Designed a modern Finance Dashboard for Finixia.

Clean and intelligent UI with revenue overview, spending breakdown, cashflow charts, transaction history, and an AI assistant for smarter financial insights.

the purple charts make the dashboard easy to scan

What makes an A/B test readout useful to a product team?

My preferred first page answers four questions:

What changed, and by how much?

How uncertain is the estimate?

Did an important guardrail get worse?

What decision does the evidence support, and what remains unresolved?

A result can be statistically significant and still too small to matter. An inconclusive result can still leave a meaningful gain or loss plausible. The decision needs more than a green badge.

I built an independent A/B analyzer to make these checks easier to inspect. The project includes a live demo, downloadable reports and documented limitations: https://contra.com/p/mgoXb3qY-ab-test-analyzer-correct-p-values-power-and-fdr

If you work on product or CRO, what do you wish analysts put on the first page more often?

This is a strong framing of experiment readouts: separating signal, uncertainty, guardrails, and the actual decision keeps the team honest. The reminder that significance is not the same as usefulness is especially important.