Study Guide: Chapter 17 — Microworlds: The Technology of the Learning Organization

Core Idea

Microworlds compress time and space so teams can experience the consequences of decisions that would otherwise be too distant to learn from directly — solving the "dilemma of learning from experience." They combine team-dynamics learning with real strategic-complexity learning.

Key Terms

Microworld · transitional object · prediction vs. forecast (Pierre Wack)

Case Summary

Index Computer's $2B sales plan collapses once modeled explicitly — rookie/veteran productivity mix drags growth below $1.5B, echoing People Express. Meadowlands Shelving's price-vs-service impasse: discounting produces a reinforcing decline; investing in service produces a 2-year dip then a turnaround by year 3, because customers need years to experience better service before valuing it.

Application Checklist

• [ ] Before committing to a growth plan, model the implicit assumptions (e.g., steady productivity) explicitly and stress-test them
• [ ] When two people hold opposite, well-evidenced views, check whether they're both right on different time horizons
• [ ] Look for a low-risk simulation or pilot to run a contested strategy forward before committing fully

Self-Test

1. Why couldn't Index's management see their strategic plan's contradiction until it was modeled explicitly?
2. What hidden variable reconciled Seaver's and Henry's opposing views at Meadowlands?
3. What's the difference between a "prediction" and a "forecast," per Pierre Wack?