Team Meeting Scheduling Availability Poll

A pre-session intake for therapy and counseling practices that captures presenting concerns, symptom frequency, safety screening, and personal goals before the first appointment. An AI follow-up interview explores the client's own account of what's going on and what they hope will change, giving clinicians richer context than checkboxes alone before the first session.

Maps when employees are genuinely available and willing to meet, how their meeting time actually breaks down, and where scheduling friction eats into focus work. An AI follow-up interview digs into one specific recent meeting that went wrong and what would have fixed it. Built for ops, IT, and people teams auditing meeting culture.

Measures how people actually schedule, reschedule, and coordinate meetings today — time spent, satisfaction with current tools, and which features would save the most time. Built for product and operations teams evaluating or building meeting planning software. An AI follow-up interview reconstructs a specific recent scheduling breakdown instead of relying on a generic satisfaction score.

Captures how customers actually book appointments through your online scheduling tool — preferred days, times, and devices, plus where the process breaks down. Includes an AI follow-up that reconstructs the last booking attempt step by step to surface friction points a satisfaction score alone would miss. Built for clinics, salons, service businesses, and B2B teams that manage bookings online.

Measures how easily event planners and renters can discover, confirm, and book available dates at your venue — from first inquiry to final confirmation. The AI follow-up interview reconstructs exactly where the booking process broke down for people who struggled to find or lock in an open slot, so you can fix the friction points that cost you bookings.

Measures how well meetings are planned, run, and followed up on — cadence, agenda discipline, and the biggest time-wasters — for teams and ops leaders auditing their meeting culture. An AI follow-up interview reconstructs a recent unproductive meeting to surface the specific root cause behind the numbers.