I’m working on a problem I keep running into when dealing with complex financial analysis systems (quant, risk, governance, infra). Markets are obviously uncertain, that’s not the issue. The issue is that, ex-post, it’s often very hard to reconstruct what the system actually observed at a specific point in time. Typical questions that become surprisingly hard to answer a year later: - What data was actually available at time T? - In what order was it processed? - Which transformations and constraints were applied? - What was explicitly known vs implicitly assumed? - Can this observation be replayed deterministically, without hindsight? In practice, dashboards change, pipelines evolve, inputs get revised, and explanations become narrative rather than evidential. I’m curious how people here deal with this in real systems: - Is this a problem you recognize? - Do you solve it structurally, or mostly through process and/or/with documentation? - Are there established patterns I’m missing?

Not pitching anything, I’m genuinely trying to understand how others approach this.

thank you!