CAPM Practice: Explain when it is appropriate to use a predictive, plan-based approach

A well-proven migration methodology applied multiple times is the strongest indicator for predictive: the process is known, requirements are established by the proven methodology, the technology is understood, and outcomes are predictable. The other options all involve high uncertainty (startup MVP, evolving digital strategy, novel scientific research) better suited to adaptive approaches.

**Why not A:** A research team exploring a new scientific domain with no prior data faces maximum uncertainty — the very conditions where predictive approaches are least effective. Without known requirements or established processes, upfront planning would be based on guesswork rather than reliable information.

**Why not B:** A startup developing a minimum viable product with uncertain market fit requires rapid iteration and customer feedback to discover what works. Predictive planning would lock in assumptions about market needs that are, by definition, unvalidated.

**Why not C:** An enterprise defining a new digital strategy with evolving stakeholder expectations involves significant uncertainty and changing requirements. The evolving nature of expectations makes it difficult to establish stable baselines, which is a prerequisite for effective predictive management.