DSS has over three decades of working knowledge in the area of
Many of our proprietary programs have been running for more than a decade and these clients keep coming back to us again and again.
Outline your needs in an RFP and we develop a plan to address the specific needs that you provided.
Evaluate our response and decide whether it meets your needs. Adjustments in the plan may be made based on feedback from you.
We execute the plan, process the information and provide the results back to you in an easy-to-digest form, which includes the results from our SatisAction™, POWeR Chart™ and trACTION™ tools.
Sit back and let us do the heavy lifting.
Three Decades of Success in Member & Patient Experience Research
With over 30 years of industry experience, DSS has worked and continues to work with some of the biggest names in the health care industry. Our work and proven results in communications testing has kept clients coming back year after year, making DSS the most trusted and reliable firm in this space.
At DSS, we do not depend on a single leader or a few leaders but on many leaders who head different teams and work groups within the company. Every leader has extensive experience, an in-depth understanding of the areas addressed by their team and a demonstrated leadership ability.
Last Friday, DSS Research participated in a Habitat for Humanity event located in Southwest Fort Worth. It was a great opportunity to share fellowship, meet other volunteers from our community, and lend a helping hand to an incredible family. Compared to our last...read more
Background DSS Research created a “home survey” to capture the level of satisfaction of consumers receiving dialysis treatments in a home setting. After several implementations of the home survey, comparisons were made between the home survey results and the more...read more
Background The basic fundamentals of survey research are well known. Draw a representative random sample. Make sure that the source file includes all eligible members, and does not systematically exclude some populations. With a large, representative, random...read more