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Apply network economics to analyze markets with network effects, critical mass dynamics, and platform competition.
Passed 7 of 22 test cases with the skill, and 7 of 22 without it.
1 fixed17 passed either way4 still failing0 broke
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A test case the skill fixed. Same model, same prompt, with and without the skill.
BeanCraft Coffee runs a paper punch-card loyalty program where customers earn a free drink after ten purchases. The marketing team wants to analyze this program as a two-sided network platform with cross-side network effects between coffee drinkers and baristas. How should an economic analyst evaluate this loyalty scheme?
| Checked | Without skill | With skill |
|---|---|---|
| The evaluation classifies the loyalty card as a traditional customer retention scheme rather than a network effect platform. | Missed | Passed |
| The evaluation states that individual customer utility does not increase with the total number of other cardholders. | Missed | Passed |
The instructions your model reads when the skill loads.
Network economics studies markets where the value of a product or service increases with the number of users. Direct network effects (telephones, social networks) mean each additional user benefits all existing users; indirect network effects (platforms, operating systems) arise when a larger user base attracts more complementary products. These effects create demand-side economies of scale, winner-take-most dynamics, and path dependence that fundamentally alter competitive strategy compared to conventional markets.
IRON LAW: In network markets, the best technology does NOT always win —
installed base and expectations matter more than intrinsic quality.
Early leads compound via positive feedback loops, and switching costs
create path dependence that can lock in inferior standards.
Step 1 — Identify Network Effect Type and Strength Classify: direct (same-side: user-to-user) vs. indirect (cross-side: user-to-complement). Estimate the strength of the network effect by examining how marginal user value changes with network size. Check for negative network effects (congestion, spam) that may cap growth.
Step 2 — Map the Adoption Dynamics
test cases passed, vs 7 / 22 without
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