Frequently Asked Questions
Why do we do this?
We have over thirty years of working with organizations of all types, and we have observed the absolutely incredible energy that is created when teams truly come together, celebrate their differences and achieve outstanding results.
Is this data applicable in the real world?
Yes. The metrics have been used in commercial, community and government environments over the past thirty years and have a long history of success.
How is this different from a regular survey?
Traditional employee surveys capture a point in time and provide insights on how people are feeling at that particular moment on that particular subject. We have learned that we get different answers at different times of the day and different days of the week and different months of the year.
Consider this; if we suggested that a company measure its operating or financial results only once a year they would think we are crazy. The truly crazy thing is that most organizations agree that their human capital is their most important asset yet they think they have accurate data by measuring this asset only once a year.
In a virtual membership environment like ours - where there is a value exchange - then we are able to measure the human element over time just like the other key measurements.
Will I need to load any software or download the service?
The entire service is based on an ASP model (Application Service Provider), this means that no software or IT support is required.
I am currently drowning in data.. why is this different?
Big data is a misunderstood term. Having a lot of data means very little while understanding it means a lot.
Is this applicable to any size company?
All companies need to deliver a quality product and/or service. All companies need to manage their human resources effectively. All companies need to be able to attract the best talent.
How long is the process?
Our tool is best used as an ongoing and continuous measurement. It is our recommendation that the initiative be at minumum 18 months (large enough for the samples to be statistically reliable). However, the length of the process is completely at your discretion.