Case Interview Setup: First 5 Minutes
The first 5 minutes set the tone for the rest of the interview. We cover the essential mechanics of the launch: recapping the prompt to ensure alignment, asking high-value clarifying questions, and—most importantly—stating an initial Hypothesis. Learn how to start the case with a strong point of view, just like a consultant starts a project.
Key Tips for Your First 100 Days
Nail your onboarding with a tactical checklist for building essential relationships, setting expectations, and delivering early wins.
Key Skills to Prioritize in Year 1
Focus your development efforts on the few core competencies—like structured thinking and executive presence—that drive promotions and impact.
Walk through to Roles in AI — How It Differs from Traditional Tech
This guided session introduces you to key roles like research engineer, forward deployed engineers, and different GTM jobs at AI companies and how to think about them.
Which AI job is the right fit for me personally?
A guided walkthrough discussing how to view different jobs like research engineer, forward deployed engineers, and different GTM roles and which one might be a fit for you based on your skillset and experience.

BCG Casey Chatbot 10 – National Health Trust (Ministry of Health)
Practice test 10

BCG Casey Chatbot 7 – Metro Financial Group (UCB)
Practice test 7

BCG Casey Chatbot 8 – Lifeguard (Vivita Project Wapple)
Practice test 8

BCG Casey Chatbot 1 – PolarTech (Edison)
Practice test 1

BCG Casey Chatbot 4 – Transitz (Mover)
Practice test 4

BCG Casey Chatbot 3 – Novofoods (Mildana)
Practice test 3

BCG Casey Chatbot 5 – AeroView (Spacescan)
Practice test 5

BCG Casey Chatbot 2 – Interstate Highway Corp (Highroad)
Practice test 2

US-Style Networking: How To Land a Job in the States
Networking is one of the most powerful tools for landing opportunities in the U.S.—but it often looks very different from what international students and professionals are used to. In this workshop, Leland coaches Fiona T. (expert in finance recruiting), Madhuri M. (former hiring manager at Adobe), and Alyssa T. (Bain consultant) will break down the unique culture of U.S.-style networking and share practical strategies for building authentic connections that open doors to jobs and internships.
Turning AI Learning into Real Results
Apply course concepts to identify your first pilot and define measurable next steps.

How Might We Examples: 12 Companies Across B2B & B2C Industries
Comprehensive examples guide showing Meh → Better → Best HMW progression for 12 real companies across diverse industries: EdTech (Udemy), Personal Finance (Mint), Wellness (Headspace), Food Delivery (DoorDash), Fitness (Peloton), Collaboration (Slack), Sales (HubSpot), Recruiting (Lever), Analytics (Mixpanel), Customer Success (Zendesk), DevOps (GitHub), and Finance (Brex). Each example includes the customer insight, three HMW versions with explanations of why each works or doesn't, and industry-specific patterns.
Why AI? Setting the Foundation
Understand the purpose of AI in organizations and how a people-first approach drives lasting value.

How Might We Framework Summary Guide
Reference covering what HMW is, how to write HMW statements step-by-step, good vs. bad examples with explanations, common mistakes to avoid (prescribing solutions, being too vague, ignoring research), insights for creating your own HMWs, and validation checklist. Use this to turn each key insight into 2-3 different HMW framings and select the most inspiring ones.

Customer Discovery Interview Guide: Questions, Structure & Best Practices
Complete interview reference guide with all key questions organized by interview stage (context, jobs to be done, future state), red flags vs. green flags to watch for, and preparation checklist. Use this before every interview to stay focused on learning truth rather than seeking validation.
Synthesizing Interview Discoveries into Useful Insights
Learn how to consolidate interview data, identify patterns (problem, solution, pain point, language, and buyer patterns), prioritize insights using frequency × urgency framework, validate your JTBD statement with real customer language, and make three critical decisions: Is this worth solving? What's the MVP? Who do we build for first?