Frequently Asked Questions

Twiser Engage is built on seven validated academic frameworks from organizational behavior and industrial-organizational psychology; not on proprietary convention. Aligned with the Utrecht Work Engagement Scale (UWES) and grounded in seven core scientific pillars – including Kahn’s Personal Engagement Framework, the Job Demands-Resources Model, Psychological Safety theory, and Self-Determination Theory -Twiser Engage evaluates employee engagement from a multidimensional perspective rather than a single score. Segment-level analyses by department, role, seniority, and location are combined with performance correlations and the AI-powered Manager Action Layer; transforming employee engagement from a metric that is measured into a system that is actively managed.

Traditional annual engagement surveys measure how employees felt at a single point in time. typically producing organization-wide scores that are too aggregated and too delayed to drive meaningful manager action. By the time results are analyzed and shared, the conditions that shaped the data have often already changed.

Twiser provides Turkey-specific engagement benchmarks drawn from aggregated, anonymized data across its customer base. giving Turkish organizations a meaningful comparison point rather than relying on global averages that may not reflect local market context.

Twiser’s cross-lens analytics layer correlates engagement scores with performance review results, goal attainment rates, and competency assessment outcomes. giving managers a single view that explains performance trends rather than just measuring them.

Employee engagement is the degree to which employees feel emotionally committed to their work, their team, and their organization’s goals; and as a result invest discretionary effort beyond the minimum required.

Twiser Engage is the Employee Engagement lens of the Twiser Operating System. It measures engagement across nine scientific dimensions through continuous pulse surveys, delivers segment-level analysis by department, role, seniority, and location, and generates AI-powered manager action recommendations through a live dashboard.

Yes. By default, all pulse survey responses in Twiser are anonymous. Individual responses are never visible to managers or HR; only aggregated scores at the team or segment level are surfaced.

Twiser applies an Anonymity Threshold protocol: results for a reporting unit are only shown when a minimum of 5 valid responses have been collected (k = 5 rule). If a segment has fewer than 5 responses, no separate report is generated; data rolls up into the next level. This threshold is the widely adopted lower bound for minimizing re-identification risk in employee data (Sweeney, 2002). Thresholds can be configured upward by administrators. Twiser’s anonymity architecture is GDPR and KVKK compliant.