Not every problem needs Scrum.
Scrum was designed for complex problems — where neither requirements nor solution path are clear upfront.
Scrum lives here- Simple: Known path → Kanban is enough.
- Complicated: Expert path → Known methodology.
- Chaotic: No path yet → Act first, analyse later.
- Complex: Unknown path → You discover the answer, not plan it.
The bottleneck moved.
AI has dramatically expanded the throughput of Delivery — what used to take weeks now takes hours.
The constraint is no longer writing code. It is deciding what is worth building — filtering demand, framing the problem, choosing what not to do.
Feature factory — on steroids.
Speed is not the problem. Strategic disconnection is — and AI amplifies it.
- Stakeholders push for more. Roadmaps expand.
- Teams execute without questioning value.
- Outcomes do not scale with velocity.
AI accelerates one link. The chain has five.
The logical model (Seiden) shows what connects effort to value. AI dramatically accelerates Outputs. The problem: teams celebrate output velocity as if it were outcome velocity.
Without clear Sprint Goals and Product Goals, more output just means more noise.
When velocity goes up, the measurement gap widens.
As the pace of delivery increases, the lag between what we ship and what we measure — user behaviour change, retention, conversion — grows proportionally.
Flying at ×17 speed without outcome signals is navigating blind. The faster you go, the more you need a compass.