Dynamic KPI Coefficients for Innovation Velocity Measurement
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Solution Overview
Problem
Organizations face challenges in measuring innovation velocity due to the lack of a standardized measurement system, leading to siloed teams, redundant efforts, and superficial innovation, with conventional methods failing to provide dynamic recommendations.
Innovation Solution
A method and system for innovation velocity measurement that involves receiving multidimensional data, identifying relevant KPIs with dynamic coefficients, computing raw and scaled innovation scores, and generating recommendations using a self-learning feedback loop to adjust coefficients based on context and similarity with other enterprises.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional statistical methods are used for estimating enterprise innovation, then the measurement process is simple, but the accuracy and reliability of innovation measurement is insufficient
Solution Approach 1:
The patent segments the innovation measurement process into multiple dimensions including idea generation, development, implementation, and impact. Each dimension is measured using specific KPIs, allowing for comprehensive and accurate measurement while maintaining systematic organization of the complex measurement framework
Solution Approach 2:
The patent introduces dynamic coefficients that adjust the weight of different KPIs based on organizational context, industry sector, and innovation stage. This parameter adjustment mechanism enables accurate measurement across diverse scenarios without requiring a completely different measurement system for each case
2Stability of the object's composition
If standardized measurement system is implemented across all enterprise accounts, then measurement consistency is improved, but the ability to adapt to varying business contexts and sizes is reduced
Solution Approach 1:
The patent implements dynamic coefficients that automatically adjust based on organizational characteristics such as size, industry, and innovation maturity. The system transitions from static standardized metrics to dynamic adaptive metrics that maintain measurement consistency while accommodating contextual variations across different enterprise accounts
Solution Approach 2:
The patent applies different weighting schemes and coefficient values to different organizational segments based on their specific characteristics. Each enterprise account receives a customized measurement configuration tailored to its local context while maintaining alignment with the overall standardized framework
3Reliability
If siloed teams focus on narrow innovation goals, then team specialization is improved, but enterprise-wide innovation coordination and alignment deteriorates
Solution Approach 1:
The patent creates a universal measurement framework that serves multiple functions: it measures individual team performance on narrow innovation goals while simultaneously aggregating data to assess enterprise-wide innovation alignment. The standardized KPIs and dynamic coefficients enable both specialized team measurement and holistic organizational assessment within a single system
Data Source
AI summary
Due to lack of a standardized measurement system, it has become hard for organizations to identify the true reflection of the impact of the innovation. In conventional methods mainly utilize statistical methods for estimating enterprise innovation based on likelihood and are not effective. The present disclosure initially identifies a plurality of potential Key Performance Indicators (KPIs) from multidimensional data. Further, a plurality of relevant KPIs is selected for computing a raw innovation factor and a scaled innovation score is computed for each of the plurality of enterprise accounts by applying a set of pre-defined normalization rules. Further, a plurality of similar enterprise accounts is identified, and a plurality of recommendations are generated. Furthermore, a dynamic coefficient associated with each of the plurality of relevant KPIs are updated. Finally, an innovation score percentile is computed for each of the plurality of enterprise accounts based on an updated dynamic coefficient.