Maya Farouk

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

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

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

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

Income and age shape which products brands sell, how they price them, and where customers find them.

Statistical significance proves a difference exists.

Weak survey design compounds mistakes faster than speed can catch them.

Match your research method to the question you're trying to answer at each stage.

Skip the methodology debate and match your research method to what you actually need to learn.

Choose your research method based on what you're actually trying to decide, not what's cheapest.

Well-written concepts test ideas before building them, not how persuasive your copy is.

Synthetic panels excel at structured tasks but fail on truly novel products and emotional nuance.

AI-generated respondents pass quality checks while corrupting research datasets.

Recruiting the right participants is more critical than ever when AI conducts the interviews.

AI moderation tools slash the cost and timeline of user research while maintaining depth.

Agile teams built research processes for waterfall timelines.