Graduation Exit Poll: Student Experience & Outcomes

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.

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.

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 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.