Social confidence Likert scale

A nonpartisan pulse-check on what's driving voters ahead of the 2026 midterms: which issues matter most, how affordability is hitting household budgets, what qualities voters want in a candidate, and how likely they are to turn out. An AI follow-up digs into the concrete, personal reason behind each respondent's top issue instead of a generic label.

A flexible agree-disagree battery for measuring attitudes toward a product, policy, workplace practice, or service — built around a classic multi-statement rating grid. Swap in your own statements, then let the AI follow-up dig into the reasoning behind whichever statement swayed the respondent's opinion most, closed or neutral answers included.

A general-purpose Likert-scale instrument skeleton for graduate dissertation research, pairing validated-style attitude, norm, and intention batteries with an AI follow-up that probes the reasoning behind attitude-behavior gaps. Built for thesis researchers to adapt with their own constructs; demographics are collected last for clean subgroup analysis.

A modernized version of the classic Proust Questionnaire — used by media teams, HR and culture leads, and creative agencies to build candid personality profiles for onboarding pages, podcast intros, or team retrospectives. Closed questions capture the classic prompts verbatim; the AI follow-up interview digs into whichever answer sounds most emotionally loaded to surface the real story behind it.

Assesses core work-style traits—organization, sociability, adaptability, decision-making, and stress response—through rating scales, a values ranking, and a trade-off allocation exercise. Built for hiring, team formation, or coaching contexts. An AI follow-up interview asks about one real recent situation to check whether stated preferences match actual behavior under pressure.

A fast, in-the-moment feedback survey using simple smiley-face ratings across the key touchpoints of a visit (overall experience, staff, speed, environment) — built for retail, hospitality, healthcare, and other service settings. An AI follow-up interview digs into the 'why' behind the overall rating so low scores aren't a mystery and high scores reveal what to protect.