Successfully navigating the volatility, uncertainty, complexity, and ambiguity (VUCA) of AI and IoT fields, and digital transformation (DX) initiatives, requires clarity and pragmatic tools. Traditional strategic approaches perform poorly in VUCA environments.
The Vision Stack aligns organisational knowledge-creation with value-creation via a familiar “stack” metaphor, a simple mental model, and, when required, a robust process. Based on a Design Thinking approach, the Vision Stack quickly creates clarity in VUCA environments, and uncovers hidden strategic insights for complex technology initiatives like IoT, AI, and DX.
Technology vendors and adopters can use the Vision Stack to ensure that they are harnessing the knowledge and expertise within their organisation to accelerate innovation, deliver compelling products, effect a process transformation, or to maximise sales.
This report starts with an explanation of the Vision Stack and why it is needed by organisations involved in rapidly evolving technology fields, either as adopters or as suppliers. It continues by exploring the concept of ‘sensemaking’ whereby organisations make sense of the huge amounts of data, both explicit (e.g. databases, metrics, or code) and tacit (e.g. experience, problem-solving, or judgement) and turn it into informed decision-making. Finally, the report expands on the concept of sensemaking into the Vision Stack and describes five layers of knowledge. These layers of expertise enable an organisation to optimise performance, and include, craft knowledge (Techne), scientific knowledge (Episteme), conjectural or cunning knowledge (Metis), practical wisdom (Phronesis), and excellence (Arete), which collectively sit under the acronym TEMPA.
In short, the Vision Stack includes TEMPA and provides guidance and a means to navigate complexity. It empowers proactive decision-making, fuelling success.
Throughout the report we include examples of how the various types of knowledge in TEMPA are applied in the IoT, AI, and DX scenarios to accelerate innovation, improve the quality of outcomes, and optimize organizational expertise.
