Agile vs Waterfall
What is the difference between agile and waterfall?
Agile and waterfall are two approaches to delivering projects. Waterfall completes each phase in sequence with detailed upfront planning, while agile delivers in short iterations, adapting plans as it learns.
Updated November 2026 · 5 min read
Every project has to answer a basic question: how much should be planned before work starts, and how much should be learned along the way? Waterfall and agile give opposite answers. Waterfall plans the whole project upfront, then moves through requirements, design, build, testing and release in sequence, with each phase finished before the next begins. Agile plans in short cycles, delivers working results every few weeks and adjusts the plan based on what it learns from users and stakeholders. Neither is right for every situation, and many organizations use both. The choice affects not just how teams work but how projects are funded, governed and measured.
The waterfall model is often traced to a 1970 paper by Winston Royce, who described sequential phases but also warned of their risks and recommended iteration. Agile took its name from the Agile Manifesto, written in 2001 by 17 software practitioners who valued working software and responding to change over comprehensive documentation and following a plan. For delivery leaders, project managers, product managers and executives, understanding the difference helps choose the right approach for each piece of work.
Definition of Agile vs Waterfall
Waterfall is a sequential delivery approach in which requirements are defined in full at the start and the project moves through distinct phases, each completed and approved before the next. Agile is an iterative approach in which work is delivered in small increments over short cycles, with requirements and plans refined continuously based on feedback.
Agile values are set out in the Agile Manifesto, widely used agile frameworks include Scrum and Kanban, and waterfall is closely associated with the stage-gate process.
Key Differences
Planning. Waterfall plans the full scope, schedule and budget upfront. Agile plans in detail only for the next few weeks and keeps the longer-term plan flexible.
Delivery. Waterfall delivers the finished product at the end. Agile delivers working increments throughout, so users can see and use results early.
Change. Waterfall treats changes as exceptions managed through formal change control. Agile expects change and reprioritizes the backlog regularly.
Feedback and risk. Waterfall tests and gathers feedback late, so problems may be found near the end. Agile tests and gathers feedback every cycle, finding problems early.
Hybrid Approaches
Many organizations combine elements of both. A program may use waterfall-style planning and governance for fixed milestones and contracts, while teams deliver in agile iterations.
Hybrid approaches are common in regulated industries, hardware and software products and large contracts with fixed scope.
The risk of hybrids is getting the overhead of both without the benefits of either, so the reasons for each choice should be clear. A common hybrid pattern is to agree on the overall goal, budget and key milestones upfront, while leaving the detailed scope to be discovered through iterations.
Importance of the Choice in Delivery and Engineering Operations
The right approach reduces risk. Agile reduces the risk of building the wrong thing when requirements are uncertain, while waterfall can reduce coordination risk when requirements are stable and well understood.
It affects speed to value. Agile delivers usable results early, while waterfall delivers value only at the end of the project.
It also shapes governance and funding. Waterfall fits fixed budgets and stage approvals, while agile fits funding persistent teams and reviewing priorities regularly.
Agile vs Waterfall and Financial Management
Waterfall offers more certainty about budget at the start, but that certainty often proves false when requirements change late.
Agile can deliver value, and start returns, before the full scope is complete, and can stop work early if it is not delivering.
Fixed-price contracts are easier to write for waterfall projects, while agile work often suits time-and-materials or capacity-based contracts.
Late discovery of problems in waterfall projects can be expensive, since fixes may require revisiting design and build phases.
Common Challenges
Teams sometimes label a waterfall project agile because it uses sprints, while scope, plans and approvals remain fixed upfront.
Waterfall projects often underestimate how much requirements will change, leading to costly change requests and delays.
Agile teams can lose sight of long-term goals if they focus only on the next sprint, so they still need a clear vision and roadmap. Organizations sometimes impose one approach on all work, regardless of fit, which creates problems in whichever projects suit the other approach.
How to Choose Between Agile and Waterfall
Choosing between agile and waterfall involves assessing how certain the requirements are, how costly change will be, what constraints apply and how quickly value is needed.
The decision can be made separately for each project or part of a project, rather than for the whole organization at once.
When Each Fits
Waterfall fits work with stable, well-understood requirements, high cost of change once work begins, such as construction or some hardware, and strict regulatory documentation needs.
Agile fits work with uncertain or evolving requirements, frequent user feedback and the ability to release in small increments, which describes most software. It also suits work where early results can inform funding decisions.
Hybrid approaches fit programs that combine fixed external milestones with software development that benefits from iteration.
Making the Transition
When moving from waterfall to agile, start with a project where requirements are uncertain and users are available for regular feedback.
Adjust governance, contracts and funding so they do not force agile teams back into fixed upfront plans. Train project managers and sponsors as well as delivery teams, since their expectations shape how the work is run.
Measure results such as time to first value, cycle time and customer satisfaction, and compare them with previous projects. Share these comparisons openly, so decisions about future projects rest on evidence rather than preference.
Examples of Agile and Waterfall in Practice
The examples below show agile and waterfall in practice.
Both use illustrative figures. The first moves a project to agile, and the second keeps waterfall where it fits.
In each, the choice reflected the nature of the work.
Moving a Project to Agile
A retailer's waterfall project to build a new loyalty app is 14 months in, and early user testing shows customers dislike the main features.
The company restarts with an agile team releasing a minimum version in 10 weeks and improving it every two weeks based on user data.
The app reaches its active user target four months after launch, having dropped two features users never asked for.
Keeping Waterfall Where It Fits
A utility company is replacing physical meters across a region, with fixed regulatory deadlines and installation crews booked months in advance.
It uses a waterfall plan for the rollout, while the team building the meter data software works in agile iterations.
The rollout finishes on schedule, and the software team adds reporting features based on early field feedback.
Conclusion
Agile and waterfall are two approaches to delivery. Waterfall plans everything upfront and works through phases in sequence, while agile delivers in short iterations and adapts plans based on feedback. Many organizations use hybrid approaches.
In delivery and engineering operations, choosing the right approach reduces risk, affects how quickly value is delivered and shapes governance and funding. Assessing requirement certainty and cost of change, matching governance to the approach, avoiding agile in name only and measuring results help organizations choose well.
Related terms
Scrum
An agile framework of short Sprints, three roles and regular inspection.
Kanban
Visualizing work, limiting work in progress and improving the flow.
Cycle Time
How long an item takes from the moment work starts until it is done.
Definition of Done
The shared checklist work must meet before anyone calls it finished.