Mockingjay · Case Arena

The Second Opinion,
Judged by Data.
嘲笑鸟 · 案例竞技场 —— 用数据给出第二意见

Yidan Wang — Business Management × Computer Science × AI
Driving Business Decisions with Data.
王怡丹 —— 商业管理 × 计算机 × AI,用数据驱动商业决策。

“Case teaching gives you the first opinion. I use data to deliver the second.”

“案例教学给的是第一意见,我用数据给出第二意见。”

IVEY CASE METHOD × 120 CASES × AI AS REFEREE
Ivey 案例方法 × 120 个真实案例 × AI 当裁判 · 案例在 2028.09 进 Ivey 前全部跑完

The Only Pain Point 唯一痛点

Case Teaching Has No Referee.案例教学没有裁判

Read the case → write the analysis → discuss in class → professor comments → class ends. Across hundreds of cases, a student never once hears “you were right” or “you were wrong.” Practice without feedback does not improve — this product fixes exactly that one link.
读案例 → 写分析 → 课堂讨论 → 教授点评 → 下课。几百个案例讨论下来,从没有人告诉她“你对了/你错了”。没有反馈的练习不会进步——这个产品只补这一环。

What the case method gives 案例教学给的

A simulation of reality. Many possible answers, no stated conclusion — inference as the primary skill.
对真实情况的模拟:答案不唯一、案例不给结论,推理是第一技能。

What it never gives 它永远不给的

What happened next in the real world. Whether the decision actually worked. A verdict.
真实世界里这个决策后来怎么样了;当年做没做对;一个裁决。

She decides. Data referees.她做决策,数据当裁判。

The Ladder 案例阶梯

120 Cases, One Arena.120 案 · 一条阶梯

Easy first: bilingual cases, familiar brands, single decision points lead; industry distance, data complexity and ambiguity rise tier by tier. One case per week in term time, two per week over the long summer and reading breaks — all 120 cleared before Ivey, September 2028.
简单的排前面:中英对照、熟悉品牌、决策点单一者先行;行业陌生度、数据复杂度、决策模糊度逐层上升。学期中每周一案,暑假(5–8 月)与阅读周每周两案,2028 年 9 月进 Ivey 前全部跑完。

The Referee Loop 裁判循环

Same Loop, Every Case.每案同一个循环

Demonstrated with Case 000 — Tim Hortons: Bringing an Iconic Canadian Coffee to China. Step through the loop as a player would, or play it live on the ladder wall.
以第 000 案《蒂姆·霍顿斯:把加拿大国民咖啡带到中国》为例演示。点击四个步骤速览,或到阶梯墙里真打一局。

DEMO WITH PUBLIC RECORDS ONLY 演示仅使用公开记录(SEC 文件、公开报道),案例原文不分发。

Scoreboard 记分牌

The Odds Curve Is the Transcript of Judgment.胜率曲线,就是判断力的成绩单

The scoreboard is not a feature — it is a by-product. Every case that completes the loop writes one entry; 120 cases over two years compound into her decision-accuracy curve.
记分牌不是功能,是副产品:循环每跑一案记一笔,120 案 × 两年自然攒出她的判断准确率曲线。

SAMPLE TRAJECTORY 示意轨迹(真实曲线自第 001 案起跑后生成)

记录含每案的选择、把握度、训练分、用时与完成时间。

0 / 120
CASES CLEARED 已完成案数
1–12
TRAINING SCORE PER CASE 每案训练分
< 60 min
PER ROUND 每局全程上限(阅读≤30分钟)
Self only
THE ONLY OPPONENT 只跟上一案的自己比
Behind the Curtain 后台方法

AI Behind the Curtain, Phased In.AI 后台裁判 · 分阶段上场

Early cases need only one strong model behind the referee. As the ladder climbs, cross-validation kicks in — ChatGPT, Claude and the leading Chinese models debate in rounds, disagreements go deep, and “Option D: defer the decision” always stays a legal answer. All backstage, invisible to the user.
前期案例只需一个强模型当裁判;阶梯往上走,再上交叉验证——ChatGPT、Claude 与中国领先大模型分立场辩论,分歧点深挖,“选项 D:暂不决策”永远是合法答案。全部藏在后台,界面不可见。

ChatGPT
OpenAI 现阶段主力 · Phase 1
Claude
Anthropic 后期交叉辩论 · Phase 2+
Gemini
Google 动态席 · Phase 2+
China's Top LLM
中国领先大模型 · 动态席 · Phase 2+