In the current landscape of employee surveys, organizations can choose from a variety of survey platforms, ranging from expensive and overly complicated survey systems, to simplistic one-dimensional products with limited analytics capabilities. The more popular survey platforms generally lack the advanced analytics necessary to track and analyze survey data in real-time at organizational and at team level, or the flexibility to accommodate different types of surveys, such as engagement surveys, automated lifecycle pulses or 360-degree leadership reviews.

Sustainable engagement isn’t just a program, it’s a way of operating. Mindset’s Holistic Engagement Approach offers a framework to transition from the outdated, top-down annual survey method to a dynamic and individualized process. 

In today’s competitive business landscape, an optimized Employee Experience (EX) is the linchpin for driving employee engagement and sustained organizational growth. The traditional approach of annual engagement surveys coupled with sporadic engagement initiatives is not sufficient. A more holistic, lifecycle-oriented approach is required to build a positive EX, from the pre-hire to offboarding. 

Conducting employee surveys, such as engagement or employee wellbeing, can often be a source of frustration when it comes to analyzing and presenting the survey results. 

We have conducted a comprehensive analysis of the scales used in our organization-wide engagement surveys at Mindset and wish to present the findings confirming the high level of reliability of these scales. The report also suggests areas for continuous improvement to maintain and enhance the quality of our survey tools.

Engagement surveys and leadership assessments are essential components of any sizable organization's efforts to enhance productivity and performance. However, to ensure sustainable engagement over time, it is crucial engagement survey results are mapped down to team level so managers can be held accountable for the engagement levels of their team members.