Industry-Specific

A periodic check-in that measures how often people reflect, how self-aware they feel, and what's actually blocking deeper reflection — paired with an AI follow-up that walks through one real moment of insight instead of vague self-ratings. Built for coaches, HR wellbeing programs, and personal-development tools tracking growth over time.

Captures how employees see their progress at the midpoint of the year — goal status, manager support, obstacles, and priorities for the second half — so managers and HR can course-correct before year-end reviews lock in. An AI follow-up interview reconstructs the real story behind each person's progress rating and top obstacle instead of just the label they picked.

Maps what people actually eat, which cuisines and attributes they favor, and what really drives a food choice in the moment — price, health, convenience, or taste. Built for food brands, restaurants, and meal-kit teams shaping menus or products. An AI follow-up interview reconstructs the last real meal decision instead of relying on stated preferences alone.

Measures how satisfied clients or stakeholders are with a completed or in-flight project — covering scope clarity, timeliness, budget adherence, communication, and deliverable quality — with an AI follow-up that digs into the real story behind the overall rating instead of a generic star score. Built for agencies, consultancies, and internal project teams running post-project or milestone reviews.

Measures how often people watch TV news and read newspapers, which formats and sources they trust most, and what factors drive their choice of news media — with an AI follow-up that uncovers the real story behind rising or falling engagement. Built for media researchers, broadcasters, and publishers tracking audience shifts.

Explores how customers actually use their debit card day to day — spend allocation, fees, fraud concerns, and feature priorities — with an AI follow-up interview that uncovers the real story behind a decline, surprise fee, or trust issue instead of stopping at a satisfaction score. Built for banks, credit unions, and fintechs evaluating their debit card experience.

Compares how current Apple and Samsung owners rate each brand on camera, battery, software, design, and value, then uses a best-worst trade-off and point allocation to surface what actually drives purchase decisions. An AI follow-up interview digs into the real trigger behind brand loyalty or a planned switch. Built for mobile brand and product teams.

Measures how deeply customers feel emotionally tied to your brand — beyond satisfaction or loyalty scores — covering identity, nostalgia, trust, and sense of loss. An AI follow-up interview surfaces the specific memory or moment that created the strongest bond, giving qualitative color behind the numbers.

Explores how people actually spend their free time, how satisfied they are with that balance, and what gets in the way of doing more of what they enjoy. Built for leisure, wellness, media, and lifestyle brands mapping real behavior, not stated preferences — with an AI follow-up that reconstructs a specific recent moment when leisure time fell short.

Measures how donors, volunteers, board members, and program participants feel about a non-profit's transparency, impact, and communication — with an AI follow-up that digs into the real reasons behind loyalty or hesitation instead of surface-level satisfaction scores. Built for development, program, and communications teams.

Measures how people access, experience, and think about STI/STD testing services — testing frequency, comfort with providers, and the practical or emotional barriers that keep people from testing regularly. Built for sexual health clinics and public health teams, with an AI follow-up that digs into the real reasons behind gaps in testing behavior.

Measures how LGBTQ+ audiences and allies encounter and judge queer representation in film, TV, and streaming — how often they see it, where, and whether it feels authentic — with an AI follow-up interview that digs into one specific portrayal that shaped their view. Built for media researchers, studios, and advocacy orgs.

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.

Explores how households think about switching to or expanding renewable energy — current usage, the trade-offs that matter most, and what's holding people back. An AI follow-up interview digs into the real story behind the biggest barrier or motivation a respondent picks, going beyond checkbox answers. Built for utilities, solar installers, and energy programs sizing demand and messaging.

Evaluates how customers research, compare, and buy consumer electronics from your store — covering website usability, price perception, and trust in shipping/support — with an AI follow-up that reconstructs the real decision journey behind their most recent purchase. Built for e-commerce and electronics retail teams optimizing conversion and retention.

Measures how prone employees are to feeling bored or understimulated at work, using a trait-style statement battery, situational triggers, and coping responses. Built for HR, L&D, and people-analytics teams. An AI follow-up interview reconstructs a real recent boring moment to separate personality-driven boredom proneness from fixable role-design problems.

Measures how motivated, supported, and connected colleagues feel day to day, benchmarks a recommend-to-a-friend engagement score, and identifies which drivers (recognition, growth, workload, manager support) matter most. An AI follow-up interview digs into the real story behind each person's score instead of settling for a number.

Evaluates how well your company's internal communications inform, engage, and reach employees across channels like email, town halls, and chat tools. Includes a statement battery and a prioritization exercise, plus an AI follow-up that digs into a specific recent example of a communication that worked or fell short.

Measures how much control people feel they have over key areas of their life — work, money, health, relationships, and time — plus what's driving that feeling. An AI follow-up interview digs into the one domain where control feels lowest, reconstructing a real recent moment instead of relying on abstract self-ratings.

Measures how easy, clear, and satisfying your product's interface is to use in real day-to-day tasks — combining a multi-element usability rating, a trade-off exercise on what to fix first, and an AI follow-up interview that reconstructs the exact moment a user got stuck instead of relying on vague complaints.