Industry-Specific

A flexible opinion-poll template for gauging where people stand on a policy, event, or public issue — covering awareness, position, reasoning, and priority concerns. An AI follow-up interview digs into the personal experience or belief behind each respondent's stance instead of just recording a for/against label. Swap in your specific issue and options before launch.

A pre-appointment intake for lash extension clients that captures allergy risk factors, eye health flags, style goals, and lifestyle habits that affect retention. Built for lash studios and freelance lash artists to prep safely and customize the service. The AI follow-up interview digs into the client's past lash experiences and true expectations so artists can set realistic looks and avoid repeat reactions.

A structured intake tool for social workers and case managers to capture a new client's presenting concerns, living situation, safety, and support network at first contact. An AI follow-up interview digs into the client's most urgent need in concrete detail so staff can prioritize referrals and flag anything requiring immediate safety follow-up.

Captures how brokers experience working with your carrier, MGA, or brokerage — quoting speed, commissions, support, and technology — for teams managing broker partnerships. An AI follow-up interview digs into the specific reason behind a broker's lowest rating or recommendation score, surfacing the friction that's actually costing you placed business.

A structured intake tool for clinicians, counselors, and case managers that maps a client's physical health, mood and coping patterns, and social/environmental context into one whole-person profile. An AI follow-up interview explores the client's self-identified top stressor in their own words, surfacing how biological, psychological, and social factors interact in daily life.

A flexible feedback survey for workshops, trainings, retreats, or team activities — covering attendance, facilitator quality, content relevance, and likelihood to recommend, plus an AI follow-up that digs into the specific moment behind each recommendation score so organizers know exactly what to fix or repeat.

A modernized version of the classic Proust Questionnaire — used by media teams, HR and culture leads, and creative agencies to build candid personality profiles for onboarding pages, podcast intros, or team retrospectives. Closed questions capture the classic prompts verbatim; the AI follow-up interview digs into whichever answer sounds most emotionally loaded to surface the real story behind it.

Gathers structured, behavior-specific feedback from colleagues who watched a presentation — covering clarity, delivery, visuals, pacing, and Q&A — plus a trade-off ranking of what most needs work. An AI follow-up interview digs into the specific moment that stood out, turning vague 'good job' feedback into a concrete example the presenter can act on.

A pre-first-session intake for therapy and counseling practices, covering presenting concerns, symptom frequency, daily-life impact, treatment history, and goals for care. An AI follow-up interview explores the story behind the client's main concern — what changed recently, what they've tried, and what a good outcome looks like — so clinicians arrive at session one already oriented.

Measures how employees actually experience company culture — psychological safety, values alignment, manager reinforcement, and day-to-day behavior — not just stated policy. An AI follow-up interview digs into the story behind the most telling rating, surfacing specific moments that a scale alone can't capture.

Captures how customers or clients actually experience your product or service quality — defect frequency, consistency, and the real cost of quality failures — with an AI follow-up that digs into the root cause and impact of their most significant quality issue instead of a generic complaint.

Captures a reader's honest reaction to a specific book — pacing, characters, writing quality, and overall satisfaction — plus an AI follow-up that digs into the moment or decision that actually shaped their rating. Built for publishers, authors, and book clubs who want more than a star rating.

Measures whether a coaching engagement actually moved the needle — session consistency, coach behaviors, goal progress, and likelihood to continue or recommend — for coaching practices and internal L&D teams evaluating a coach or program. An AI follow-up interview digs into the specific breakthrough moment and the biggest gap the coach didn't address.

Captures how job candidates experienced your recruiting and interview process, from job posting through offer or rejection, so talent acquisition teams can spot friction points. An AI follow-up interview reconstructs the specific moment that shaped the candidate's overall impression, surfacing concrete fixes that satisfaction scores alone miss.

Tracks how candidates experienced communication, status visibility, and tools throughout your hiring pipeline, from application to final decision. Built for talent acquisition teams auditing their applicant tracking process, with an AI follow-up that digs into the specific moment communication broke down for lower-scoring candidates.

Captures how clear, well-paced, and engaging a lecture was, plus which specific aspects (pacing, examples, Q&A, materials) students most want improved. An AI follow-up interview digs into a concrete moment the student found confusing or engaging, turning vague 'it was fine' ratings into specifics an instructor can act on.

Captures how patients or clients experienced the nursing care they received — communication, responsiveness, pain management, and discharge preparation — for hospitals, clinics, and home health teams. An AI follow-up interview reconstructs the specific moment that most shaped their overall rating, surfacing concrete coaching moments beyond a satisfaction score.

Identifies which character strengths employees draw on most, how often they get to use them day to day, and what gets in the way of strengths-based work. Built for HR, L&D, and coaching teams running strengths-based development programs — the AI follow-up interview digs into a specific recent moment someone used their top strength, turning self-report scores into concrete, usable examples.

A pre-visit intake for chiropractic practices that captures the presenting complaint, pain history, functional impact, and safety-relevant health background — plus an AI follow-up interview that reconstructs the mechanism of injury and treatment history in the patient's own words before they ever sit in the chair.

Captures structured feedback from interviewers right after a candidate interview — competency ratings, hiring recommendation, and top strengths — plus an AI follow-up that pulls concrete evidence and specific moments behind the recommendation instead of just a gut-feel score. Built for hiring managers and recruiting teams standardizing interviewer feedback across panels.