insight

Original：🇨🇳 Chinese
Translated

User demand insight and product opportunity analysis skill, applicable for market analysis before new product development, marketing planning and category entry. Use this skill when you need to quickly understand target users, excavate emotional motivations, and transform insights into implementable product opportunities.

5installs
Sourceliangdabiao/market-insight-claude-skill
Added on

NPX Install

npx skill4agent add liangdabiao/market-insight-claude-skill insight

Tags

Translated version includes tags in frontmatter
product-insightuser-researchproduct-opportunity-analysismarketing-planningproduct-methodology

SKILL.md Content (Chinese)

View Translation Comparison →

Insight - User Demand Insight and Product Opportunity Analysis

Overview

Based on the three-stage prompt framework, it helps you complete user insight analysis that takes weeks with traditional methods in 10 minutes. This is not empty generic talk, but in-depth insights with concrete scenarios that can be directly applied to product design and marketing copy.

Applicable Scenarios

  • User analysis before new product/service development
  • Market opportunity assessment before category entry
  • User motivation excavation in marketing planning
  • Search for differentiated product positioning
  • Rapid verification of product direction assumptions

Core Methodology

This skill adopts a three-stage insight framework:
StageCore ObjectiveOutput Deliverables
Stage 1: User Persona IdentificationAvoid the trap of "catering to everyone", find the most valuable target users4 types of potential user personas + core user judgment (based on repurchase frequency, anti-cyclicality, addictiveness)
Stage 2: Emotional Motivation AnalysisDisassemble users' real motivations from three dimensions: pain points/itch points/pleasure pointsEmotional insights that can be directly used in marketing copy
Stage 3: Product Opportunity ConversionConvert emotional insights into implementable requirements sorted by priorityP0/P1/P2 level product opportunity list

Workflow

Step 1: Collect Product Information

First, ask the user for the following core information:
请提供以下信息：

1. 目标产品/服务是什么？
   （例如：胡辣汤水煎包、SaaS项目管理工具、在线英语课程）

2. 当前处于什么阶段？
   - 概念阶段（只有想法）
   - 开发阶段（产品正在制作中）
   - 上市阶段（产品已推出）

3. 是否有特定的分析侧重？
   - 全流程分析（推荐）
   - 仅用户画像
   - 仅情绪洞察
   - 仅产品机会

Step 2: Generate User Personas

Use the following framework to generate user personas:
# 用户画像生成提示词框架

你是资深产品营销专家。针对【{产品描述}】，请从"用户真实行为"角度切入，而非年龄性别等常规标签。

要求：
1. 输出4类潜在用户画像
2. 每类画像包含：
   - 用户类型名称（具象化命名，如"乡愁味蕾固执派"）
   - 真实行为描述（具体场景/动作）
   - 消费频次/场景
   - 价值判断（复购潜力、抗周期性、成瘾性等）

3. 明确标注核心用户群，并给出理由

4. 避免空泛描述，要让读者能"看到画面感"
Output Example Format:
markdown
## 用户画像分析

### A类：乡愁味蕾固执派
- **行为特征**：在一线城市打拼的河南人，每周至少点一次胡辣汤外卖
- **消费场景**：周末中午、加班夜宵、情绪低落时寻求慰藉
- **价值判断**：中等频次但高情感溢价，客单价不敏感

### B类：碳水充能打工人 ⭐ 核心用户
- **行为特征**：周边写字楼上班族，早上8:30准时到店
- **消费场景**：工作日早餐，一周3-5次
- **价值判断**：高频复购、现金流稳定、口红效应显著、口味成瘾性高
- **推荐理由**：[详细分析...]

Step 3: In-depth Analysis of Emotional Motivation

After the user selects the user group for analysis, conduct pain point/itch point/pleasure point analysis:
# 情绪动因分析提示词框架

针对【{选定的用户群}】使用【{产品}】的真实场景，请从以下三个维度深度分析：

## 痛点分析
- 用户最担心/恐惧的是什么？
- 什么样的体验会让他们感到"被背叛"或愤怒？
- 竞争对手不是同类产品，而是什么？
- 输出可直接用于广告文案的痛点表达

## 痒点分析
- 用户在通过产品表达什么样的身份认同？
- 这里的"痒"是一种怎样的心理投射？
- 用户希望别人如何看待他们的选择？
- 输出能激发身份共鸣的痒点表达

## 爽点分析
- 那个让用户"啊~"的满足瞬间是什么？
- 生理层面：温度、口感、节奏等感官细节
- 心理层面：情感释放、压力缓解、归属感
- 输出让读者"感同身受"的爽点描述

要求：每个分析点都要有画面感，避免空话，输出可直接用于营销文案的具体表达。
Output Example Format:
markdown
## 情绪动因分析 - 乡愁味蕾固执派

### 痛点
- **核心恐惧**：吃到为了迎合所有人而变得温吞的家乡味
- **文案表达**："那是对舌头和记忆的双重背叛"
- **竞争对手**：不是隔壁麦当劳，而是记忆中美化过的"老家楼下那家店"

### 痒点
- **身份投射**：保留野性、懂行、没忘本的"真·河南人"
- **文案表达**："在这个被精致沙拉规训的城市里，我需要这口粗粝的辛辣，来证明自己还没有被生活磨平棱角"

### 爽点
- **满足瞬间**：胡椒热气冲上脑门逼出汗意的那一刻
- **文案表达**："那个在大城市里飘着的魂，终于落了地"
- **生理细节**：85℃汤温、重胡椒冲击、3秒后出汗

Step 4: Generate Product Opportunity List

Convert emotional insights into implementable product requirements:
# 产品机会生成提示词框架

基于上述【{用户群}】的情绪动因分析，请生成产品机会清单。

要求：
1. 每个痛点/痒点/爽点，对应至少1个产品方向
2. 按优先级排序：P0（核心）/ P1（重要）/ P2（锦上添花）
3. 每个机会包含：
   - 产品方向名称（具象化命名）
   - 具体实施描述
   - 对应的情绪需求
   - 成本分析（低/中/高）
   - 执行难度（易/中/难）
   - 预期效果

4. 优先推荐3个"明天就能干"的落地方向
Output Example Format:
markdown
## 产品机会清单

### P0级：原教旨主义·胡辣汤
- **产品方向**：完全不妥协的旗舰单品
- **具体实施**：挂标语"本店未做任何本地化改良，请谨慎食用"
- **对应情绪**：痛点 - 害怕"温吞的改良"
- **成本**：低 | **难度**：易
- **预期效果**：劝退式营销成为信任背书

### P1级：冰火回魂·CP组合
- **产品方向**：温度差体验套餐
- **具体实施**：胡辣汤85℃ + 绿豆沙0-4℃带冰碴
- **对应情绪**：爽点 - "灵魂归位"的生理冲击
- **成本**：中 | **难度**：易
- **预期效果**：制造强烈生理记忆点

### P2级：老乡认证·自助小料台
- **产品方向**：仪式感体验空间
- **具体实施**：整头紫皮大蒜 + 大桶宁化府醋 + 现泼油辣子
- **对应情绪**：痒点 - 身份认同与仪式感
- **成本**：低 | **难度**：易
- **预期效果**："我懂行"的身份信号释放

Complete Case Reference

Case: Spicy Soup & Fried Buns

Stage 1 User Persona Output:
  • Type A: Nostalgic taste stubborn group (emotion-driven)
  • Type B: Carb-charging office workers (function-driven, core user ⭐)
  • Type C: Curious check-in tasters (social-driven)
  • Type D: Overtime late-night snack redeemer (scenario-driven)
Stage 2 Emotional Insight Output:
  • Pain point: "Tepid localization improvement is a betrayal of memory"
  • Itch point: "Rough spiciness proves I haven't been smoothed by life"
  • Pleasure point: "Pepper forces sweat out, my wandering soul finally lands"
Stage 3 Product Opportunity Output:
  • P0: Fundamentalist spicy soup (take rejection of localization improvement as selling point)
  • P1: Ice-fire soul-return combo (85℃ soup + 0-4℃ iced bean paste)
  • P2: Fellow townsman certification self-service condiment station (freshly peeled purple garlic)

Important Notes

Correct Usage of AI Output

What AI provides is not the "final answer", but a quickly verifiable direction.
  1. This is the starting point, not the end point: After obtaining the analysis results, you need to combine real business scenarios for rapid testing and iteration
  2. Lean startup thinking: Before investing large costs, use AI to get a preliminary feel and establish a sense of direction
  3. Verification precedes perfection: Test which direction has the most market potential with minimum feasible cost

Value of This Skill

  • Traditional method: Tens of thousands of RMB from consulting firms + at least 1 month, or 15 in-depth interviews + half a month
  • AI method: 10-minute conversation + structured insights
  • Core value: Not "getting the answer", but "having a sense of direction" and knowing what to verify

Skill Usage Tips

1. Industry Adaptation Suggestions

Different industries can adjust the analysis focus:
IndustrySuggested Focus
Catering & FoodPhysiological experience details, ritual scenarios
SaaS/B2BDecision chain roles, ROI quantification, risk aversion
E-commerce/Consumer GoodsSocial signals, identity projection, pain point copy
Content/EducationKnowledge anxiety, achievement path, social currency

2. In-depth Analysis Skills

If users need more in-depth analysis, you can:
  • Select multiple user groups for separate analysis
  • Compare differences between different user groups to find intersection opportunities
  • Conduct "5 Whys" deep excavation for a single emotional point

3. Output Format Selection

Provide different formats according to user needs:
  • Executive Summary Version: Core insights + 3 P0 level opportunities
  • Full Report Version: Full process analysis + detailed opportunity list
  • Presentation Version: Structured outline suitable for team sharing