Founders tend to picture due diligence as lawyers and accountants checking books, contracts and cap tables. That part is real but templated — it wraps up in a week or two. What actually decides whether a deal closes is product diligence, and most teams are not prepared for it.
Among the projects we have coached, more than half of the deals that died after a term sheet did not die over valuation. They died because the investor looked at the data dashboard, called a few users, and said "let's keep watching" — the industry's standard way of saying no.
First, they sign up and use your product for thirty minutes themselves — not a screenshot from an associate, but the partner walking your entire core flow. One AI-tool founder told us the investor happened to hit a 40-second API timeout during that session. Nobody said anything; the term sheet was pulled two weeks later.
Second, they ask for three to five real users and call them one by one. The questions are plain: how often do you use it, when was the last time, would you pay if it charged tomorrow? Prepping users doesn't work — ten minutes in, they can tell. A user who casually names your product's flaws is actually a plus: proof of deep, real usage.
Third, they want raw screenshots or read-only access to your analytics. Not total signups — weekly retention curves, session length, completion rates on core flows. Retention is the one metric you cannot fake: acquisition can be bought, the shape of the curve cannot. We watched a project with 80,000 registered users get the meeting ended early because week-one retention was 3% and the week-eight line was flat on zero.
The projects that pass look remarkably alike: the core flow never breaks when an investor picks it up; a base of genuine fans exists who praise the product unprompted; and retention, even if modest, flattens between week four and week eight — the users who stayed, stayed. Investors don't fear a small product. They fear a product nobody comes back to.
Instinct — which just raised $1B at 4x its valuation from a month ago — is the extreme case: no app, text-message interface, no disclosed user metrics, yet Sequoia, Benchmark and Coatue all piled in. Why? Because its product verifiably finishes tasks: booking flights, cancelling subscriptions, calling businesses. Success is binary — it cannot be hidden or hyped. At that level of completeness, how much data you disclose stops mattering.
That is what 51Kaifa keeps telling clients: product completeness is not just a UX issue — it is written into the terms of your next round. Stabilize the core flow and flatten the retention curve, and those two weeks of diligence get a lot easier.
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