Predictive and adaptive delivery are not simply slow versus fast. They make different assumptions about how predictable the work is, when feedback becomes available, how costly change is, and how value can be released.
Understand how delivery models organize uncertainty, feedback, planning, and control.
Scope and requirements are established and baselined earlier, and work often progresses through planned phases and approvals. This can fit stable work, expensive change, or formal control and regulatory evidence.
Many organizations use hybrid controls; the key is to make the operating model explicit.
A bank must meet fixed compliance controls while exploring a new customer onboarding experience.
Identify fixed regulatory evidence and approval gates.
Separate them from uncertain experience and adoption questions.
Use controlled phase gates for compliance and iterative prototypes for the customer journey.
Maintain traceability between evolving stories and approved controls.
A hybrid model preserves governance while enabling early user feedback and incremental learning.
Open each answer, then practice saying it naturally in your own words.
Predictive delivery establishes and baselines more detail earlier; adaptive delivery uses increments and feedback to refine decisions. Compare uncertainty, governance, verification, involvement, release cadence, and cost of change.
A usable, verified, additive result that meets the agreed quality standard; its release timing is a separate decision.
A cap on work in progress used to improve flow.
A repeated cycle of delivery, observation, learning, and adjustment.
Elapsed time from request to completion.
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