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:

Stage	Core Objective	Output Deliverables
Stage 1: User Persona Identification	Avoid the trap of "catering to everyone", find the most valuable target users	4 types of potential user personas + core user judgment (based on repurchase frequency, anti-cyclicality, addictiveness)
Stage 2: Emotional Motivation Analysis	Disassemble users' real motivations from three dimensions: pain points/itch points/pleasure points	Emotional insights that can be directly used in marketing copy
Stage 3: Product Opportunity Conversion	Convert emotional insights into implementable requirements sorted by priority	P0/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.

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
Lean startup thinking: Before investing large costs, use AI to get a preliminary feel and establish a sense of direction
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:

Industry	Suggested Focus
Catering & Food	Physiological experience details, ritual scenarios
SaaS/B2B	Decision chain roles, ROI quantification, risk aversion
E-commerce/Consumer Goods	Social signals, identity projection, pain point copy
Content/Education	Knowledge 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

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SKILL.md Content (Chinese)

Insight - User Demand Insight and Product Opportunity Analysis

Overview

Applicable Scenarios

Core Methodology

Workflow

Step 1: Collect Product Information

Step 2: Generate User Personas

Step 3: In-depth Analysis of Emotional Motivation

Step 4: Generate Product Opportunity List

Complete Case Reference

Case: Spicy Soup & Fried Buns

Important Notes

Correct Usage of AI Output

Value of This Skill

Skill Usage Tips

1. Industry Adaptation Suggestions

2. In-depth Analysis Skills

3. Output Format Selection