Customer Research

Howard-Sheth helps product teams tailor onboarding and retention to each user's knowledge state.

Understanding why respondents quit surveys reveals fixable design failures, not inattention.

AI now lets researchers combine quantitative scale with qualitative depth affordably.

Study design flaws turn Kano Model results into misleading noise.

AI and human researchers together replace slow, expensive studies with speed and local insight.

Buyers themselves define the acceptable price range for truly new products with no market anchor.

A decision framework that stops research briefs from becoming unfocused wish lists.

Criteria-first screening catches unsuitable respondents that questions-first design lets through.

Nested quotas and weighting fix imbalances flat quotas alone cannot catch.