Gather Multi-Source Context and Market Inputs
Collect key documentation from internal university archives, tech transfer office files, and lab records alongside external market data. Gather direct feedback from prospective industry licensees, regulatory frameworks, and market landscape analyses to benchmark asset utility.
Synthesising internal technical data with external market feedback grounds academic assets in commercial reality. This ensures that the venture's asset evaluation is backed by external market demand rather than internal technical bias.
The founder must compile a consolidated input repository containing tech transfer office correspondence, grant terms, industry feedback transcripts, and relevant prior art search reports. The venture must demonstrate clear line-of-sight between raw research data and external market requirements.
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 evidence from potential industry licensees validates that these specific research outputs solve a high-value problem?
- 2
Why did you accept the university Tech Transfer Office's initial asset classification without independent market verification?
- 3
How do your gathered inputs reflect the regulatory hurdles required to commercialise this specific research asset?
- 4
What primary feedback from customer discovery interviews contradicts your assumptions regarding the technology's readiness?
- 5
How robust is the prior art search input you gathered, and who conducted the search?