Engage
Last Updated
Overview
Engage is an employee engagement platform that automates surveys and delivers AI-driven insights to strengthen workforce strategy. It offers lifecycle feedback, benchmarking, and GDPR compliance. While lifecycle scheduling may require occasional manual adjustments, features like real-time dashboards and personalized reporting make it a high-impact HR solution.
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Starting Price
Custom
Engage Specifications
- Employee Engagement
- Workforce Analytics
- Employee Information Management
- Recruitment and Applicant Tracking
Engage Features
Flow Work Engagement Model
This validated survey framework helps organizations identify key drivers of employee engagement. It enables benchmarking across industries and teams, allowing HR to understand what motivates employees and identify areas where intervention is needed to improve satisfaction, retention, and team alignment.
Engage Lifecycle
Engage Lifecycle enables automated surveys throughout the employee journey, from onboarding to exit. It captures critical feedback at each touchpoint, enabling HR leaders to monitor sentiment over time and respond to changes in employee engagement as they transition through different roles or stages.
Virtual Structures
Engage features virtual structures that allow companies to group employees beyond org charts by project teams, locations, or demographics. This flexibility enables meaningful comparisons and custom reporting, supporting more inclusive and cross-functional analysis across a diverse workforce.
Advanced Real-Time Analytics
This feature enables HR teams to access live survey data with interactive dashboards and filters. Its AI-driven text analytics interprets open-ended responses, extracting sentiment and themes to uncover issues that may be missed by quantitative scores alone.
Pros And Cons of Engage
Pros
AI-driven text analytics extracts sentiment and themes
Lifecycle automation dispatches pulse surveys automatically
Rule-based report editor delivers customized feedback reports
Cons
Lifecycle scheduling sometimes needs manual timing adjustments
Virtual structures require accurate data for optimal grouping
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