Robust due diligence enables investors to steer clear of flawed startup investments. But proper diligence requires dozens of hours of work. Founder data rooms rarely meet expected standards of accuracy, completeness, and clarity, increasing investor time, cost, and risk.

Investors can dramatically streamline the process by applying maturity model principles to due diligence.

This interactive workshop blends multiple polls, votes, and audience discussion to spotlight pain points, highlight best practices, and provide an actionable framework to accelerate and simplify due diligence not only for investors, but also for founders working to build accurate, complete, and clear data rooms. This workshop covers standardized color-by-numbers power tools -- such as a cap table, financial model, QSBS attestation, and many others -- that reduce investor and founder diligence efforts by 50%-70% while also increasing quality and mitigating investment risk.