SatisAction® : Key Drivers of Satisfaction
Using powerful proprietary modeling system, SatisAction®, DSS tells you what’s important, what’s not so important and where to focus efforts to have the biggest impact on satisfaction, customer experience, loyalty or other key metrics.
The POWeR™ Chart
The POWeR™ chart provides an easy-to-digest graphic presentation of the results of SatisAction® Key Driver Modeling. Our POWeR™ Chart simultaneously displays the results from our SatisAction™ (horizontal) and CompScale™ (vertical) modeling systems. This approach is a very advanced form of Key Driver Analysis (KDA), wedding the most advanced statistical procedures and calibration based on over 30 years of experience with satisfaction data.
The DSS trACTION™ Tool gives our clients the ability to conduct “what if” analyses. For example, this web-based tool allows you to track specific metrics and answer questions such as, “If I improve my rating on this item, what impact will I have on overall satisfaction, loyalty or customer experience?”
Voice of the Member & Patient
This powerful tool complements our POWeR™ Chart and Impact Analysis trACTION™ tools, providing a “where to focus” element to the reporting. Voice of the Member is real advice on how to fix things from real members, which provides invaluable insight on how to improve the member experience.
Conjoint analysis offers the only viable vehicle for getting inside the decision-making processes of consumers by forcing them to make trade-offs as we all do every day when buying products and services. Consider your own decision-making process for a mobile phone or a big screen TV – what role does price play, brand, features, warranty, other factors? conjoint analysis enables us to address the importance of those features at the individual respondent level.
Market Simulation Tools
Being able to simulate market response to different offerings – whether yours or the competition’s – is an important aid to evaluating strategy and tactics. You can look into all the “what ifs” at the time you did the original study or for several years after. And, as long as there have been no fundamental changes in the marketplace then you can continue to use the results in the DSS Dominator™ Simulation Tool.
In order to optimize product design from a financial perspective, it is critical to understand the cost of offering a particular feature versus the perceived value that consumers associated with it. Armed with this information, the decision-maker is in a position to make the right decisions about which product features to offer and also which ones to focus on in advertising and other market communications.
Most modeling is done with relatively small samples of target individuals from surveys with very rich data. In order to be useful, we must find a way to bridge the gap between the small sample of rich data and large databases of customers, non-customers or other groups of interest. Third-party data appending enables us to bridge that gap.
Health Care Engagement Index (HCEITM)
The DSS Health Care Engagement Index (HCEITM) is a metric that tells you where your members, patients or employees are in the health care engagement continuum and provides insight on how to move them toward higher levels of engagement in their health care.
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