Iterative Testing and Quick Pivoting in Deodorants

SprintAI #1

N:60 Antiperspirant users tested 3 new submission fragrances and 2 competitor fragrances.

Fragrances tested completely blind in a sequential monadic rotation.

Then in paired comparisons with each submission against each competitor.

Result #1:

The submission fragrances all scored lower than both competitors, some significantly so. Back to the drawing board.

The client teams used feedback to develop new submissions and 2 months later they were ready to test again.

SprintAI #2

The exact same test method was used again.

This time we have a clear winner vs. current.

Result #2:

Validation HUT

Top submission from second SprintAI put into large-scale validation HUT.

Clearly superior to current!

Impact:

Approx $50k research saving from passing validation first time.

At least 6 months R&D time saved from early discovery of poor formulation.

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Let’s talk about how our agile solution can help you make faster, data-driven decisions, contact [email protected]