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Positioning differentiation

Skill LuckyOneTwoThree/pm-skill/pm-02-strategy/skills/positioning-differentiation

当需要评估差异化可持续性时使用。差异化来源自动评估,输入价值曲线+竞品分析+能力评估,从功能/体验/场景/商业/生态5个维度输出差异化强度评分和推荐。关键词:差异化评估、可持续性、竞争壁垒、护城河。From its SKILL.md

Install
npx -y skills add LuckyOneTwoThree/pm-skill --skill positioning-differentiation

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SKILL.md

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Pipeline 6: 差异化来源自动评估

核心原则

  1. 五维度全覆盖——功能/体验/场景/商业/生态5个维度缺一不可
  2. 追赶难度量化——评分标准锚定竞品追赶时间(3月/6月/12月+),拒绝模糊判断
  3. 加权综合评分——各维度加权计算综合差异化强度,权重可调但必须显式
  4. 最可持续推荐——不仅评估当前差异,更要推荐最可持续的差异化来源

交互模式

🤖→👤 AI建议人类审批

输入

输入项类型必填来源说明
价值曲线JSONoutput/pm-strategy/positioning-value-curve/value-curve.json竞争要素评分、蓝海动作建议
竞品分析JSONoutput/pm-discovery/market-competitor-intel/competitor-intel.json竞品能力、追赶难度评估
自身能力评估JSON用户提供技术壁垒、资源优势

执行步骤

Step 1: 功能差异评估

评估产品功能的差异化程度:

评分含义说明
5分难以复制竞品需要12个月以上追赶
3分中等难度竞品需要3-6个月追赶
1分容易复制竞品可在3个月内复制

评估维度:

  • 核心功能独特性
  • 技术复杂度
  • 数据积累优势

Step 2: 体验差异评估

评估用户体验层面的差异化:

评分含义说明
5分难以追赶用户习惯已形成,转换成本高
3分中等难度需要持续投入才能保持
1分容易追赶体验要素可快速复制

评估维度:

  • 用户习惯培养程度
  • 界面/交互独特性
  • 使用流程效率

Step 3: 场景差异评估

评估垂直场景深耕程度:

评分含义说明
5分深度场景深度理解行业Know-How
3分中度场景覆盖主流场景
1分浅度场景仅有通用功能

评估维度:

  • 场景覆盖深度
  • 行业专业知识
  • 场景解决方案完整性

Step 4: 商业差异评估

评估商业模式独特性:

评分含义说明
5分独特模式商业模式难以复制
3分可复制模式模式可学习但有壁垒
1分同质模式与行业普遍模式相同

评估维度:

  • 收入结构独特性
  • 成本结构优势
  • 商业模式护城河

Step 5: 生态差异评估

评估生态系统的差异化强度:

评分含义说明
5分强生态多方参与,网络效应强
3分中生态有一定合作伙伴
1分弱生态单一产品

评估维度:

  • 合作伙伴数量
  • 网络效应强度
  • 生态锁定能力

Step 6: 综合差异化强度计算

加权计算综合差异化强度:

综合差异化强度 = (功能差异×0.25 + 体验差异×0.20 + 场景差异×0.25 + 商业差异×0.15 + 生态差异×0.15) / 5

Step 7: 最可持续差异化来源推荐

基于5个维度评分,推荐最可持续的差异化来源:

  1. 识别评分最高的维度
  2. 分析可持续性理由
  3. 给出具体行动建议

输出

存储路径output/pm-strategy/positioning-differentiation/differentiation-assessment.json

输出文件:differentiation-assessment.json

输出校验规则

字段路径类型必填说明
differentiation_scores.featureobject功能差异评分,含score/description/sustainability
differentiation_scores.experienceobject体验差异评分
differentiation_scores.scenarioobject场景差异评分
differentiation_scores.businessobject商业差异评分
differentiation_scores.ecosystemobject生态差异评分
overall_differentiation_strengthnumber综合差异化强度0-1
recommended_differentiation_source.dimensionstring推荐维度
recommended_differentiation_source.reasonstring推荐理由
recommended_differentiation_source.actionstring行动建议
{
  "differentiation_scores": {
    "feature": {
      "score": 4,
      "description": "核心功能独特,技术壁垒高",
      "sustainability": "高"
    },
    "experience": {
      "score": 3,
      "description": "用户体验良好,有一定习惯壁垒",
      "sustainability": "中"
    },
    "scenario": {
      "score": 5,
      "description": "深度行业场景理解",
      "sustainability": "高"
    },
    "business": {
      "score": 3,
      "description": "商业模式有差异化",
      "sustainability": "中"
    },
    "ecosystem": {
      "score": 4,
      "description": "合作伙伴生态初步形成",
      "sustainability": "中高"
    }
  },
  "overall_differentiation_strength": 0.78,
  "recommended_differentiation_source": {
    "dimension": "scenario",
    "reason": "行业场景深度积累需要12-18个月,难以被竞品短期追赶",
    "action": "继续深耕垂直场景,构建行业解决方案壁垒"
  }
}

决策规则

情况处理方式
各维度评分需人类校准主观维度
综合推荐需人类最终判断确认
争议点升级人类决策

质量检查

  1. 完整性:5个维度都已评估,无遗漏
  2. 客观性:评分有数据支撑,避免主观偏见
  3. 一致性:推荐理由与评分逻辑一致
  4. 可执行性:行动建议可转化为产品策略

降级策略

当上游文件不存在时,本Skill仍可独立执行:

缺失的上游输入降级方案输出影响
positioning-value-curve.json用户提供自身和竞品特点 → 评估差异化缺乏价值曲线数据,竞争要素评分缺乏可视化对比
competitor-intel.json用户提供自身和竞品特点 → 评估差异化缺乏竞品情报数据,追赶难度评估可能不够精准
positioning-value-curve.json + competitor-intel.json用户提供自身和竞品特点描述 → 直接评估差异化整体置信度降低,评分缺乏数据锚定
所有上游文件均缺失提示用户先执行前序阶段,或基于用户提供的自身和竞品特点评估差异化整体置信度显著降低,评估仅为假设推断
自身能力评估(用户提供)若用户未提供自身能力评估,提示用户提供或跳过该输入相关步骤功能和场景差异评估缺乏内部数据支撑

数据获取说明:

  • 本Skill需要价值曲线和竞品分析数据,请通过以下方式之一提供:
    1. 直接描述自身产品特点和竞品特点
    2. 上传positioning-value-curve.json / competitor-intel.json文件
    3. 提供数据文件路径
  • AI不负责外部数据采集,仅负责分析

上游变更响应

上游变更影响表

上游变更影响范围响应策略
value-curve.json价值曲线更新竞争要素评分和差异化计算重新执行Step 1-6,更新差异化评分
competitor-intel竞品数据更新追赶难度评估重新评估各维度可持续性

下游通知机制表

变更类型影响范围通知方式
差异化评分变更positioning-statement、business-strategy-report输出文件版本号+变更摘要
推荐差异化来源变更positioning-statement、planning-roadmap输出文件版本号+变更摘要

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most product growth skills give in ~2.8k tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07

  • Read product marketing context before asking questionsin 24 of 728, across 18 files
  • Define the ideal customer profilein 21 of 728, across 3 files
  • Document a rollback plan before deploymentin 21 of 728, across 12 files
  • Analyze the codebase to understand the productin 19 of 728, across 1 file
  • Ask clarifying questions about the value propositionin 19 of 728, across 1 file
  • Search for companies matching the criteriain 19 of 728, across 1 file
  • Look for signals of immediate needin 19 of 728, across 1 file
  • Assign a fit score from one to tenin 19 of 728, across 1 file
  • Identify the target decision-maker rolein 19 of 728, across 1 file
  • Suggest a personalized contact strategyin 19 of 728, across 1 file
  • Provide conversation starters for outreachin 19 of 728, across 1 file
  • Format results in a scannable markdown templatein 19 of 728, across 1 file

Said here and by no other author read

  • evaluate all five differentiation dimensions
  • quantify scores using competitor catch-up time
  • make weighting explicit in the scoring
  • calculate weighted overall differentiation strength
  • recommend the most sustainable differentiation source
  • request human approval before finalizing

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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