Employee & HR

Confirms employees understand and accept the terms of their company laptop agreement — device care, data security, personal use limits, and return obligations — while capturing current equipment condition. An AI follow-up interview probes real-world edge cases (travel, shared devices, public wifi) to surface where policy understanding actually breaks down.

For HR partners and managers to audit a single employee separation right after it happens: were final pay, access revocation, property return, and exit paperwork all completed on time? The AI follow-up interview probes what caused any delays or missteps so process gaps get fixed before the next termination.

Measures how confident employees are that they're paid correctly and on time, where payroll errors and confusion actually happen, and how easy it is to get help when something looks wrong. An AI follow-up interview reconstructs the most recent payroll issue an employee ran into, step by step, instead of relying on a vague satisfaction score. Built for HR and payroll teams auditing their process.

Captures the business case, urgency, and role requirements behind a hiring manager's request for a new staff position, so HR can prioritize openings and staff the recruiting pipeline correctly. An AI follow-up interview digs into what happens if the role stays unfilled and where trade-offs on candidate qualifications are acceptable.

Evaluates how employees experience your organization's guarantor requirement — for salary advances, employment bonds, or equipment custody — including clarity, difficulty finding a guarantor, and perceived fairness. An AI follow-up interview reconstructs what actually slowed or complicated the process, giving HR concrete input for simplifying or replacing it.

Gathers manager, peer, and direct-report perspectives on how clearly, openly, and effectively someone communicates day to day. Combines a behavior-frequency rating battery with a best-worst skill-priority exercise and an AI follow-up interview that surfaces a concrete recent example behind the respondent's lowest rating, turning vague impressions into specific, coachable feedback.

A voluntary, confidential survey for HR and benefits teams to understand employees' current health-related work accommodation needs and wellness-benefit priorities — not a diagnostic or pre-employment screening tool. The AI follow-up interview explores accommodation gaps and barriers respondents might not fully describe in a closed-ended answer, so support can be tailored rather than generic.

Captures core new-hire registration details alongside a quick pulse on how clear, fast, and frustration-free the paperwork and setup process felt. Built for HR and People Ops teams standing up onboarding flows, with an AI follow-up interview that pinpoints exactly which registration step caused friction and what would have made it smoother.

Measures how well your organization's VoIP phone system supports day-to-day work — call quality, reliability, feature usefulness, and IT support — for teams that rely on it to communicate internally and with customers. An AI follow-up interview reconstructs the most disruptive call issue employees actually experienced, not just how they'd rate it.

Measures how often employees get coached, which manager behaviors actually land, and which coaching topics matter most to them — built for HR and people-development teams. The AI follow-up interview reconstructs a real recent coaching conversation to surface what's driving (or blocking) impact, instead of relying on generic satisfaction scores.

A multi-rater (self, manager, peer, direct report) survey that measures how well someone identifies root causes, weighs options, uses data, and makes sound decisions under pressure. Combines a behavior-frequency battery and a strengths/development trade-off with an AI follow-up that digs into one concrete example instead of vague impressions. Built for HR teams running competency-based 360 reviews.

Captures detailed, behavior-based nominations for employee recognition or awards programs — including the specific story behind each nomination — for HR teams and recognition committees. An AI follow-up interview digs into the concrete example nominators give, drawing out impact and quotes that a checkbox form alone would miss.

Measures how engaged, supported, and likely to stay your employees are — covering manager support, recognition, growth opportunities, and turnover risk — with an AI follow-up that digs into the specific reason behind each employee's recommendation score instead of settling for a number.

A structured performance review for hotel staff — front desk, housekeeping, food & beverage, and more — covering guest service, teamwork, reliability, and job skill, plus an overall rating. An AI follow-up interview digs into the concrete incident behind that rating so reviews capture real behavior instead of vague impressions.

A manager-completed evaluation of a food service worker's performance over a review period — covering food safety habits, speed under pressure, customer service, teamwork, and attendance. An AI follow-up interview digs into the specific incident behind the lowest-rated area so feedback is concrete enough to coach on, not just a number.

A manager-completed evaluation of an individual restaurant employee covering attendance, guest service, teamwork, food safety compliance, and speed under pressure — with an AI follow-up interview that reconstructs a specific recent incident behind the employee's guest-recovery rating instead of relying on a vague number. Built for shift leads and GMs running quarterly or post-probation reviews.

Measures how well your employee orientation program builds role clarity, confidence, and connection to the organization in the first days on the job. An AI follow-up interview digs into the specific moment orientation clicked or fell flat, surfacing fixes a satisfaction score alone would miss. Built for HR and onboarding teams refining new-hire programs.

A parent- and guardian-facing evaluation of a child's preschool teacher and classroom staff, covering communication, safety, warmth, and learning quality. Built for center directors gathering input for staff performance reviews, with an AI follow-up interview that reconstructs one specific recent interaction instead of vague praise or complaints.

A pulse check on how happy employees genuinely feel at work, what's driving that feeling, and where it's at risk of slipping — built for HR and people teams running regular sentiment check-ins. An AI follow-up interview digs into the specific moment behind each person's rating so low scores come with a real story, not just a number.

Explores how employees actually use internet access during the workday — for work tasks, communication, and personal browsing — plus awareness of usage policy and perceived impact on productivity. An AI follow-up interview digs into the reasoning behind usage patterns and where policy or access gets in the way, for HR teams shaping acceptable-use guidance.