Audit Calibration Robustness and Evidence Reliability
Critically audit the calibration framework against edge cases, potential gaming, and statistical reliability metrics. Validate that the calibrated criteria consistently identify high-potential ventures while filtering out unsubstantiated hype.
Completing this action verifies that the calibration process withstands rigorous scrutiny and produces defensible selection results. It protects the programme's credibility by ensuring selection outputs are grounded in rock-solid evidence.
Produce a comprehensive quality audit report demonstrating inter-rater reliability scores and stress-test findings. Document explicit sign-offs from lead evaluators and investment committee representatives.
Five questions an expert would ask when reviewing your output
Use these to challenge assumptions, pressure-test your logic, and check the quality of this action's output in the context of the parent task and wider venture development.
- 1
What specific stress-test scenarios exposed weaknesses in your calibrated scoring framework during the audit?
- 2
How do you prove that the calibrated criteria do not systematically penalise capital-intensive deep-tech ventures?
- 3
Why is the inter-rater reliability score high enough to defend your decisions to disappointed founders?
- 4
How does this audit account for potential collusion or unaddressed cognitive bias among veteran panel members?
- 5
What evidence shows that this calibrated process yields better downstream investment results than informal reviews?