Market Research

Measures how prepared people feel for retirement — perceived savings adequacy, understanding of plan mechanics, and where they turn (or don't turn) for advice. Built for financial services, benefits, and wealth-management teams. An AI follow-up probes the reasoning behind the respondent's confidence score, surfacing the specific knowledge gaps and unmet advice needs that generic satisfaction scores miss.

A general-purpose consumer study covering category usage, brand awareness, buying criteria, and willingness to pay — the workhorse market research questionnaire, upgraded with unaided-first question order, a screener, and AI probing of the purchase story behind the checkboxes.

Map your brand's personality on classic semantic differential scales — traditional vs. innovative, corporate vs. human, premium vs. affordable — and compare against a competitor. The AI interviewer chases the associations behind the ratings, so you learn where the perception comes from.

Paste your landing page copy, ad, or email and see exactly which phrases pull people in and which lose them: respondents highlight the words that resonate and the words that create doubt, then an AI interviewer probes why. Sharper than a star rating on the whole block.

A voice AI debrief for closed deals — won or lost. Buyers tell an AI interviewer things they'd never tell the salesperson: the real decision criteria, who else was in the running, where the pitch missed, and what nearly changed the outcome. Structured questions make results comparable across deals.

A voice AI discovery interview that follows Mom Test rules automatically: past behavior, not hypotheticals; specifics, not compliments. It asks about the last time the problem happened, what it cost, and what they've already tried — the questions founders forget to ask when a polite prospect starts flattering their idea.

A choice-based conjoint that shows respondents realistic product profiles built from attributes and levels — plan tier, price, support, contract terms — and measures which combinations win. AI follow-ups capture the reasoning behind choices that a choice matrix alone can't explain.

Force real trade-offs with best-worst scaling: respondents pick the most and least valuable feature in rotating sets, then an AI interviewer probes the reasoning behind their top pick. Produces a true preference ranking instead of everything-is-important rating inflation.

Prioritize waitlist signups by qualifying use case fit, urgency, decision authority, and advocacy potential. Designed for pre-launch SaaS and tool-based products targeting founders and early-stage teams.

Measures how clearly, credibly, and compellingly a value proposition communicates to target audiences, identifying perceived benefits, barriers to action, and messaging improvements to optimize conversion.

Measures category usage patterns, occasion drivers, unmet needs, and brand perceptions to benchmark competitive positioning. Suitable for market researchers conducting brand health or category landscape studies.

Measures what motivates leisure travelers' destination choices, what constrains them, and how they allocate time and budget—designed for DMOs, tourism boards, and travel brands conducting market segmentation research.

Identifies operational challenges across cash flow, marketing, hiring, and software tools among small business owners and freelancers to inform fintech product strategy and feature prioritization.

Measures brand awareness, perception shift, and purchase intent following a corporate rebrand. Designed for market researchers benchmarking post-rebrand lift against baseline data and identifying messaging risks across key consumer segments.

Measures speed, accuracy, staff hospitality, and overall satisfaction for fast-food drive-thru visits to identify key experience drivers and improvement priorities.

Measures product-market fit among active users using the Sean Ellis 'very disappointed' framework, supplemented by usage patterns, competitive alternatives, and qualitative feedback to identify fit signals and improvement priorities.

A structured instrument for validating pain points, mapping current workarounds, and testing solution concept appeal with early adopter segments. Designed for product and market research teams conducting pre-launch validation in 6–9 minutes.

Identifies and ranks the most pressing operational challenges faced by startup founders and operators, measuring frequency, severity, and willingness-to-pay to inform product roadmap and pricing decisions.

Measures consumer price thresholds across single and multipack sizes using price sensitivity methodology. Identifies acceptable price ranges, purchase frequency, and pack-size preferences to inform pricing strategy.

A concept-testing instrument for restaurants evaluating new menu items. Measures appeal, perceived uniqueness, willingness to pay, and purchase intent across up to three concepts, with qualitative probing for optimization insights.