Standpoint's Work Process

Standpoint Decision Support Inc. has been addressing emerging regulatory issues for more than 7 years. Our work has focused on improving organizational decision-making by using leading data analysis techniques and professional interpretation to support continuous improvement.

During this time we have developed a proven methodology for ensuring consistency across projects and the ability to track iterative and incremental improvements against organizational key performance metrics (KPMs / KPIs).

Solving Problems Scientifically

Standpoint takes an evidence-based approach to addressing issues for a regulator. We start with a central question or hypothesis that articulates a problem prioritized by the organization. Often these problems are creating a risk or a cost to the public or to the regulator, and may already have a task force or committee assigned to them. More often than not, the available information and data involves complex interactions and uncertainties, which can make objective analysis by a task force or team challenging.

Model Where You Are, and Where You Want to Be

We begin by formalizing the goals and objectives of the task force and then develop a conceptual model of the system that is influencing the likelihood of the desired outcomes.

Standpoint guides this model development, but the approach is consensus-driven. This gets everyone on the same page, and improves support when it comes time for implementation.

The modeling process probes the following questions:

  • Define success – How can we measure our desired outcomes so that we know when they have been achieved?
  • Available alternatives – What proposed decisions, actions or policies are within-scope to address the problem?
  • Data and expertise – What data and/or expert opinion can we use to forecast the implications of different decisions or policies?
  • The unknown – What is driving uncertainty and how can it be addressed or accommodated?

Analyze the Data and Predict the Future

Next, we use a scientific approach to formalize the causal model to analyze and measure the benefits of past management actions and/or to forecast the probable outcomes of future actions.

This approach then generates recommendations to the task force that are focused on important things such as:

  • optimizing the resources of the organization and membership,
  • reducing risk to the public, and,
  • fostering continuous improvement through adaptive management


Curious how this approach could help your project?