Digital Transformation Playbook - Innovate by Rapid Experimentation The need for innovation has sped up considerably. So it’s only predictable that speeding up the innovation process is the best path forward. If we want to innovate quickly, we need to apply the idea rapid innovation broadly, even beyond lean and design thinking. This is possible because digital technologies are having a real impact on innovation methods, and rates of output. Intuition and even traditional research methods are being challenged because they take months. Results are outdated before we can learn from them and sometimes even become dangerous to follow or believe in. We can’t rely on old data as a basis for justifying massive investments. Digital transforms innovation In the past, we took safer routes to market by sticking to well-known problems, developed along generic timelines. The result? We changed our products and services just incrementally. The enemy of digital transformation is incremental change. In a constantly-evolving digital world, innovation needs to be constant and rapid. Digital transformation requires innovation to be:
- Highly iterative
- Full of experimentation and testing
- Adjusting to a minimum viable product approach
- Testing assumptions constantly.
- “Testing to learn” is the new innovation mantra and the most effective innovation process: dynamic, fluid and rapid experimenting makes change a constant learning process
- We push constant evolution because of the increasing speed at which technology changes. Credit unions can constantly improve on their value proposition by living an agile culture.
- We need to seize emerging opportunities more quickly. At the same time, we tough choices when it comes to divesting resources so they’re free to fund emerging opportunities.
- We need to reduce innovation process cycle time for faster deployment.
- Finally, we need to invest more in data-driven front ends to build a more sophisticated process of discovery, a re-looping process of divergent experiments and convergent testing and validations.