Culture Amp combines employee surveys, performance reviews, and engagement tools with machine learning to uncover patterns in company culture. The platform helps organisations understand what drives engagement and retention at scale, then acts on insights through targeted interventions.
Peakon uses continuous pulse surveys and machine learning to gather real-time employee sentiment and identify engagement drivers. The platform surfaces actionable insights through AI analysis, helping leaders respond quickly to team concerns before they become attrition risks.
Officevibe streamlines employee pulse surveys, anonymous feedback collection, and eNPS tracking through an intuitive interface. Its AI engine analyses responses to highlight engagement trends, team sentiment shifts, and actionable recommendations for managers.
Qualtrics EmployeeXM captures employee feedback across the entire employment lifecycle, from recruitment through exit. Advanced AI capabilities identify sentiment patterns, predict churn, and recommend targeted interventions to improve engagement and retention.
15Five combines one-on-one feedback, goal tracking, and continuous performance conversations with AI-driven sentiment analysis. The platform helps managers spot disengagement early through analysing feedback language patterns and recommending proactive conversation starters.
Lattice unifies performance management, goal setting, learning, and engagement features into one platform. AI capabilities include sentiment analysis of feedback, early churn prediction, and insights into engagement drivers tied to performance outcomes.
Glint (now part of SAP SuccessFactors) provides real-time employee listening at enterprise scale. Its AI engine surfaces hidden trends in engagement data, predicts retention risks, and recommends targeted engagement actions aligned to business outcomes.
Workday Listening captures employee voice across the organisation through pulse surveys, open feedback, and engagement analysis. Built-in AI identifies sentiment trends, predicts flight risk, and surfaces what matters most to employees for targeted engagement initiatives.
Humu combines employee data analysis with behavioural science to recommend small, specific engagement actions that drive measurable culture change. Its AI learns from patterns in your organisation to personalise engagement nudges for teams and individuals.
Visier analyses workforce data to uncover engagement drivers, predict retention risk, and identify skills gaps. Advanced analytics and AI models surface hidden patterns in people data, enabling data-driven decisions on engagement, compensation, and talent allocation.
Positions 1, 2 and 3 are available to buy for twelve months. Everyone below moves down a place, and the bottom entry comes off.
Implementation typically ranges from 2-4 months for mid-market organisations using established platforms like Officevibe or 15Five, to 6-12 months for enterprise platforms like Culture Amp or Qualtrics. Timelines depend on integration complexity, data migration requirements, and internal change management. Most vendors provide implementation support and can accelerate deployment with dedicated resources.
AI engagement platforms analyse multiple signals including survey sentiment scores, engagement trends, feedback language patterns, absenteeism data, and role changes to build predictive churn models. Machine learning identifies which factors correlate strongest with departure in your specific organisation, then flags high-risk employees for proactive manager intervention. Accuracy improves as platforms accumulate more historical data and outcomes.
Most platforms offer API integrations with major HCM systems. Glint and Workday Listening provide native integration with their respective ecosystems. Culture Amp, Peakon, and Lattice support two-way integrations with popular HRIS platforms. Confirm specific integration availability and data synchronisation capabilities with your vendor before purchasing to ensure compatibility with your existing tech stack.