For many decision makers faced with making important strategic decisions on alternatives, reliance on traditional metrics such as net present value (NPV), internal rate of return, discounted payback and, in some cases, sensitivity analysis, often is supplemented with an ad hoc consideration of difficult-to-quantify elements fundamental to the decision at hand. Qualitative information for a number of reasons, often is difficult to “draw in” to the strategic decision-making framework, so it’s often glossed over, relegated to an appendix or, worse, ignored. However, most business decisions, especially in the electric utility sector, often have significant, non-quantifiable benefits that in many cases are fundamentally linked with the entity’s strategy and shouldn’t be ignored. One way to combine quantitative and qualitative dimensions into a structured framework is what I call the “Decision Dimensions” approach to strategic decision making. It’s a fundamental departure from the normal focus on NPV and other financial metrics, and one that can be directly mapped to key elements of a firm’s strategy to help facilitate the alignment of business decisions and strategy.
Who’s keeping score?
The Decision Dimensions approach is centered around the notion of the scorecard, which can be color-coded to show how each alternative fares in terms of the metrics deemed to be important. For illustration, consider a scorecard that could be used for assessing the strategy around a hypothetical coal-fired power plant called the Marcus Evans Fossil Plant. The plant has no pollution controls, burns Illinois Basin coal and is located in a position of strategic importance to the stability of the transmission grid. Regulatory uncertainty with respect to the regulation of hazardous air pollutants, the Clean Air Transport Rule and potential carbon regulation have forced decision makers to reevaluate the importance of the Evans plant.
As the scorecard illustrates, decision makers have deemed the decision to have six fundamental dimensions, and each is made up of its own constituent dimensions that are weighted and summed to produce the final score. For example, the Economics dimension score is a function of the effect of each alternative on the present value of revenue requirements, the near-term rate effect, the effect on fuel rates and the effect on the company’s free cash flow. In this example, the best alternative is deemed to be the plant’s retirement and replacement with natural-gas-fired capacity at another site.
What’s a decision weigh?
The Decision Dimensions approach works primarily through the concept of the facilitated workshop. From the identification of key fundamental strategic principles to the assignment of their weights to capture their relative importance, facilitated workshops bring key decision makers and strategic thinkers together to discuss what’s important and whether any particular strategic goal is more important than another in the near term and worthy of greater weighting in the analysis.
For example, a firm might have a dual strategic direction of reducing its carbon footprint while at the same time, expanding into other areas of the value chain such as data networks or retail natural gas service, all while keeping rates to its existing customers steady in real terms. However, it might choose to focus on achieving one of these goals more rapidly than the other, so Decision Dimensions that supported the emphasized goal would be weighted more heavily than others until the strategic focus shifts and weights would be reassigned.
One of the key benefits of the workshops is that the they can help align members of the leadership team, because there often can be differing opinions on what aspects of a firm’s strategy are more deserving of emphasis at a given time than others. The workshop also helps decision makers understand exactly how tactical or logistical actions are directly linked or can be directly linked to achieving the strategy, which has important benefits in developing well-rounded enterprise leaders. The weights assigned to each dimension would by dynamic so that changes in strategy or focus would be captured by changes in weights assigned to dimensions.
Quantified by experts
Some of the dimensions in the scorecard example seem amenable to quantitative assessment using traditional techniques, whereas others don’t. For example, while reliability often can be summarized in operational metrics such as the equivalent forced outage rates, there might be other elements, such as the ability to load follow or fast start, that might not be as easy to quantify, especially when each alternative has capabilities in these areas, only to different degrees. This is where the facilitated workshop again is used — only this time, instead of seeking executive agreement on the proper alignment of decisions with strategy, the workshop is focused on using subject matter experts to assign scores to elements of the dimensions that aren’t easily quantified. The technique is sometimes referred to as expert elicitation and has a long history in the decision-making sciences. Expert elicitation can be defined as a systematic approach that seeks to synthesize the subjective judgments of experts on a subject in which significant uncertainty exists, either from insufficient data or when data might not be physically possible or cost-effective to gather.