Ice-cream flavors

Sean Ellis's product-market fit question, word for word: how would you feel if you could no longer use this product? If 40% or more of your active users answer very disappointed, that is the benchmark Ellis proposed. A screener ends the survey for anyone who has used the product less than twice in the past two weeks, so the share is read on active users; leave out "N/A: I no longer use it" answers when you calculate it. The Ellis question is followed by a values-laddering AI interview that sees each person's answer, then Ellis's follow-ups: who benefits most, the main benefit, the alternative, and what to improve. Keep the question and audience the same each time you run it, so the scores compare.

Benchmarks how customers perceive your brand against named competitors — consideration, head-to-head ratings, and switching likelihood — then uses an AI follow-up interview to surface the real story behind a preference or switch. Built for product marketing, competitive intelligence, and strategy teams tracking share of consideration.

Measures how often people drink energy drinks, which brands and formats they choose, what drives that choice, and what they'd pay for a new product. Built for beverage brand and category teams, with an AI follow-up interview that reconstructs the real story behind a recent brand switch or purchase decision instead of relying on stated preference alone.

Uncovers what actually drives shoppers to pick and stay loyal to a supermarket — price, freshness, convenience, or rewards — using a best-worst trade-off exercise, a satisfaction battery, and an AI follow-up interview that reconstructs the real story behind a recent switch or near-switch. Built for grocery retail and category insights teams.

Collects stakeholder rankings of proposed product features across three dimensions—impact, urgency, and adoption speed—to provide data-driven input for roadmap prioritization decisions.

Evaluate candidate product or feature names on clarity, appeal, and distinctiveness to identify the strongest option. Designed for product and UX teams conducting comparative name testing with target users.