Week 6 Quadrants and PMLC

Week 6: Quadrants and PMLC

By Chidimma Opara

​Case 1: Insurance Claims System Revamp

• An insurance company is overhauling its online claims portal to reduce processing time and improve customer satisfaction.

• The end goal (faster, smoother claims handling), but the optimal solution features and user interface are not fully known upfront.

• The project team plan to deliver a working prototype every few weeks and gathers feedback from adjusters and customers.

• With each iteration, they refine functionality and design, gradually converging on a solution that meets the efficiency and user experience targets.

Open Ended

Case 1: Insurance Claims System Revamp

Which quadrant and PMLC does this project belong to

​Solution- Case 1: Insurance Claims System Revamp

• Quadrant: Agile Project Management (Quadrant 2).

• PMLC Model: Iterative.

• Rationale: The goal is clearly defined (performance improvement targets) but the solution details are not fully known, which fits Quadrant 2.

• An Iterative life cycle is recommended, as some solution features are initially undefined and will be elaborated through repeated build-feedback cycles.

• Each iteration produces a prototype for user review, aligning with the description of iterative projects where change is expected and incorporated until the client is satisfied.

​Case 2: Historic Building Renovation Project

• A construction team is tasked with transforming a 100-year-old building into a modern office space while preserving its historic character.

• The project goal is to build a functional, updated building meeting specific standards, but the means to get there is uncertain due to hidden structural issues and other surprises in the old structure.

• The project proceeds in stages with continuous reassessment.

• At each stage, the team uncovers new challenges (e.g., unexpected damage or code compliance gaps) and adapts the renovation plan on the fly, adjusting designs and schedules to reach the desired outcomes.

Open Ended

Case 2: Historic Building Renovation Project

Which quadrant and PMLC does this project belong to

​Solution- Case 2: Historic Building Renovation Project

• Quadrant: Agile Project Management (Quadrant 2).

• PMLC Model: Adaptive.

• Rationale: The project’s goal (the renovated building outcome) was clear, but the method to achieve it was largely unknown due to many uncertainties.

• It requires an Adaptive PMLC model, because very little of the solution can be planned upfront and significant discovery happens in each phase.

• Adaptive projects are appropriate when the breadth and depth of the solution are initially missing, necessitating continuous plan adjustment with each iteration until the goal is met.

​Case 3: Insurance Tech Innovation Initiative

• In an insurance company’s innovation lab, a team is chartered to create a groundbreaking new service using emerging technologies (AI, IoT, etc.).

• However, neither a specific end-goal nor a clear solution path is defined. It’s a broad exploratory venture.

• The team experiments with various concepts in search of a viable breakthrough.

  Plans may change radically with each discovery or setback, and many attempted ideas are expected to fail.

• Through trial-and-error learning, they hope to eventually identify a successful product concept, knowing the outcome is highly uncertain.

Open Ended

Case 3: Insurance Tech Innovation Initiative

Which quadrant and PMLC does this project belong to

​Solution- Case 3: Insurance Tech Innovation Initiative

• Quadrant: Extreme Project Management (Quadrant 3).

  PMLC Model: Extreme (xPM).

• Rationale: Neither a concrete goal nor a defined solution existed at the outset, which fits Quadrant 3.

• The Extreme PMLC model is appropriate, as xPM is designed for projects where both goal and solution are unknown (typical of R&D efforts).

• This model provides maximum flexibility for the team to experiment and pivot as needed, which is crucial when dealing with “fuzzy” goals. In each phase the team and client focus on discovery and learning, adjusting scope until (hopefully) the goal and solution converge on a viable outcome.