Siloed Experiments Trend 2026

Siloed experiments occur when teams test ideas in isolation, without coordinating with other departments or sharing data. This approach is common in large organizations where groups run separate A/B tests on their own metrics. While it allows for rapid, independent validation, it can lead to conflicting results or missed cross-functional insights. Product managers and data scientists benefit from focused insights, but the organization may suffer from fragmented learning.