Stanford Root

Schedule

Stanford Root

Schedule

OB 310

Designing Organizations with Analytics and AI

UNITS:3
GRADING:GSB Letter Graded
LEVEL:Graduate
GER:—

This course explores how analytics and AI can help leaders design, diagnose, and adapt organizations. Students will learn to assess whether an organization is aligned with its goals, make better people and management decisions, and update structures and processes as strategy and the external environment change. We will examine analytical techniques with broad applicability, including machine learning, network analysis, natural language processing, and agentic systems. These tools will be introduced through an analytics cycle organized around three activities: perception - understanding what is happening in the organization now; prediction - forecasting what is likely to happen next; and prototyping - testing which interventions are likely to be effective in a given organizational context. The course is hands-on and will rely extensively on group exercises. It is designed for students with a wide range of technical backgrounds. AI-assisted coding tools will make it possible to design, use, and interpret analyses even without prior coding experience, while keeping the emphasis on managerial judgment and organizational design.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Case Study 1Open
ID: 27096
0 / 45 enrolled
DAYS:Monday, Thursday
TIME:1:15 PM – 2:35 PM
LOCATION:Not Applicable
INSTRUCTOR:
Clement, Julien
3units
Case Study 2Open
ID: 27097
0 / 45 enrolled
DAYS:Monday, Thursday
TIME:2:50 PM – 4:10 PM
LOCATION:Not Applicable
INSTRUCTOR:
Clement, Julien
3units

OB 310: Designing Organizations with Analytics and AI

3 units · GSB Letter Graded

This course explores how analytics and AI can help leaders design, diagnose, and adapt organizations. Students will learn to assess whether an organization is aligned with its goals, make better people and management decisions, and update structures and processes as strategy and the external environment change. We will examine analytical techniques with broad applicability, including machine learning, network analysis, natural language processing, and agentic systems. These tools will be introduced through an analytics cycle organized around three activities: perception - understanding what is happening in the organization now; prediction - forecasting what is likely to happen next; and prototyping - testing which interventions are likely to be effective in a given organizational context. The course is hands-on and will rely extensively on group exercises. It is designed for students with a wide range of technical backgrounds. AI-assisted coding tools will make it possible to design, use, and interpret analyses even without prior coding experience, while keeping the emphasis on managerial judgment and organizational design.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Case Study — Monday Thursday 1:15 PM – 2:35 PM — Clement, Julien (Graduate)
  • Case Study — Monday Thursday 2:50 PM – 4:10 PM — Clement, Julien (Graduate)

More OB courses

  • OB 205: Managing Groups and Teams
  • OB 206: Organizational Behavior
  • OB 209: Leadership Laboratory
  • OB 301: The AI-powered Org: Evolution, Rebirth or Death?
  • OB 302: Global Leadership
  • OB 313: Entrepreneurship Inside Existing Organizations
  • OB 318: Leading Through Culture
  • OB 325: Understanding Diversity in Organizations
  • OB 330: Leadership Fellows I
  • OB 331: Leadership Fellows II
  • OB 345: Leadership Coaching
  • OB 348: Leading and Managing Health Care Organizations: Innovation and Collaboration in High Stakes Settings

All OB courses · All departments