Driver Modeling

Stratalys' driver modeling is grounded in an advanced structural equations modeling approach. This approach...
  • Represents a comprehensive understanding of the public opinion environment surrounding your key objective. Each aspect can be identified, quantified and modeled, thus providing an invaluable "big picture" perspective on any complex phenomenon.

  • Simultaneously investigates multiple factors impacting outcomes, thereby determining action priorities. This is superior to common univariate or bivariate techniques (e.g., crosstabulation).

  • Provides greater accuracy and precision through multiple measures of key concepts. This is superior to common multivariate techniques such as linear regression.

  • Leverages quantitative data by examining underlying relationships between attitudes and behaviors. Findings are less biased than self-reported "explanation" measures.

  • Avoids common multicollinearity problems inherent in attitudinal data that make simple regression infeasible. The result is clear, actionable recommendations.

  • Generates stable, consistent, and predictive results.

  • Drives resource allocation decisions. You work on what's most important regardless of whether it seems to be the most broken.
Consider a scenario... A non-profit organization conducts a survey of members and non-members in order to understand the best way to increase retention and membership. Respondents evaluate the organization on five different performance criteria. Organization officers receive the survey results and see that members perceive the organization to be underperforming on two of the criteria. Believing that this simple analysis points to the proper course of action, they shift significant resources toward improving in those areas. Unfortunately, even if these improvements are realized, the strategy may do nothing to impact retention or membership. The key is not to find what is most broke and fix it, but rather to determine where improvement will directly contribute to bottom-line objectives. Driver modeling is designed to make this determination. Whether the objective is membership retention, a shift in public opinion on an issue, or virtually any other performance outcome - you need precise and accurate tools to make the most efficient use of limited resources.