I turn your most complex problem into something as obvious as a chair, and build a working version in hours or days.

One guided modal, restructured into a clear tab rail — Task, Distribution, Recurrence, Properties, and Log Reports are tabs in a single contextual window from the “+” menu, with the Hub as the parent behind it.

Engineering wanted every follow-up to replace the last chart. I argued the analytical journey is a thread and pushed for append — and won. A new answer stacks below; the previous one folds into a 48px header you can reopen with a click. You can always trace how you got here — and the UI never becomes a wall of noise.

Four steps, no branching — Problem type → Target → Predictors → Hyperparameters. Every step carries plain-language help, and defaults are pre-set, so a business user goes from dataset to trained model without a data-science degree. The structure came straight from mapping the domain with the data scientist.

Three scattered menus became one plugin inside the existing Hub — HUB → IQ Plugin → Discover, the hub's home, and three tools, each opening onto its own workflow. One entry point, one mental model; the restructure was front-end. The engines already existed; the architecture is what made them one product.