Kismet watches the product. It mines analytics for anomalies and opportunities, proposes a hypothesis, and can launch a small, low-risk experiment inside guardrails. It asks a product manager before it steps outside those guardrails.
Given permission, Kismet can ship small experiments on its own. Over a couple of weeks it can keep optimizing a product without someone approving every change. The run stays inside a framework: what may change, how far it may go, and when it has to stop.
Trust is the product
The hard part is statistical validity. Peeking at a result too early, testing many ideas at once, and a sample ratio mismatch can all make a win look real when it is not. Kismet treats those as safety checks. An experiment that cannot be trusted does not ship.