According to MIRO Study 2023 Study, 98% of companies say innovation is urgently needed, yet a Mc Kinsey Global Study reveals that only 6% are satisfied with their innovation performance.
Let’s face reality: Corporate innovation can be cumbersome. The problems are threefold: high costs, high risk, and low output.
Corporate Innovation Teams vs. HYPER-CHANGING CONDITIONS
The battle between corporate innovation teams and the rapidly changing environment has become increasingly lopsided. Innovation teams find themselves ill-equipped, facing a multi-crisis landscape with outdated tools and slow processes. While they grapple with a shortage of skilled labor and rely on decades-old methodologies like Design Thinking and Lean Startup, the world around them moves at breakneck speed. The hyper-changing conditions, marked by economic instability, energy crises, and global conflicts, have rendered traditional approaches obsolete. Corporate innovators are left struggling to keep pace, as the luxury of spending years on strategy development is no longer viable in this fast-paced, unpredictable environment.
Increase Innovation Performance with Derisking Intelligence
Derisky.ai offers a unique value proposition by leveraging derisking intelligence to enhance innovation performance. The platform’s key features include:
- Comprehensive risk assessment: Users can upload product documentation and business cases to identify and analyze all underlying hypotheses of an innovation project.
- Implementation of smart experiments: Data is collected from various sources such as Unbounce, Google Analytics, Optimizely, Mixpanel, Segment, and Mailchimp. These experiments are then used to quantify and assess risks associated with innovation projects.
- Performance tracking: The platform enables tracking and visualization of risks and innovation performance over time using innovation metrics.
- Portfolio management: These metrics can be utilized to build and manage an innovation portfolio view of all innovation projects.
- Predictive analytics: Using initial data and machine learning models, Derisky can predict future metrics of the innovation portfolio.
Additionally, Derisky.ai focuses on early projects in the discovery phase, connect to financial metrics, utilize generative AI, and prioritize partnerships. This comprehensive approach aims to address the challenges faced by corporate innovation teams in today’s rapidly changing environment.
Start to derisk now.
Companyquote: Increase Innovation Performance with Derisking Intelligence.
Keywords: Hypotheses-driven innovation Innovation Performance Innovation Management Corporate Innovation Generative AI Integration Innovation Metrics Derisking Intelligence Risk Management in Innovation Innovation Portfolio Management Innovation Analytics