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Project Lifecycle Types in PMP [Exam Notes]

  • Writer: Karthick Kumar Rajappan
    Karthick Kumar Rajappan
  • Feb 18
  • 2 min read

Updated: Feb 23


Type

Description

Best For

Predictive (Waterfall)

Sequential and plan-driven

Stable, well-defined projects

Iterative

Repeated cycles with evolving understanding

Complex but scope can be refined

Incremental

Deliverables released in usable pieces

Quick customer value delivery

Agile

Adaptive and flexible with short cycles

High change and uncertainty

Hybrid

Combination of predictive and agile

Mixed environments or complexity

Predictive Lifecycle (Traditional / Waterfall)

  • Scope, cost, and schedule are defined early

  • Progresses through linear phases (e.g., initiation → planning → execution → closing)

  • Changes are costly and discouraged

  • Used in construction, manufacturing, and infrastructure projects

  • Heavily process-oriented → detailed plans and strict control

  • Example: Building a hotel: site survey → foundation → superstructure → interiors → commissioning.

Iterative Lifecycle

  • Scope is known, but requirements evolve

  • Feedback is collected after each iteration

  • Final product delivered at end of lifecycle

  • Good when projects require prototyping or learning

  • Planning at a high level first, then refines in cycles

  • Example: Designing a new energy-efficient HVAC system: initial prototype → test → refine → retest.

Incremental Lifecycle

  • Delivers usable product increments (pieces) early and often

  • Each release adds value to the end user

  • Complete products after all increments are combined

  • Focus on early delivery of partial functionality

  • Less emphasis on refining the same piece; more on adding pieces

  • Example: Developing a hotel mobile app: release 1 = booking module, release 2 = loyalty program, release 3 = in-room services.

Agile Lifecycle

  • Highly adaptive, iterative + incremental

  • Small cross-functional teams

  • Requirements evolve through customer collaboration

  • Embraces change at any time

  • Deliverables completed in short time-boxed iterations (sprints)

  • Common in software, marketing, R&D

  • Supports continuous feedback and testing

  • Example: Developing a cloud-based room reservation platform with continuous delivery and evolving UI.

Hybrid Lifecycle

  • Combines predictive and agile in a strategic blend

  • Typically: core project (structure, civil) = predictive; innovation or tech parts = agile

  • Balances control with adaptability

  • Most real-world projects use hybrid

  • Choose lifecycle per component or phase

  • Example: Hotel construction project: Predictive: civil, MEP, façade Agile: custom guestroom automation software, marketing campaign

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