A demo runs on data someone cleaned, in front of an operator who wants it to work, on the path the vendor rehearsed. Production has none of those three conditions, which is why the gap between them is measured in quarters rather than in features.
Four things a demo hides
- Data reality — the demo set is representative; your archive is twenty years of exceptions, duplicates and formats nobody documented.
- Edge-case volume — the demo shows the eighty per cent. The twenty per cent is where your team's time actually goes.
- Operator expertise — the person driving the demo has run it a hundred times. Your team has run it never.
- Workflow dependencies — the demo is one step. In production that step has three systems upstream and a compliance check downstream.
How to make a demo predictive
Insist on three conditions before you watch anything. Your input, not theirs. The failure cases shown, not hidden. And the people who would operate it in the room, asking their own questions.
Public sessions do all three better than private ones, for the simple reason that a vendor who agrees to be watched by an audience they do not control has already accepted that the awkward questions will be asked.
Keep reading
Reading helps. Seeing the capability tested is better.
When you're ready to move from ideas to evidence, bring us the problem and we'll build the right session around it. The first one is free.