Big Sky Thinking

Better Decisions Faster


Why Optimizing Decisions is the Most Important Thing You Can Do, Part III

In our last post in this series, we introduced a simple, four-step approach to optimize decisions that we call Decision-Centric Business Improvement. The critical decisions identified through that four-step process represent the resource-intensive turning points of every organization’s growth. These decisions are diverse; some are large: corporate acquisitions, multi-billion dollar procurements, and 5-year strategic goals. Some are smaller: choosing a commodity supplier, making a hiring decision, or choosing the functionality of a software solution. Some decisions are manual, while some are automated. Some require one person; some require groups or even multiple organizations.

The last step in Decision-Centric Business Improvement is optimizing decisions along three angles: strategic relevance, technique, and technology. When optimizing decisions, it is critical that an organization work through each of these angles to build a coherent, balanced approach to the decision in question. The figure below illustrates these three “angles” of decision making.


The Decision Strategy Angle
The first angle of effective decision making is how the decision influences advancement of the organizational strategy. To clearly understand this angle, an organization should isolate the most important strategic metrics of the organization and describe the decision in terms of those metrics. If a decision cannot be shown to have a measurable impact on strategic goals, there is little chance that the decision can be successful.

The right approach in this angle is not to develop a new strategy, but rather to understand the strategy (whether implicit or explicit) and to define a particular decision in the context of the strategy. Traditional strategic planning tools—such as SWOT analysis, multiple forces analysis, or Value Chain Analysis—may be useful in this angle but should be focused on the decision.

The Decision Technique Angle
The second angle of effective decision making is the selection and application of the right tool for the job. A carpenter wouldn’t use a sledgehammer to drive carpet tack; similarly, a good decision maker chooses the tool that is just complex enough—but no more complex—to do the job. In this angle, an organization must understand both the soft and hard aspects of the decision. Hard aspects include the required speed and frequency of a decision, as well as the number of variables involved and whether the decision requires descriptive (backward-looking) or predictive (forward-looking) results. Soft aspects invlude the level of organizational buy-in required, political consequences, human factors, and transparency requirements.

For an automated supply chain decision, an organization might choose to develop a sophisticated algorithm that completes on the fly multivariate analysis. For a one-time strategic decision at a board meeting, it might use a decision tree or a consensus building method. Hypothesis testing, analytic network process, analytic hierarchy process, real options are other approaches that might be used to aid decision making.

The Decision Technology Angle
The third angle of effective decision making is the application of appropriate technology to enable the decision. Most organizational decisions will benefit from better management and distribution of information aided by technology, but not all. Knowing if, when, and how to apply technology is the component of decision optimization least understood and most prone to error.
Good decisions result from a qualified decision maker armed with the right information, delivered at the right time in the right context.

Rather than selecting one-off technology solutions, an organization should understand their “Decision Architecture” – an architecture optimized for effective decision-making. In many cases, this architecture may be comprised of existing systems rather than expensive new ones. Effective organization and adaptation of organizational IT can transform decision-making capabilities in many organizations.

While “hard” decisions—those with many variables or high speed requirements—are the most obvious candidates for the application of technology, technology can be a critical enabler of softer decisions too. Collaboration tools, role-based access control, and innovative application of existing technology (like wikis) can be critical enablers of infrequent, collaborative decision-making. In every analysis of a critical decision, whether “hard” or “soft,” technology should be considered as a important enabler of long-term success.

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Why Optimizing Decisions is the Most Important Thing You Can Do, Part II

In our previous post in this series, "Why optimizing decisions is the most important thing you can do," we discussed the reasons why organizations should think hard about focusing on the critical decisions in their organizations, and why the speed and quality of those decisions will determine which organizations remain competitive. Today's discussion outlines our approach to optimizing decision-making in your organization.

Organizations that want to make better decisions, faster should adopt a decision-centric approach to improving business processes and their core capabilities. This approach, which we call Decision-Centric Business Improvement, is a four-step technique that requires the identification of critical capabilities, the description of those capabilities in terms of a process, the isolation of the critical decisions in that process, and the optimization of those decisions. At a high level it looks like this:


  1. Identify core capabilities. First and foremost, every organization must understand those very few things at which it must be great. Not just good or very good, but great. Many organizations know what those things are; it might be research and development, it might be sourcing, it might be hiring, or it might be project management. In the diagram above, the circle represents just such a capability.

  2. Describe it as a process. Second, every capability should be expressed in terms of a process. Whether your process is simple or complex, all have key elements in common, including: tasks, inputs, outputs, and decisions. After you know which capabilities are most important, they should be detailed in a business process that can be decomposed and analyzed.

  3. Identify the important decisions. Third, the organization should highlight and understand the decisions in the processes. Most processes--and all important processes--contain decisions. Those decisions vary in complexity, importance, and frequency, but they are the turning points of every process. In the diagram above, the decisions are indicated as diamonds.

  4. Optimize the critical decisions. Once it's clear where the decisions are in your most important processes, proceed with optimizing the most important decisions (the ones with the biggest impact on the process outcomes). Big Sky advocates evaluating each of these decisions from three angles: strategic relevance, technique, and technology. In other words, "why make the decision," "how to make the decision," and "what do we need to do to enable the decision."
Although the scope and duration of these engagements will vary with the size and complexity of the organization, we suggest starting small with a rapid diagnostic using this approach, and then layering on more challenging improvements over multiple project generations.

In our next post in this series, we will outline each of the three "decision angles" mentioned in #4 above.

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