Choosing the right project development approach is one of the most strategic decisions in managing any initiative. This choice determines how the project is planned, the frequency of deliverables, and the team's ability to adapt to change.
In this guide I explain what types of development approaches exist, when it is appropriate to use each one and what factors you should evaluate to make the best decision according to the characteristics of your project, your team and your organization.
What is a Development Approach for a project?
According to the PMI's PMBOK Guide, a project development approach is the method used to create and evolve the product, service, or result throughout the project life cycle. This approach determines the delivery cadence, the degree of advance planning, and the responsiveness to change.
The chosen approach directly influences the planning, execution, and overall success of the project. There is no single best approach; what works for a project with stable requirements may be counterproductive in a highly uncertain environment.
The 5 Types of Development Approaches
The five main approaches recognized by the PMBOK are described below:
Predictive Approach (Waterfall)
The predictive approach—also known as Waterfall The waterfall model—or model—is structured in well-defined sequential phases. It is ideal for projects where the requirements are clear from the outset, the scope is stable, and there is little uncertainty. A typical example is the construction of physical infrastructure or projects with strict regulations that require detailed documentation.
When to use it:
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Requirements that are well-defined and unlikely to change.
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The deliverable is fully understood before starting.
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Extensive documentation and regulatory approval are required.
Adaptive (Agile) Approach
Adaptive approaches—such as Scrum or Kanban—are characterized by rapid iterations, continuous feedback, and active stakeholder participation. They are especially effective when requirements and scope are difficult to define in advance, or when a large number of changes are expected during the project lifecycle.
If you want to see a practical example, check out my article: Agility in Data Center Projects
When to use it:
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High level of uncertainty or complexity.
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The requirements evolve as the project progresses.
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Value needs to be delivered frequently and iteratively.
Iterative Approach
The iterative approach is based on repeated cycles of analysis, design, construction, and testing. Each iteration refines and improves the deliverable based on the feedback received. It is particularly useful when exploring design options or clarifying requirements through prototyping.
When to use it:
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The initial requirements are ambiguous and need clarification.
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The aim is to reduce risks through prototypes or progressive testing.
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There is only one delivery in the end, but its form is revealed during the process.
Incremental Approach
The incremental approach breaks down the deliverable into functional components that are developed and delivered progressively. Each increment adds functionality to the product, allowing stakeholders to realize value before the project is fully completed.
When to use it:
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The deliverable can be divided into modules or independent components.
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The aim is to accelerate the return on investment with partial deliveries.
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Those interested benefit from receiving operational functionality early on.
Hybrid Approach
The hybrid approach combines elements of predictive and adaptive methodologies, tailoring it to the specific needs of each project. For example, a project might use a predictive framework for overall governance and high-level phases, while the development phase is executed using agile sprints.
According to a 2024 global survey, 891% of project management professionals use some combination of methodologies to manage their projects.
When to use it:
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Different parts of the project have different levels of certainty.
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The structure of a predictive approach is needed with the flexibility of an adaptive one.
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The organization is in transition to agile practices.
Comparative Table of Development Approaches
| Criterion | Predictive | Adaptive | Iterative | Incremental | Hybrid |
|---|---|---|---|---|---|
| Clarity of requirements | High | Low | Average | Medium-High | Variable |
| Delivery frequency | One at the end | Frequent | One at the end | Progressive | Variable |
| Tolerance for change | Low | High | Average | Average | Medium-High |
| Planning level | Exhaustive | Minimum advance payment | Progressive | Due to increase | Combined |
| Customer participation | At the beginning and end | Continue | Periodic | Periodic | Variable |
| Example of use | Civil construction | App development | Prototype design | Modular platform | ERP with phase ag |
8 key factors for selecting a project development approach
The PMBOK Guide establishes a set of variables that must be evaluated when deciding which approach to use. These factors are grouped into three categories: product/outcome, project, and organization. The eight most relevant factors related to the product or outcome are detailed below:
1. Degree of Innovation
When the deliverable involves something completely new to the team or organization, there is greater uncertainty. Adaptive or iterative approaches allow for progressively exploring solutions, while predictive approaches work best when working with already known technologies and processes.
2. Certainty in the Requirements
If the requirements are well-defined and stable, a predictive approach is more efficient. When they are ambiguous or prone to evolve, adaptive approaches allow them to be discovered and refined throughout the project.
3. Range Stability
A volatile scope—where frequent changes in project expectations are likely—favors adaptive approaches. If the scope is firm and approved from the outset, a predictive approach maintains the necessary control.
4. Ease of Change
The physical or technical nature of the deliverable influences the choice. Software can be modified relatively easily, while a concrete structure cannot. Deliverables that are easily modifiable benefit from adaptive approaches; rigid ones, from predictive approaches.
5. Delivery Options
If the deliverable can be broken down into independent functional components, incremental, iterative, or adaptive approaches are ideal. For monolithic deliverables—where the product only has value if delivered complete—predictive approaches are usually more appropriate.
6. Risk
High-risk projects require thorough analysis before selecting an approach. In some cases, an iterative approach allows for risk mitigation through early feedback loops. In others, rigorous planning with a predictive approach is necessary to anticipate and control threats. If you want to learn more about managing IT project costs, also check out this article on: Keys to IT cost management
7. Security Requirements
When the product must meet strict safety standards (for example, in industries such as healthcare, aviation, or energy), predictive approaches facilitate comprehensive planning that ensures the identification, implementation, and validation of every critical safety measure.
8. Regulations
Environments with significant regulatory oversight—such as the financial or pharmaceutical sectors—often require predictive approaches due to the demands of documentation, traceability, and proof of compliance.
How to choose the right project development approach
Choosing the right approach isn't a simple binary choice between "agile" and "traditional." It's an analytical exercise that must consider multiple dimensions simultaneously. Here's a practical sequence to guide your decision:
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Evaluate the deliverable: Is it something familiar or innovative? Can it be divided into parts? Is it easy to modify?
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Analyze the requirements: Are they clear? Could they change? Are there regulations to comply with?
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Consider the project: What are the time and budget constraints? What level of stakeholder involvement do they have?
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Evaluate the organization: Does the team have experience with agile methodologies? Does the organizational culture favor flexibility or control?
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Define the approach (or combination): Based on the points above, select the approach that best aligns with the context. Remember that a hybrid approach can be the solution when different parts of the project require different strategies.
Tools such as the Stacey Matrix, the Cynefin Framework, or scoring matrices like the one proposed by Genialprojects can complement your analysis and support the decision with a structured framework.
Before starting your next initiative, review these criteria and select the project development approach that best aligns with your context.
To further improve your practice, you can read more in the category Project Managementfrom this blog