Within the Composable Innovation Enterprise Framework lies the core, the different innovation stacks, and the learning components. Here, I want to briefly talk about the importance of the learning components that support the innovation design and especially the different innovation stacks.
The elements of the innovation stack are designed to support innovation’s core tasks, including learning, absorbing, assessing knowledge management, creativity, design, experimentation, and testing. By modularizing these tasks and their interfaces, organizations can assess their innovation progress by having a complete innovation system available to them, designed on specific stack elements to address knowledge operation requirements in the stage of development to commercialization.
The Innovation Stacks are ready to support different steps in the innovation engagement process
Additionally, with the upgrade in technology and platform approach, we can support the rapidly emerging human-AI collaboration needed for each building block and component and provide a step-by-step validation.
Yet it is the sequence of how we learn that becomes vital to “feed” and build the innovation stacks.
The vertical learning components enable us to progress or return back a step or two to revalidate our assumptions. Learning is a constant, ongoing process that moves us through the complete innovation discovery to commercialization stages.
The Importance of the Learning Components and their Sequence
Understanding the flow of innovation enables your resources to build solutions that support your brand, vision, and purpose; you provide the operating system for taking innovation to its rightful place, at the core of your organization’s thinking and mindset. We need to build our absorptive capacities into scalable learning.
The learning component process involves the following elements to follow in thinking through innovation and they have a logical sequence of how we take what we have as an idea and investigate and explore it as it evolves.:
- Future Foresight:
- Made up of finding opportunity spaces and potential scenarios.
- Learn:
- Gather & Probe handling unstructured content, classifying relevance, searching, and filtering.
- Synthesize:
- Looking for patterns and model dynamics from data, structuring, and inquiry (AI) to simulate.
- Create:
- Forming connections and maturing the association’s system dimension needs, network engagements, deepening understanding, architecture framing, impact, and implication.
- Decide:
- Evaluate and select options based on fitness, portfolio needs, velocity, and overcoming cognitive biases.
- Communal:
- Understanding and informing through social interactions, attributing, designing, adapting, projecting future value and impact, coherence with existing systems, identifying changes and their implications, and using metaphors for identification.
I plan to add another element of Sustainability, both social and corporate value, later as it should run through our innovation thinking throughout.
These learning components work through foresight, then how we learn, synthesize, create, decide, and then set about to convince others of the value and benefits of this innovative concept, the communal “buy-in”.
As we move from one part of the innovation process, from stack to stack we should take the learnings gained, so they can continue to be built upon as we progress so they become reinforcing loops. that eventually combine involvement, new practices, and results that bring investment in change initiatives as central to the innovation validation.
To achieve any validation we need to capture the learning process. By having this deliberately established throughout the innovation process we give that critically important “system of record” similar to the ERP approach of ensuring data and work consistency, building integrity across the integrated solution, in this case, the Composable Innovation Enterprise Framework offering predefined integration scenarios with this system of record paradigm, captured on the technology platform chosen.
We need systems and processes that are flexible, adaptable, and can enable continuous improvements but are fully connected, transparent, and integrated across the entire business. We need to approach innovation differently through connected agility, have speed and automation more central, and provide roles for a great diverse set of participants.
A system that encourages forming strategic alliances, partnerships, and knowledge sharing to drive innovation and create shared value in open, thoughtful, and collaborative ways. This is where technology enables these connections and triggers different thinking in the quest for moving toward more extraordinary valuable solutions—the “connected” value of behaviors thinking ecosystems and operating on collaborative platforms.
A learning environment that connects innovation “all up”.
