Employee & HR

Evaluates how employees experience the internal purchase/order dialog used to request equipment, supplies, or redeem benefits — surfacing where the flow is clear versus confusing. An AI follow-up interview reconstructs the respondent's most recent request step by step to pinpoint exactly where hesitation or abandonment happened. Built for HR, IT, and procurement teams refining internal tools.

Captures how employees actually use the internet, the company intranet, and internal web tools during the workday — device mix, frequency, pain points, and satisfaction — alongside role and tenure demographics. An AI follow-up interview digs into the specific friction points behind low satisfaction scores so IT and HR can prioritize fixes to the digital workplace.

Measures how emotionally invested, obligated, or 'stuck' employees feel toward the organization, plus their real retention risk and the specific factors that would deepen commitment. The AI follow-up interview probes the story behind each person's score instead of settling for a number.

Evaluates how well your current IT team is staffed, skilled, and equipped to meet workload demands, then helps forecast where hiring and budget should go next. Built for IT leaders, People/HR partners, and workforce planners; the AI follow-up interview turns staffing-gap flags and confidence ratings into concrete examples of what broke, what it cost, and what's most fragile going forward.

Measures how valued employees feel, which recognition channels actually land, and how often meaningful appreciation happens day to day. Includes a best-worst trade-off on recognition types and an AI follow-up interview that digs into the specific moment recognition worked (or fell flat) instead of generic satisfaction scores. Built for HR and people teams auditing or redesigning a recognition program.

Measures how employees rate the organization overall and their direct supervisor specifically, across culture, fairness, feedback, and growth — with an AI follow-up that digs into the concrete moments behind a supervisor's rating instead of settling for a number.

Tracks how employees genuinely feel about their work, managers, and leadership — using a validated advocacy score, a multi-statement morale battery, and a best-worst trade-off on what would move the needle. An AI follow-up interview digs into the story behind each person's score instead of settling for the number alone. Built for HR and people teams running quarterly or annual pulse checks.

Gathers a new hire's hobbies, quirks, and communication preferences to power a warm team introduction post, buddy matching, and onboarding events. An AI follow-up interview turns one hobby or interest into a specific, shareable story instead of a generic bio line. Built for People teams, onboarding buddies, and managers welcoming a new employee.

Measures how attuned staff feel to patients' needs and how safe they feel speaking up about care or safety concerns, surfacing barriers to raising issues and signs of moral distress. Built for healthcare and care-setting HR and quality teams, with an AI follow-up that reconstructs what actually happened the last time an employee flagged a concern.

Captures how new hires actually experienced onboarding — from IT setup and mentorship to feeling ready on the job — for HR and People teams benchmarking or redesigning their onboarding program. The AI follow-up interview digs into the one moment that made or broke the experience, surfacing concrete fixes that generic satisfaction ratings miss.

Measures how well employees build and sustain real working relationships with managers and coworkers through online and hybrid communication channels. Built for People teams assessing remote/hybrid culture, with an AI follow-up interview that surfaces a specific moment where an online interaction built — or broke — a work relationship, beyond what a connection score alone shows.

A structured self-assessment covering goal achievement, manager support, and growth priorities for the current review period, for use in performance reviews or pulse check-ins. An AI follow-up interview reconstructs the specific achievement or obstacle behind the respondent's self-rating instead of leaving it as an abstract number.

Captures up-to-date employee profile details (team, tenure, work location) alongside how well-informed and equipped staff feel by company communications and HR resources. Includes an AI follow-up that digs into the specific moment information broke down, so HR can fix real gaps instead of guessing.

Explores how employees shop online for work needs — software, supplies, travel, equipment — and how smooth or frustrating the approval and procurement process feels. Includes an AI follow-up that reconstructs a recent purchase attempt step by step, surfacing friction points and workarounds that closed-ended questions miss. Built for HR and procurement teams evaluating purchasing tools and policy.

A pulse-style survey that measures trust, workload sustainability, manager support, and overall satisfaction across your workforce, then uses an AI follow-up interview to surface the specific story behind each person's lowest-rated area. Built for HR and people teams running quarterly or annual climate checks.

Measures how satisfied customers are with their internet provider's speed, reliability, support, and value — and uses an AI follow-up interview to uncover the specific incidents behind their satisfaction or recommendation score. Built for ISPs and telecom teams running quarterly or post-interaction service reviews.

A structured self-assessment for performance review cycles, covering goal progress, core competencies, manager support, and development priorities — paired with an AI follow-up interview that digs into the story behind the ratings, not just the numbers, for richer 1:1 prep and calibration.

Measures how employees actually experience shopping for their benefits on your online enrollment marketplace — ease of comparing plans, trust in the tools, and confidence in the final choice. Built for HR and benefits teams evaluating an enrollment platform, with an AI follow-up that digs into the specific moment a chooser got confused or nearly picked the wrong plan.

Measures how employees feel about their pay, benefits, and the process behind raises — covering satisfaction, market comparison, and priority trade-offs between compensation elements. An AI follow-up interview digs into the specific reasons behind fairness or satisfaction scores, especially where perceptions of pay and market value diverge.

Measures how employees actually experience the meetings on their calendar — frequency, agenda discipline, time well spent, and what they'd fix first — with an AI follow-up that reconstructs a specific meeting that felt like a waste of time and what would have made it worth attending.