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competitive-teardown

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Competitive Teardown

竞品拆解

Tier: POWERFUL
Category: Product Team
Domain: Competitive Intelligence, Product Strategy, Market Analysis
等级：强力级
类别：产品团队
领域：竞争情报、产品战略、市场分析

When to Use

适用场景

  • Before a product strategy or roadmap session
  • When a competitor launches a major feature or pricing change
  • Quarterly competitive review
  • Before a sales pitch where you need battle card data
  • When entering a new market segment
  • 产品战略或路线图会议前
  • 竞品推出重大功能或调整定价时
  • 季度竞品复盘
  • 需要作战卡片数据的销售演示前
  • 进入新细分市场时

Teardown Workflow

拆解流程

Follow these steps in sequence to produce a complete teardown:
  1. Define competitors — List 2–4 competitors to analyze. Confirm which is the primary focus.
  2. Collect data — Use 
    references/data-collection-guide.md
    to gather raw signals from at least 3 sources per competitor (website, reviews, job postings, SEO, social).
    Validation checkpoint: Before proceeding, confirm you have pricing data, at least 20 reviews, and job posting counts for each competitor.
  3. Score using rubric — Apply the 12-dimension rubric below to produce a numeric scorecard for each competitor and your own product.
    Validation checkpoint: Every dimension should have a score and at least one supporting evidence note.
  4. Generate outputs — Populate the templates in 
    references/analysis-templates.md
    (Feature Matrix, Pricing Analysis, SWOT, Positioning Map, UX Audit).
  5. Build action plan — Translate findings into the Action Items template (quick wins / medium-term / strategic).
  6. Package for stakeholders — Assemble the Stakeholder Presentation using outputs from steps 3–5.
按以下顺序执行步骤，完成完整的竞品拆解：
  1. 定义竞品 — 列出2–4个需分析的竞品，确认主要分析对象。
  2. 收集数据 — 使用
    references/data-collection-guide.md
    ，为每个竞品从至少3个来源（官网、评论、招聘信息、SEO、社交媒体）收集原始信号。
    验证检查点：继续下一步前，确认已获取每个竞品的定价数据、至少20条评论以及招聘信息数量。
  3. 依据准则评分 — 应用下方的12维度评分准则，为每个竞品及自家产品生成量化评分卡。
    验证检查点：每个维度都应有评分及至少一条支撑性证据说明。
  4. 生成输出内容 — 填充
    references/analysis-templates.md
    中的模板（功能矩阵、定价分析、SWOT分析、定位图、UX审计）。
  5. 制定行动计划 — 将分析结果转化为行动项模板（快速制胜/中期/战略级）。
  6. 打包交付利益相关者 — 整合步骤3–5的输出内容，制作面向利益相关者的演示文稿。

Data Collection Guide

数据收集指南

Full executable scripts for each source are in 
references/data-collection-guide.md
. Summaries of what to capture are below.
各数据源的完整可执行脚本位于
references/data-collection-guide.md
中。以下是需捕获内容的摘要。

1. Website Analysis

1. 官网分析

Key things to capture:
  • Pricing tiers and price points
  • Feature lists per tier
  • Primary CTA and messaging
  • Case studies / customer logos (signals ICP)
  • Integration logos
  • Trust signals (certifications, compliance badges)
需捕获的关键信息：
  • 定价层级及价格点
  • 各层级功能列表
  • 主要CTA及核心messaging
  • 案例研究/客户标志（信号目标客户群体ICP）
  • 集成标志
  • 信任信号（认证、合规徽章）

2. App Store Reviews

2. 应用商店评论

Review sentiment categories:
  • Praise → what users love (defend / strengthen these)
  • Feature requests → unmet needs (opportunity gaps)
  • Bugs → quality signals
  • UX complaints → friction points you can beat them on
Sample App Store query (iTunes Search API):
GET https://itunes.apple.com/search?term=<competitor_name>&entity=software&limit=1
评论情感分类：
  • 好评 → 用户喜爱的点（需维护/强化）
  • 功能请求 → 未被满足的需求（机会缺口）
  • Bug反馈 → 质量信号
  • UX投诉 → 可超越对手的摩擦点
应用商店查询示例（iTunes Search API）：
GET https://itunes.apple.com/search?term=<competitor_name>&entity=software&limit=1

Extract trackId, then:

提取trackId后执行：

GET https://itunes.apple.com/rss/customerreviews/id=<trackId>/sortBy=mostRecent/json?l=en&limit=50
Parse `entry[].content.label` for review text and `entry[].im:rating.label` for star rating.
GET https://itunes.apple.com/rss/customerreviews/id=<trackId>/sortBy=mostRecent/json?l=en&limit=50
解析`entry[].content.label`获取评论文本，解析`entry[].im:rating.label`获取星级评分。

3. Job Postings (Team Size & Tech Stack Signals)

3. 招聘信息（团队规模与技术栈信号）

Signals from job postings:
  • Engineering volume → scaling vs. consolidating
  • Specific tech mentions → stack (React/Vue, Postgres/Mongo, AWS/GCP)
  • Sales/CS ratio → product-led vs. sales-led motion
  • Data/ML roles → upcoming AI features
  • Compliance roles → regulatory expansion
招聘信息传递的信号：
  • 工程团队规模 → 扩张vs收缩
  • 特定技术提及 → 技术栈（React/Vue、Postgres/Mongo、AWS/GCP）
  • 销售/客户成功比例 → 产品驱动vs销售驱动模式
  • 数据/ML岗位 → 即将推出的AI功能
  • 合规岗位 → 监管领域拓展

4. SEO Analysis

4. SEO分析

SEO signals to capture:
  • Top 20 organic keywords (intent: informational / navigational / commercial)
  • Domain Authority / backlink count
  • Blog publishing cadence and topics
  • Which pages rank (product pages vs. blog vs. docs)
需捕获的SEO信号：
  • 前20个自然搜索关键词（意图：信息类/导航类/商业类）
  • 域名权威度/反向链接数量
  • 博客发布频率及主题
  • 排名页面类型（产品页vs博客vs文档）

5. Social Media Sentiment

5. 社交媒体情感分析

Capture recent mentions via Twitter/X API v2, Reddit, or LinkedIn. Look for recurring praise, complaints, and feature requests. See 
references/data-collection-guide.md
for API query examples.
通过Twitter/X API v2、Reddit或LinkedIn捕获近期提及内容。寻找反复出现的好评、投诉及功能请求。API查询示例详见
references/data-collection-guide.md
。

Scoring Rubric (12 Dimensions, 1-5)

评分准则（12个维度，1-5分）

#Dimension1 (Weak)3 (Average)5 (Best-in-class)
1FeaturesCore only, many gapsSolid coverageComprehensive + unique
2PricingConfusing / overpricedMarket-rate, clearTransparent, flexible, fair
3UXConfusing, high frictionFunctionalDelightful, minimal friction
4PerformanceSlow, unreliableAcceptableFast, high uptime
5DocsSparse, outdatedDecent coverageComprehensive, searchable
6SupportEmail only, slowChat + email24/7, great response
7Integrations0-5 integrations6-2526+ or deep ecosystem
8SecurityNo mentionsSOC2 claimedSOC2 Type II, ISO 27001
9ScalabilityNo enterprise tierMid-market readyEnterprise-grade
10BrandGeneric, unmemorableDecent positioningStrong, differentiated
11CommunityNoneForum / SlackActive, vibrant community
12InnovationNo recent releasesQuarterlyFrequent, meaningful
Example completed row (Competitor: Acme Corp, Dimension 3 – UX):
DimensionAcme Corp ScoreEvidence
UX2App Store reviews cite "confusing navigation" (38 mentions); onboarding requires 7 steps before TTFV; no onboarding wizard; CC required at signup.
Apply this pattern to all 12 dimensions for each competitor.
#维度1分（薄弱）3分（平均）5分（行业领先）
1功能仅核心功能，存在大量缺口覆盖全面功能完备且具备独特性
2定价混乱/定价过高符合市场水平，清晰透明完全透明、灵活且公平
3UX混乱，摩擦点多可用体验愉悦，摩擦点极少
4性能缓慢、不可靠可接受快速、高可用性
5文档内容匮乏、过时覆盖尚可内容全面、支持搜索
6支持服务仅邮件支持，响应缓慢聊天+邮件支持7×24小时，响应优质
7集成能力0-5个集成6-25个集成26个以上或具备深度生态系统
8安全性无相关提及宣称符合SOC2标准具备SOC2 Type II、ISO 27001认证
9可扩展性无企业级版本适配中端市场企业级能力
10品牌通用化，无记忆点定位尚可定位清晰，差异化显著
11社区无社区论坛/Slack社区活跃且充满活力的社区
12创新能力近期无版本更新季度更新频繁推出有意义的更新
已完成行示例（竞品：Acme Corp，维度3 – UX）：
维度Acme Corp评分证据
UX2应用商店评论提及“导航混乱”（38次）；激活前需7步操作，无引导向导；注册时需绑定信用卡。
为每个竞品的所有12个维度应用此评分模式。

Templates

模板

Full template markdown is in 
references/analysis-templates.md
. Abbreviated reference below.
完整模板markdown位于
references/analysis-templates.md
中。以下为简化参考。

Feature Comparison Matrix

功能对比矩阵

Rows: core features, pricing tiers, platform capabilities (web, iOS, Android, API).
Columns: your product + up to 3 competitors.
Score each cell 1–5. Sum to get total out of 60.
Score legend: 5=Best-in-class, 4=Strong, 3=Average, 2=Below average, 1=Weak/Missing
行：核心功能、定价层级、平台能力（网页端、iOS、Android、API）。
列：自家产品+最多3个竞品。
每个单元格评分1–5，总分60分。
**评分说明：**5=行业领先，4=优秀，3=平均，2=低于平均，1=薄弱/缺失

Pricing Analysis

定价分析

Capture per competitor: model type (per-seat / usage-based / flat rate / freemium), entry/mid/enterprise price points, free trial length.
Summarize: price leader, value leader, premium positioning, your position, and 2–3 pricing opportunity bullets.
捕获每个竞品的信息：定价模式（按席位/按使用量/固定费率/免费增值）、入门/中端/企业级价格点、免费试用时长。
总结：价格领先者、价值领先者、高端定位、自家产品定位，以及2–3个定价机会要点。

SWOT Analysis

SWOT分析

For each competitor: 3–5 bullets per quadrant (Strengths, Weaknesses, Opportunities for us, Threats to us). Anchor every bullet to a data signal (review quote, job posting count, pricing page, etc.).
针对每个竞品：每个象限（优势、劣势、我方机会、我方威胁）列出3–5条要点。每条要点需锚定数据信号（评论引用、招聘信息数量、定价页面等）。

Positioning Map

定位图

2x2 axes (e.g., Simple ↔ Complex / Low Value ↔ High Value). Place each competitor and your product. Bubble size = market share or funding. See 
references/analysis-templates.md
for ASCII and editable versions.
2×2坐标轴（例如：简易 ↔ 复杂 / 低价值 ↔ 高价值）。标注每个竞品及自家产品的位置。气泡大小=市场份额或融资额。ASCII格式及可编辑版本详见
references/analysis-templates.md
。

UX Audit Checklist

UX审计清单

Onboarding: TTFV (minutes), steps to activation, CC-required, onboarding wizard quality.
Key workflows: steps, friction points, comparative score (yours vs. theirs).
Mobile: iOS/Android ratings, feature parity, top complaint and praise.
Navigation: global search, keyboard shortcuts, in-app help.
入职流程：TTFV（分钟）、激活步骤数、是否需绑定信用卡、入职向导质量。
核心流程：步骤数、摩擦点、对比评分（我方vs竞品）。
移动端：iOS/Android评分、功能一致性、Top投诉与好评。
导航：全局搜索、键盘快捷键、应用内帮助。

Action Items

行动项

HorizonEffortExamples
Quick wins (0–4 wks)LowAdd review badges, publish comparison landing page
Medium-term (1–3 mo)ModerateLaunch free tier, improve onboarding TTFV, add top-requested integration
Strategic (3–12 mo)HighEnter new market, build API v2, achieve SOC2 Type II
时间范围投入成本示例
快速制胜（0–4周）低添加评论徽章、发布竞品对比落地页
中期（1–3个月）中等推出免费版本、优化入职流程TTFV、添加用户呼声最高的集成
战略级（3–12个月）高进入新市场、构建API v2、获取SOC2 Type II认证

Stakeholder Presentation (7 slides)

利益相关者演示文稿（7页幻灯片）

  1. Executive Summary — Threat level (LOW/MEDIUM/HIGH/CRITICAL), top strength, top opportunity, recommended action
  2. Market Position — 2x2 positioning map
  3. Feature Scorecard — 12-dimension radar or table, total scores
  4. Pricing Analysis — Comparison table + key insight
  5. UX Highlights — What they do better (3 bullets) vs. where we win (3 bullets)
  6. Voice of Customer — Top 3 review complaints (quoted or paraphrased)
  7. Our Action Plan — Quick wins, medium-term, strategic priorities; Appendix with raw data
  1. 执行摘要 — 威胁等级（低/中/高/严重）、核心优势、核心机会、推荐行动
  2. 市场定位 — 2×2定位图
  3. 功能评分卡 — 12维度雷达图或表格、总分
  4. 定价分析 — 对比表格+关键洞察
  5. UX亮点 — 竞品做得更好的点（3条）vs我方优势（3条）
  6. 客户声音 — Top3评论投诉（引用或转述）
  7. 我方行动计划 — 快速制胜、中期、战略优先级；附录含原始数据

Related Skills

相关技能

  • Product Strategist (
    product-team/product-strategist/
    ) — Competitive insights feed OKR and strategy planning
  • Landing Page Generator (
    product-team/landing-page-generator/
    ) — Competitive positioning informs landing page messaging
  • 产品策略师 (
    product-team/product-strategist/
    ) — 竞争洞察为OKR与战略规划提供支撑
  • 落地页生成器 (
    product-team/landing-page-generator/
    ) — 竞品定位为落地页messaging提供指导