First, the use of dichotomous variables (predictability, malleability, and harshness) has resulted in the creation of a limited, coarse-grained strategy space. This is problematic because it means that fewer strategy approaches are identified to cover the strategy possibilities space, and these approaches are broad (i.e., umbrella approaches). This has resulted in a loss of precision in guiding the selection of the appropriate strategy. Take for example the umbrella strategy approach of adaptation, which has been operationalized primarily through continuous experimentation. Within this umbrella approach, there are several approaches such as static and dynamic robust strategy approaches [], which would only be revealed if the predictability dimension incorporated a greater number of states. This would help create a richer, more textured, and nuanced strategy space which differentiates between the varying levels of uncertainty [].

The strategy palette has three dichotomous variables – predictability, malleability, and harshness. Predictability is defined as the extent to which the organization can predict the key strategy variables in its environment which impact the focal strategic issues for the organization. It also relates to how far into the future the organization can make such predictions. Malleability is defined as the extent to which the organization and its competitors could influence these key strategy variables. Harshness refers to the ability to survive a harsh environment.

The Strategy Palette is one of the more recent and probably the most recognized framework for selecting the appropriate strategy approach. The framework’s use of dichotomous variables with low and high values makes it simple and easy to understand. It does not stop at identifying the strategy approaches, instead further linking them with the relevant strategy tools. BCG also has an interactive website for the strategy tools providing a short description of the tool, its author(s), and the original reference. The linking of the various strategy tools to strategy approaches allows for the creation of a strategy toolbox for each approach that can be used by strategists []. Moreover, the book provides several case studies and vignettes to explicate the strategy approaches.

The adaptive strategy approach is evolutionary, necessitating the creation of solution hypotheses and testing them through experiments, then selecting promising options and scaling them up. The emphasis here lies in creating strategic flexibility. BCG research has identified strategy tools that can be used with the adaptive approach. These strategy tools include time-based competition, first mover advantage, dynamic capabilities, strategy as simple rules, adaptive advantage, and transient competitive advantage.

The shaping strategy approach emphasizes collaboration through the orchestration of activities with other players in the ecosystem. Shapers engage, orchestrate, and evolve. Shapers first engage other players in the ecosystem in the creation of a shared vision for the industry. Subsequently, they orchestrate the collaborative activities through a platform. Lastly, they evolve the platform by scaling it up. BCG research has identified five strategy tools which can be used with the shaping approach. These strategy tools include S-curve, ecosystem strategy, co-opetition, open innovation, and shared value framework.