
C&T has conducted over 1000 searches for next generation CXOs and interviewed the technology industry's top Board members and CEO during this process. We have designed Predictive Leadership Model provides the building blocks for companies to assess, select and recruit the highest performing executives.
The highest performing leaders demonstrate a unique combination of:
- Career track (such as education, reputation of companies worked for, mentors)
- Domain expertise (such as cross discipline capabilities, powerful networks, industry reputation)
- Operating methods (such as growth mindset, operational excellence, talent engineering)
- Personal attributes (such as learning agility, gravitas, intrinsic motivation)
Based on our research and experiences we have defined:
- 40+ attributes
- 300+ indicators
- Custom vocabulary
Additionally, we have designed Scientific Methods:
- Inter-relationships between attributes
- Algorithms to evaluate each attribute
- Benchmarks of top performers
- Text/audio/video intelligence
- Scoring techniques
- Expert validation
- Custom Configuration to each enterprise
Data Sources:
- External data platforms
- Proprietary data and analytics
- Web research
- Candidate self-reported
- Interviews
- Referencing
USE CASES FOR ENTERPRISES
- Understand the talent market, benchmark the top performers in the industry
- Architect a customized leadership model tied to business strategy and culture
- Identify and target the largest talent pool
- Analyze resumes, assess potential, simulate interview scenarios
- Assist in conducting interviews through voice/video/sentiment analysis and interpretation
- Generate comprehensive assessment reports, scorecards, compare capabilities
- Gain diversity and inclusivity insights
- Build personalized leadership development plans
- Others TBD
Building the Custom Leadership Large Language Model
Customization is one of the key benefits of building your own large language model. You can tailor the model to your needs and requirements by building your private LLM. This customization ensures the model performs better for your specific use cases than general-purpose models.
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