The Strategy Palette framework was first published in Harvard Business Review (HBR) in by the lead author, Martin Reeves, and two colleagues, Claire Love and Philipp Tillmanns []. It had two dimensions: predictability and malleability; as well as four strategy approaches. Subsequently in , the framework was updated, and a third dimension was added called harshness, resulting in five strategy approaches. This updated version was published in the book “Your Strategy Needs a Strategy: How to Choose and Execute the Right Approach”, which was written by the lead author, Martin Reeves, and two new co-authors, Knut Haanaes and Janmejaya Sinha [].

The classical strategy approach is most suitable for stable environments which are predictable, where the rules of competition or conduct are well-established, making them non-malleable. These predictable and non-malleable environments are continuations of the past. Hence, the bases for achieving sustainable competitive advantage are known and can be achieved through competitive positioning using differentiation or cost leadership through scale.

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 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.

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.