Industry-Specific

Measures how included, respected, and fairly treated employees feel across belonging, fairness, and access to opportunity, plus whether they've witnessed or experienced exclusionary behavior. Built for HR and DEI teams benchmarking climate over time. The AI follow-up interview reconstructs the specific moment behind a respondent's inclusion score instead of leaving it as just a number.

Measures how employees experience performance reviews, career conversations, and growth opportunities — with an AI follow-up interview that digs into the specific stretch assignments, mentorship moments, or blockers behind their advancement ratings. Built for HR and people leaders benchmarking review quality and career pathing across teams.

Measures how often people shop online, what actually drives a buy-or-abandon decision, and where friction shows up in checkout, delivery, and returns. An AI follow-up interview reconstructs a real recent purchase (or near-purchase) moment instead of relying on generic satisfaction ratings, making it useful for e-commerce and retail teams diagnosing drop-off.

Measures how corporate and organizational sponsors experience your non-profit's communication, recognition, and event execution, and gauges renewal or upgrade intent. Built for development and partnerships teams, with an AI follow-up interview that digs into the real reasons behind a sponsor's loyalty or hesitation, not just the score.

Measures whether employees believe the organization genuinely cares about their satisfaction and wellbeing, based on behavioral signals like manager check-ins and follow-through on feedback rather than stated policy. An AI follow-up reconstructs a specific recent moment behind each respondent's score, surfacing concrete gaps between what leadership says and what employees actually experience.

Captures how graduating students rate their academic experience, career readiness, and likelihood to recommend the institution, with a prioritization exercise on what shaped their time most. An AI follow-up interview digs into the story behind their recommendation score so administrators hear specifics, not just averages.

Gathers employee ratings of senior leadership on vision, decision-making, transparency, and accountability, plus behavioral data on how often leaders are visible day-to-day. An AI follow-up interview digs into the specific decision or moment that most shaped each person's confidence — surfacing concrete evidence behind the scores for HR and the executive team.

Explores how people relate to clothing, what actually drives a purchase decision, and where sustainability and price trade off in the real world. An AI follow-up interview digs into the story behind a recent purchase to separate stated values from actual behavior — built for fashion brands, retailers, and trend researchers.

Explores what people are actually working toward in life — which domains they're prioritizing, how they allocate time and energy, and how confident they feel about progress. An AI follow-up interview digs into the story behind their single most important goal: why it matters and what's really standing in the way. Built for coaches, researchers, and wellbeing programs benchmarking goal-setting behavior.

Measures how well information, decisions, and priorities actually reach employees across teams and levels — covering channels, managers, and cross-department flow. An AI follow-up interview digs into a real recent breakdown to surface what would have actually fixed it, not just abstract complaints.

A classic funnel study for brand and category teams: measures unaided and aided awareness, consideration, recent usage, and attitudes toward your brand versus competitors, plus a purchase-driver trade-off exercise. An AI follow-up interview digs into the reasoning behind consideration and switching decisions — the 'why' that closed-ended funnel questions can't capture.

Assesses how news consumers judge the accountability practices of the outlets they follow — corrections, sourcing, transparency about ownership and conflicts of interest — and prioritizes which practices matter most to trust. An AI follow-up interview reconstructs a specific incident where trust in a news source was gained or lost. Built for newsrooms, media watchdogs, and researchers studying press credibility.

Captures how customers experienced the installation of physical equipment — from scheduling and technician conduct to whether the hardware has performed as promised since setup. An AI follow-up interview digs into the specific moment satisfaction dropped (or held), turning vague complaints into fixable installation-process issues.

Explores how shoppers research, compare, and ultimately choose home electronics — from TVs and laptops to smart appliances — including which factors actually tip the decision, price sensitivity, and satisfaction after the sale. An AI follow-up interview reconstructs the real decision moment instead of just the stated reasons, giving product and marketing teams a clearer read on what to fix or promote.

Captures a client site's readiness before an IT hardware, software, or network installation — infrastructure state, scheduling constraints, and stakeholder concerns. An AI follow-up interview digs into the technical dependencies and edge cases that determine whether installation day goes smoothly, helping IT teams and project managers de-risk the rollout.

Captures why students are leaving — graduating, withdrawing, or transferring — and how satisfied they were with academics, advising, and support services. An AI follow-up interview digs into the specific moment or decision behind their recommendation score, giving administrators concrete, story-level detail instead of just a satisfaction number.

For tour operators and travel agencies to evaluate a specific guided tour or package — covering guide performance, itinerary pacing, value for money, and likelihood to recommend. An AI follow-up interview reconstructs the specific moment behind a traveler's score instead of settling for a generic rating.

Tracks how readers discover, buy, and receive books from your online store — covering selection, pricing, delivery, and format preferences — with an AI follow-up that digs into the story behind their most recent order and their recommendation score. Built for bookstore teams optimizing catalog, fulfillment, and retention.

Captures how guests rate a specific dine-in visit — food, service, ambiance, and value — plus their likelihood to recommend. Built for restaurant owners and hospitality groups, with an AI follow-up interview that digs into the specific dish, moment, or interaction behind a low or high recommendation score instead of leaving it as a number.

Captures how often people do laundry, where they do it, which products they reach for, and what actually drives detergent choice, satisfaction, and brand switching — plus a price-sensitivity check. Built for laundry care brands, appliance makers, and retail teams, with an AI follow-up that reconstructs the real story behind a respondent's last purchase or brand switch.