Audit Technical Assumptions Constraints and Dependencies
Catalogue all underlying assumptions regarding data quality, compute costs, third-party API dependencies, regulatory constraints, and latency limits. Evaluate how external dependencies or technical bottlenecks could invalidate the evaluation regime.
Surfacing these factors prevents hidden infrastructure risks and unrealistic cost structures from undermining the evaluation process. It guarantees that model testing reflects real-world operational constraints and financial realities.
A populated dependency and risk register mapping compute costs, API rate limits, data licensing rules, and latency thresholds. It must identify critical failure points and offer documented fallback plans for high-risk external dependencies.
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 critical assumptions are you making about data licensing rights and privacy compliance for your evaluation sets?
- 2
How do your compute and inference cost assumptions scale if API pricing or hardware requirements increase by fifty percent?
- 3
Which third-party vendor dependencies pose the single largest point of failure for your model evaluation plan?
- 4
What latency and throughput constraints must your deployment architecture meet to keep the solution commercially viable?
- 5
How does your evaluation framework account for potential API deprecation or model version shifts from underlying providers?