case-study-writing

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Case Study Writing

B2B案例研究撰写

Create compelling B2B case studies with research and visuals via inference.sh CLI.

通过inference.sh CLI工具，结合调研与可视化内容创作有说服力的B2B案例研究。

Quick Start

快速开始

bash

curl -fsSL https://cli.inference.sh | sh && infsh login

bash

curl -fsSL https://cli.inference.sh | sh && infsh login

Research the customer's industry

调研客户所在行业情况

infsh app run tavily/search-assistant --input '{ "query": "SaaS customer onboarding challenges 2024 statistics" }'

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infsh app run tavily/search-assistant --input '{ "query": "SaaS客户入职流程挑战2024统计数据" }'

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The STAR Framework

STAR框架

Every case study follows: Situation -> Task -> Action -> Result

Section	Length	Content	Purpose
Situation	100-150 words	Who the customer is, their context	Set the scene
Task	100-150 words	The specific challenge they faced	Create empathy
Action	200-300 words	What solution was implemented, how	Show your product
Result	100-200 words	Measurable outcomes, before/after	Prove value

Total: 800-1200 words. Longer loses readers. Shorter lacks credibility.

每份案例研究均遵循：情境（Situation）→ 任务（Task）→ 行动（Action）→ 结果（Result）

章节	篇幅	内容	目的
情境	100-150词	客户身份、业务背景	搭建故事场景
任务/挑战	100-150词	客户面临的具体难题	引发读者共情
行动/解决方案	200-300词	落地的解决方案及实施方式	展示产品价值
结果	100-200词	可量化的成果、前后对比	证明实际价值

总篇幅：800-1200词。过长会流失读者，过短缺乏可信度。

Structure Template

结构模板

1. Headline (Lead with the Result)

1. 标题（以成果为核心）

❌ "How Company X Uses Our Product"
❌ "Company X Case Study"

✅ "How Company X Reduced Onboarding Time by 60% with [Product]"
✅ "Company X Grew Revenue 340% in 6 Months Using [Product]"

The headline should be specific, quantified, and state the outcome.

❌ "X公司如何使用我们的产品"
❌ "X公司案例研究"

✅ "X公司如何通过[产品]将入职时间缩短60%"
✅ "X公司借助[产品]在6个月内实现营收340%增长"

标题需具体、量化，明确展示成果。

2. Snapshot Box

2. 快照信息框

Place at the top for skimmers:

┌─────────────────────────────────────┐
│ Company: Acme Corp                  │
│ Industry: E-commerce                │
│ Size: 200 employees                 │
│ Challenge: Manual order processing  │
│ Result: 60% faster fulfillment      │
│ Product: [Your Product]             │
└─────────────────────────────────────┘

放置在顶部供快速浏览：

┌─────────────────────────────────────┐
│ 公司：Acme Corp                  │
│ 行业：电子商务                │
│ 规模：200名员工                 │
│ 挑战：手动订单处理  │
│ 成果：履约效率提升60%      │
│ 使用产品：[你的产品]             │
└─────────────────────────────────────┘

3. Situation

3. 情境

Who is the customer (industry, size, location)
What relevant context existed before the problem
1-2 sentences of company background

客户基本信息（行业、规模、地域）
问题出现前的相关业务背景
1-2句公司简介

4. Task / Challenge

4. 任务/挑战

Quantify the pain: "spending 40 hours/week on manual data entry" not "had data problems"
Show stakes: what would happen if unsolved (lost revenue, churn, missed deadlines)
Include a customer quote about the frustration

量化痛点：用“每周花费40小时处理手动数据录入”替代“存在数据问题”
明确影响：说明问题未解决的后果（营收损失、客户流失、错过截止日期）
加入客户关于痛点的引用

5. Action / Solution

5. 行动/解决方案

What was implemented (your product/service)
Timeline: "deployed in 2 weeks" / "3-month rollout"
Key decisions or configurations
Why they chose you over alternatives (briefly)
2-3 specific features that addressed the challenge

落地的具体方案（你的产品/服务）
实施周期：“2周内部署” / “3个月逐步推广”
关键决策或配置细节
简要说明客户选择你的原因（对比竞品）
2-3个解决核心痛点的具体功能

6. Results

6. 结果

Before/after metrics — always quantified
Timeframe — "within 3 months" / "in the first quarter"
Unexpected benefits beyond the original goal
Customer quote about the outcome

前后对比数据 — 始终量化呈现
时间周期 — “3个月内” / “第一季度内”
超出初始目标的额外收益
客户关于成果的引用

Metrics That Matter

关键指标呈现

How to Present Numbers

数据展示方式

❌ "Improved efficiency"
❌ "Saved time"
❌ "Better results"

✅ "Reduced processing time from 4 hours to 45 minutes (81% decrease)"
✅ "Increased conversion rate from 2.1% to 5.8% (176% improvement)"
✅ "Saved $240,000 annually in operational costs"

❌ "提升了效率"
❌ "节省了时间"
❌ "取得了更好的结果"

✅ "处理时间从4小时缩短至45分钟（减少81%）"
✅ "转化率从2.1%提升至5.8%（增长176%）"
✅ "每年节省运营成本24万美元"

Metric Categories

指标分类

Category	Examples
Time	Hours saved, time-to-completion, deployment speed
Money	Revenue increase, cost reduction, ROI
Efficiency	Throughput, error rate, automation rate
Growth	Users gained, market expansion, feature adoption
Satisfaction	NPS change, retention rate, support tickets reduced

分类	示例
时间	节省时长、完成周期、部署速度
成本	营收增长、成本降低、投资回报率（ROI）
效率	吞吐量、错误率、自动化率
增长	用户增长、市场拓展、功能使用率
满意度	NPS变化、留存率、支持工单减少量

Data Visualization

数据可视化

bash

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Generate a before/after comparison chart

生成前后对比图表

infsh app run infsh/python-executor --input '{ "code": "import matplotlib.pyplot as plt\nimport matplotlib\nmatplotlib.use("Agg")\n\ncategories = ["Processing Time", "Error Rate", "Cost per Order"]\nbefore = [4, 12, 8.50]\nafter = [0.75, 1.5, 2.10]\n\nfig, ax = plt.subplots(figsize=(10, 6))\nx = range(len(categories))\nwidth = 0.35\nax.bar([i - width/2 for i in x], before, width, label="Before", color="#ef4444")\nax.bar([i + width/2 for i in x], after, width, label="After", color="#22c55e")\nax.set_ylabel("Value")\nax.set_xticks(x)\nax.set_xticklabels(categories)\nax.legend()\nax.set_title("Impact of Implementation")\nplt.tight_layout()\nplt.savefig("results-chart.png", dpi=150)\nprint("Chart saved")" }'

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Customer Quotes

客户引用

What Makes a Good Quote

优质引用标准

❌ "We love the product." (vague, could be about anything)
❌ "It's great." (meaningless)

✅ "We went from processing 50 orders a day to 200, without adding a single person to the team."
   — Sarah Chen, VP Operations, Acme Corp

✅ "Before [Product], our team dreaded Monday mornings because of the report backlog.
    Now it's automated and they can focus on actual analysis."
   — Marcus Rodriguez, Head of Analytics, DataCo

❌ "我们喜欢这个产品。"（模糊，适用于任何场景）
❌ "它很棒。"（无实际意义）

✅ "我们的日订单处理量从50单提升至200单，且未新增任何团队人员。"
   —— Sarah Chen，Acme Corp运营副总裁

✅ "在使用[产品]之前，团队每个周一都要面对堆积的报告，苦不堪言。现在报告实现自动化，他们可以专注于真正的分析工作。"
   —— Marcus Rodriguez，DataCo analytics主管

Quote Placement

引用放置位置

1 quote in the Challenge section — about the frustration/pain
1-2 quotes in the Results section — about the outcome/transformation
Always attribute: full name, title, company

挑战章节1处引用 — 关于痛点与困扰
成果章节1-2处引用 — 关于成果与转变
始终标注：全名、职位、公司

Quote Formatting

引用格式

markdown

> "We went from processing 50 orders a day to 200, without adding anyone to the team."
>
> — Sarah Chen, VP Operations, Acme Corp

markdown

> "我们的日订单处理量从50单提升至200单，且未新增任何团队人员。"
>
> —— Sarah Chen，Acme Corp运营副总裁

Research Support

调研支持

Finding Industry Context

行业背景调研

bash

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bash

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Industry benchmarks

行业基准数据

infsh app run tavily/search-assistant --input '{ "query": "average e-commerce order processing time industry benchmark 2024" }'

infsh app run tavily/search-assistant --input '{ "query": "2024年电子商务订单处理时长行业基准" }'

Competitor landscape

竞品格局

infsh app run exa/search --input '{ "query": "order management automation solutions market overview" }'

infsh app run exa/search --input '{ "query": "订单管理自动化解决方案市场概况" }'

Supporting statistics

支撑数据

infsh app run exa/answer --input '{ "question": "What percentage of e-commerce businesses still use manual order processing?" }'

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infsh app run exa/answer --input '{ "question": "仍在使用手动订单处理的电商企业占比多少？" }'

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Distribution Formats

多渠道分发格式

Format	Where	Notes
Web page	/customers/ or /case-studies/	Full version, SEO-optimized
PDF	Sales team, email attachment	Designed, downloadable, gated optional
Slide deck	Sales calls, presentations	5-8 slides, visual-heavy
One-pager	Trade shows, quick reference	Snapshot + key metrics + quote
Social post	LinkedIn, Twitter	Key stat + quote + link to full
Video	Website, YouTube	Customer interview or animated

格式	分发渠道	注意事项
网页	/customers/ 或 /case-studies/	完整版，适配SEO
PDF	销售团队、邮件附件	专业排版，可下载，可选 gated（需留资获取）
幻灯片	销售沟通、演示场景	5-8页，侧重可视化
单页简报	展会、快速参考	快照+核心指标+引用
社交媒体帖文	LinkedIn、Twitter	核心数据+引用+完整版链接
视频	官网、YouTube	客户访谈或动画形式

Social Media Snippet

社交媒体片段示例

Headline stat + brief context + customer quote + CTA

Example:
"60% faster order processing.

Acme Corp was drowning in manual fulfillment. 4 hours per batch. 12% error rate.

After implementing [Product]: 45 minutes per batch. 1.5% errors.

'We went from 50 orders a day to 200 without adding headcount.' — Sarah Chen, VP Ops

Read the full story → [link]"

核心数据 + 简短背景 + 客户引用 + 行动号召

示例：
"订单处理效率提升60%。

Acme Corp曾深陷手动履约困境：每批订单耗时4小时，错误率12%。

使用[产品]后：每批订单耗时45分钟，错误率1.5%。

'我们的日订单处理量从50单提升至200单，且未新增任何团队人员。' —— Sarah Chen，运营副总裁

阅读完整故事 → [链接]"

Writing Checklist

撰写检查清单

Common Mistakes

常见误区

Mistake	Problem	Fix
No specific numbers	Reads like marketing fluff	Quantify everything
All about your product	Reads like a sales pitch	Story is about the CUSTOMER
Generic quotes	No credibility	Get specific, attributed quotes
Missing the "before"	No contrast to show impact	Always show the starting point
Too long	Loses reader attention	800-1200 words max
No customer approval	Legal/relationship risk	Always get sign-off

误区	问题	解决方法
无具体数据	读起来像营销空话	所有内容尽量量化
过度聚焦自家产品	读起来像销售话术	故事核心是客户，而非产品
通用化引用	缺乏可信度	获取具体、带标注的引用
缺少“之前”的数据	无法体现实际价值	始终展示初始状态
篇幅过长	流失读者注意力	控制在800-1200词以内
未获客户确认	存在法律/合作风险	始终获取客户签字确认

case-study-writing

Original

Translation

Case Study Writing

B2B案例研究撰写

Quick Start

快速开始

Research the customer's industry

调研客户所在行业情况

The STAR Framework

STAR框架

Structure Template

结构模板

1. Headline (Lead with the Result)

1. 标题（以成果为核心）

2. Snapshot Box

2. 快照信息框

3. Situation

3. 情境

4. Task / Challenge

4. 任务/挑战

5. Action / Solution

5. 行动/解决方案

6. Results

6. 结果

Metrics That Matter

关键指标呈现

How to Present Numbers

数据展示方式

Metric Categories

指标分类

Data Visualization

数据可视化

Generate a before/after comparison chart

生成前后对比图表

Customer Quotes

客户引用

What Makes a Good Quote

优质引用标准

Quote Placement

引用放置位置

Quote Formatting

引用格式

Research Support

调研支持

Finding Industry Context

行业背景调研

Industry benchmarks

行业基准数据

Competitor landscape

竞品格局

Supporting statistics

支撑数据

Distribution Formats

多渠道分发格式

Social Media Snippet

社交媒体片段示例

Writing Checklist

撰写检查清单

Common Mistakes

常见误区

Related Skills

相关技能