For many founders, due diligence feels like an interrogation. An investor's analyst picks through your model line by line, questioning every assumption, flagging every inconsistency, and stress-testing every scenario. It can feel adversarial, but it doesn't have to be.
The difference between a painful due diligence process and a smooth one usually comes down to preparation — specifically, how your financial model is structured.
Traceability
Every number in your model should be traceable to an assumption, and every assumption should be justifiable. "We assumed 10% month-over-month growth" isn't enough. Why 10%? Based on what data? What does your historical performance suggest? What are comparable companies achieving?
A well-structured model makes this traceability effortless. Assumptions are clearly labelled, linked to outputs, and documented. When an analyst asks "where does this number come from?", the answer should be one click away — not a forensic exercise.
Sensitivity analysis
Investors want to know what happens when things go wrong. Not because they expect failure, but because they want to understand the risk profile. A model that can show the impact of key variables changing — revenue growth, churn, hiring timing, cash collection — demonstrates that you've thought about downside scenarios.
The best founders present sensitivity analysis proactively. "Here's our base case. Here's what happens if growth is 30% slower. Here's our cash-out date under each scenario." This builds confidence because it shows you're managing risk, not ignoring it.
Clean structure
Due diligence analysts review models structurally before they review them financially. Is the model logically organised? Are inputs separated from calculations? Do formulas flow in one direction? Are there circular references?
A model built in Radley Finance passes these structural tests by default. The architecture enforces clean separation between assumptions, calculations, and outputs — so when due diligence happens, the model is ready.
