Scoping around a hypothesis rather than a feature list
We start by naming the belief the business is betting on and the evidence that would confirm or kill it. That single question decides scope: everything that does not help answer it is a candidate for removal, including features that feel obviously necessary. Some parts can be deliberately manual behind the scenes at first, because a human process proves demand far more cheaply than an automated one. The output is a small, honest release with a stated success criterion, so the team is not left arguing after launch about whether the result was good.
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