Gather System Inputs and Ecosystem Data
Collect historical founder application data, programme capacity constraints, and current performance metrics across all ecosystem providers. Synthesise existing data structures to ensure the proposed routing rules integrate seamlessly with public database schema and reporting tools.
Assembling robust empirical data ensures that routing logic is built upon realistic ecosystem capacity and historical founder behaviours. This grounds the configuration in operational reality rather than theoretical assumptions.
Produce a structured audit of existing ecosystem datasets, programme capacity limits, and data intake schemas. Provide empirical evidence of previous referral volumes and pathway conversion rates to inform baseline logic.
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 data sources have you audited to ensure historical intake volumes reflect actual ecosystem demand?
- 2
How reliable is the existing dataset regarding programme completion rates and founder post-support progression?
- 3
Why have you included or excluded specific data points from the initial founder intake schema?
- 4
How do you account for data gaps or inconsistent reporting across third-party ecosystem delivery partners?
- 5
What assurances exist that incoming venture data conforms to relevant UK data protection regulations?