Engage

Engage

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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
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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.

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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.

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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.

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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.

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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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