"Key Driver" Analysis helps market research companies and other organisations derive more relevant insights from customer survey data, when compared to classical linear regression techniques. This creates value for the client and promotes data-driven decision-making.
The terms Relative Importance and "Key Driver" Analysis refer to any one of many statistical techniques that are used to discover which of a set of independent variables (e.g. customer satisfaction metrics) cause the greatest fluctuations in a given dependent variable (e.g. overall customer satisfaction).
Shapley Value Coefficients and Kruskal’s Relative Importance Weights are two of the most advanced techniques used to accomplish Key Driver Analysis. However, their use is often limited by the expertise and software required, and the time taken to run both analyses when many variables are considered.
We have created an extremely fast, online tool that performs both Shapley and Kruskal analysis, in addition to Ridge Regression on a .csv format data set. The results are typically produced in seconds, as a bar-graph and .csv file. Even at up to 20 independent variables, the tool returns results in only a few minutes.
If you are new to Key Driver Analysis and want to get started quickly, or just want to have the edge over the competition, our tool is a cost-effective way of achieving your objectives.
Requiring no additional stats software, coupled with the fast, simultaneous run-time of all three methods, we believe, makes our Key Driver Tool unique in this field.
The tool is available to use FREE for a two-week trial period. Using the tool after the trial period ends costs only £35/month per-user and you can cancel at any time.
For a deeper dive in to how our Key Driver Analysis tool works, download our "Key Driver Techniques" document.
For a two-week FREE TRIAL click the button below.