Marketing & Growth

Measures how safe, respected, and free from harassment or spam your followers feel when engaging with your brand's social media community — comments, replies, and DMs. Built for social media and community managers who need more than sentiment scores; the AI follow-up interview reconstructs a specific safety experience so you know exactly what to fix in moderation.

Tests how believable, relevant, and differentiating your candidate marketing claims are, using a best-worst trade-off to force priority among competing lines and an AI follow-up that digs into why the top claim landed or fell flat. Built for brand, product marketing, and comms teams validating messaging before a campaign launch.

Explores how comfortable customers are when brands reshare their photos, tags, reviews, or comments in marketing — and what would make them more willing to say yes. Built for marketing, social, and legal teams shaping user-generated-content and permission policies, with an AI follow-up that digs into the specific moment someone felt uneasy or declined.

Explores how parents currently manage their child's email account — what it's used for, what worries them most, and which safety features they'd actually value. An AI follow-up interview digs into the real story behind a recent scare or close call, surfacing details a checklist question can't capture. Built for teams designing kid-safe email or parental-control products.

Tracks how your brand is perceived on key attributes like trust, quality, and value, and identifies which of those attributes actually drive choice through a best-worst trade-off exercise. An AI follow-up interview digs into the story behind the respondent's lowest-rated attribute. Built for brand and marketing teams running recurring pulse checks.

Tracks unaided and aided awareness of a specific ad campaign, where people saw it, what stuck, and whether it moved them to act — for brand and media teams running always-on pulse checks. An AI follow-up interview digs into what respondents actually remember and why, surfacing the story behind the recall numbers.

Measures how subscribers actually read and value your newsletter — open habits, section-by-section ratings, and content priorities — with an AI follow-up that digs into the specific reasons behind promoter or detractor scores instead of generic satisfaction talk. Built for newsletter editors, content marketers, and community teams refining a recurring send.

Measures whether a specific ad gets noticed, understood, and acted on — covering recall, message takeaway, creative appeal, and purchase intent — with an AI follow-up that digs into the real reasons behind stated purchase intent instead of taking the number at face value. Built for marketers testing a campaign, creative concept, or media placement.

Captures gut-level reactions to a logo (or set of logo options): first impression, word associations, attribute fit, and relative preference — plus an AI follow-up that digs into which specific design element (color, shape, type, symbol) is actually driving the reaction. Built for brand, design, and marketing teams validating a new or refreshed mark before launch.

Tracks unaided and aided awareness, consideration, and perceived positioning of your brand versus named competitors among B2B buyers and influencers. Includes a best-worst trade-off on what actually drives vendor choice, plus an AI follow-up that unpacks the reasoning behind recommendation scores. Built to run quarterly for longitudinal tracking.

Gathers feedback from your followers on which platforms they use, what content they value, and whether your social presence influences real purchase decisions. An AI follow-up interview digs into the specific post or content type that stuck with them and why, going beyond generic 'I like your posts' answers.

Measures how often and how favorably customers encounter your brand when they ask AI tools like ChatGPT or Gemini for recommendations, versus competitors. An AI follow-up reconstructs the actual prompts, answers, and buying decisions behind a recent AI-assisted search.

Identifies what actually pushes users toward 5-star versus 1-star app store reviews — crashes, speed, ads, pricing, support — and what specifically would change their rating. Built for product and growth teams; the AI follow-up reconstructs the real incident behind each respondent's rating instead of generic complaints.

Identifies which topics, formats, and channels your audience actually wants more of versus what you're currently producing. Combines trade-off methods like MaxDiff and constant-sum allocation with an AI follow-up that reconstructs a real content moment — what someone consumed, why they stopped or finished it, and what's missing.

Measures whether subscribers actually open, skim, or read your newsletter, what content keeps them subscribed, their ideal send frequency, and what pushes them toward unsubscribing. The AI follow-up digs into the real moment a reader almost unsubscribed, not just the stated reason.

Captures how listeners actually consume your podcast — ideal episode length, topic preferences, ad tolerance, and what would push them to subscribe or share it — with an AI follow-up that digs into the real reason behind their loyalty score instead of a generic satisfaction number.

Measures whether a celebrity or influencer endorsement actually transfers credibility to a brand — covering perceived authenticity, trustworthiness, and purchase influence — with an AI follow-up that unpacks why the pairing does or doesn't feel believable to this specific respondent. Built for brand, marketing, and partnerships teams testing a specific spokesperson or creator campaign.

Tests how a set of logo or visual identity options perform on recognition, brand fit, emotional tone, and head-to-head preference. Built for brand and marketing teams comparing logo candidates or evaluating a redesign, with an AI follow-up that digs into the specific visual cues driving the winning choice instead of just recording a rank.

Reconstructs the full journey behind a considered purchase — how customers first discovered the product, which sources shaped their decision, what nearly stopped them, and how confident they feel now. An AI follow-up rebuilds the actual sequence of events around the moment of hesitation, not just the tidy summary customers give afterward.

Find out why visitors came, whether they got it done, and what nearly stopped them. A short intercept-style survey with task success, effort, and trust measures — plus an AI follow-up that turns 'couldn't find it' into the exact page and word they were looking for.