Designed patterns can rest on very small supporting subgroups: only three orders meet the Price-Rating Sensitivity conditions, with a mean rating of 2.0¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In the WindowDash case, only three orders satisfied both the above-$100 price and above-45-minute delivery-time conditions, and their mean rating of 2.0 provides limited support for the designed pattern. → Bang An 2026

Evidence¶

Bang An 2026¶

Bang An, Maria Hamdani, Joseph Fox. (2026). DataCanvas-EDU: An Agentic Framework for Instructor-Guided Synthetic Data Generation in Business Analytics Education. https://arxiv.org/abs/2609.19617 doi:10.48550/arxiv.2609.19617

q2 · i? · design · r2

Reference-analysis inspection of the WindowDash case data (Figure 7), reported descriptively: the lower mean rating in the slow expensive-order group is based on three observations. The paper states this provides limited support and that a reference explanation should report that limitation alongside the finding.

"Only three orders meet both conditions for the Price-Rating Sensitivity pattern: a price above $100 and a delivery time above 45 minutes. Their mean rating is 2.0."

Discussion¶

Related Claims¶

• AI agents recover a smaller share of reference patterns from the synthetic WindowDash dataset than from the real-world Olist dataset — related
• The Olist and WindowDash simulation inputs are matched in scale and analytical scope, with overlapping distributions but differing duration-rating associations — related