Change Readiness & Adoption Pulse

A voice AI exit interview departing employees can take privately, on their own time. The interviewer covers reasons for leaving, manager and culture experience, and what would have changed their mind — probing gently where a form gets one-word answers. Structured questions capture the benchmarkable basics.

Gauges how a specific proposed change request lands with the people it affects — awareness, perceived risk, resource readiness, and willingness to support it — built for change managers, PMOs, and transformation leads preparing a rollout or approval decision. The AI follow-up interview digs into each respondent's single biggest concern and what would turn hesitation into active support.

Tracks how employees understand, feel about, and are coping with an active organizational change — reorg, merger, system rollout, or leadership shift. Built for HR and transformation leads, with an AI follow-up that surfaces the concrete 'why' behind sentiment scores instead of generic complaints.

Diagnoses whether a specific team or process is actually ready to redesign work around AI agents — covering current usage, data and skills readiness, redesign priorities, and change barriers. Built for operations, transformation, and IT leaders scoping where to pilot next; the AI follow-up interview digs into the single biggest blocker instead of accepting a generic 'change management' answer.

Assesses organizational and technical readiness for infrastructure, application, or data migrations by flagging dependency risks, evaluating rollback preparedness, and measuring stakeholder confidence before go/no-go decisions.

Assesses how ready employees are for digital transformation across tool adoption willingness, skill confidence, process pain points, and change fatigue. Built for operations, IT, and transformation leaders sequencing a rollout. An AI follow-up digs into the specific reason behind hesitation or exhaustion that scale scores alone can't explain.