Generic questions get vague answers. Data-driven questions get the seller on the record.
When viewing a used car, most buyers arrive with the same questions:
"Has it been serviced?"
"Any accidents?"
"Why are you selling?"
"Does everything work?"
The problem: These questions are easy to answer without saying anything meaningful. A seller who says "yes, fully serviced, no issues" has told you nothing that commits them to anything. The questions themselves need to change.
The most effective questions are the ones the seller isn't expecting – because they're based on what actually fails on this specific make and model. Knowing the weak spot before you arrive changes the conversation:
"Any issues with the suspension?"
"Have the rear suspension bushes been replaced?"
App screengrab

A tailored inspection checklist built from this model's most common failure points - specific things to look for, ask about, and factor into your offer.
BIB analyses thousands of MOT failures for this exact make, model, and year to identify the patterns that matter:
The failure items that appear most frequently across thousands of examples of this car – what consistently goes wrong, and when.
Components that fail at a higher rate on this model than the class average – the issues that are specific to the design, not just general wear.
Problems concentrated in particular production years, where a manufacturer change or component revision makes one year notably different from another.
BIB turns these patterns into a set of specific, targeted questions generated for this exact car. Arrive knowing what the data says – and ask accordingly.
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