success

成功技巧

  1. Start Broad, Then Narrow: Cast wide net initially, then filter rigorously
  2. Verify Information: Double-check contact details and job titles
  3. Find Warm Paths: Look for mutual connections or shared communities
  4. Timely Research: Prioritize leads with recent trigger events
  5. Batch Similar Leads: Group by industry or use case for efficient outreach
  6. Track Results: Note which research methods yield best leads
  7. Refresh Regularly: Update lead list as situations change
  8. Respect Privacy: Use publicly available information ethically
  1. 先宽后窄：先广泛撒网，再严格筛选
  2. 验证信息：仔细核对联系方式与职位
  3. 寻找暖场路径：查找共同联系人或共享社区
  4. 及时调研：优先处理有近期触发事件的线索
  5. 批量处理同类线索：按行业或用例分组，提升触达效率
  6. 追踪结果：记录哪些调研方法产出最佳线索
  7. 定期更新：根据情况变化更新线索列表
  8. 尊重隐私：合规使用公开信息