The client operates both diaper and pull-up product lines. Intuitively, if a material supplier performs well in the diaper project, the same supplier and material should transfer directly to the pull-up project — same material, same supplier, same quality.
Our cross-category testing data thoroughly overturned this intuition. In competitive analysis, we tracked the same brand's performance migration from diapers to pull-ups. The most extreme case: a brand whose key dryness metric ranked at the top in the diaper category (under 1g) saw the same metric in its pull-up product collapse by over 40× — because the pull-up version omitted the ADL layer, downgraded the topsheet material, and used a different SAP specification. Same brand, same consumer perception, but completely different engineering reality.
The supply chain implication: even if a material has passed full validation in a diaper project, it still requires independent, complete performance verification in a pull-up project. Product form factor differences (pull-ups' elastic systems, put-on/take-off mechanics, liquid distribution patterns all differ from diapers) mean the material faces a different engineering environment — performance does not automatically transfer.
For the client, this means the efficiency of supply chain consolidation (one supplier serving both categories) must be conditional on cross-category verification — not a post-hoc "confirmation" but a pre-requisite "re-test." This increases short-term workload but prevents the brand risk of "works in diapers, fails in pull-ups."
