A key barrier is that digital findings can feel like generic analytics without visible proof. When a technician points to a worn rope or a brake issue, it’s tangible. Digital reporting needs an equivalent that feels concrete. In this project, teams will create an “evidence pack” concept for condition findings: what information should always be included so the user can validate the claim quickly and trust it. What should be shown about sensor context, anomaly patterns, and the reasoning behind the risk flag? What kind of “proof” works for industrial users? Teams will produce a prototype report/alert experience that emphasizes verifiability and clarity, not volume of data.