Waterfall and Agile are well-known methodologies in project management, and they are especially popular in software development.
The choice of the methodology that your company follows can determine the success of your projects, so it’s vital to find a management style that suits your needs.
However, the methodology you choose won’t only impact developers and testers—technical documentation is also a huge part of software projects, so the choice between Waterfall and Agile also impacts your tech writers.
In this article, we’ll examine how technical documentation is tackled in each methodology and what their benefits and drawbacks are.
By the end of the article, you’ll be able to decide on the documentation style that allows your writers to create helpful documents in the most efficient way.
Technical Documentation in the Waterfall Methodology#
Before we dive into technical documentation in the Waterfall methodology, let’s review the methodology itself to get the whole picture.
The Waterfall methodology, also referred to as the Waterfall model, is a development approach that follows a sequential process through all stages of a project, including analysis, design, development, and testing.
In this approach, each phase is completed before the next one begins, flowing like a waterfall—hence the name.
If you’re a visual learner, the following image might illustrate the methodology better.
Source: BiPlus
As you can see, once the cycle ends, the team doesn’t return to it, which is why all development elements have to be near perfect from the get-go.
So, how does technical documentation fit into this?
Well, just like all other aspects of the project, documentation is also planned in advance. If any changes occur during the development process, the documentation is updated immediately.
Here’s how Adobe Business sees the value of the Waterfall methodology when it comes to tech documentation.
It is said that the Waterfall methodology follows the adage to ‘measure twice, cut once.’
The success of the Waterfall method depends on the amount and quality of the work done on the front end, documenting everything in advance, including the user interface, user stories, and all the features’ variations and outcomes.
As the Waterfall methodology itself is very rigid, so is the process of creating technical documentation.
This can be a good thing because it results in meticulously written, comprehensive internal and external documentation.
On the other hand, the lack of flexibility makes changes difficult.
So, if you’re venturing into a project that’s unlike any other you’ve previously done, you know you can expect changes throughout the development process, meaning that Waterfall is not the best approach to take there.
However, if you’re certain of your plans, then this methodology can instill structure into both the project and the documentation.
Source: Twitter
To sum up, technical documentation in the Waterfall methodology requires a lot of preparation. Instead of being an afterthought, the documentation is carefully planned and written in detail.
Seeing as some companies and development styles (for instance, startups) aren’t compatible with the Waterfall methodology, there’s a diametrically opposite way to develop and document products.
That’s right—we’re talking about Agile, the subject we’ll tackle next.
Technical Documentation in Agile Methodologies#
Again, we’ll start by reviewing the methodology in general.
Agile is a software development methodology that revolves around the continuous delivery of working software created in rapid iterations.
These cycles are called sprints, and it takes several of them to finish a project.
You can find a visual representation of the Agile methodology below.
Source: BiPlus
Seeing as Agile works on the principle of iterative development and continuous improvement, it lets you treat the documentation the same way: what’s not documented now can be documented later, when needed.
Agile technical documentation is also closely related to just-in-time (JIT) documentation, an approach that encourages creating living, flexible tech documents instead of rigid ones.
All of these characteristics are in accordance with the core principles of The Agile Manifesto, which emphasizes that although comprehensive documentation has its place in software development, working software always comes first.
Source: Agile Alliance
Does this mean that Agile development companies should abandon documenting their products?
Absolutely not.
Instead, Agile aims to make documentation less intimidating—the focus is on documenting the important things, not capturing every single detail that may or may not turn out to be useful down the line.
That way, you can reduce the time spent documenting while still providing developers and end-users with helpful resources to learn about the product.
And although project managers and support staff are usually the ones who push for documentation, even developers themselves will tell you that it’s wrong to expect customers to use products that aren’t documented.
TURN STATIC DOCS INTO INSTANT ANSWERS
Build beautiful knowledge portals that are easy to navigate, search and share
Source: Twitter
Because of that, Agile does provide time for writing technical docs—it just doesn’t let the documentation overshadow the rest of the project.
So, when you consider how flexible Agile is in terms of technical documentation, you can see why many companies choose this management approach.
It’s quick, it’s adaptable, and, most importantly, it lets you respond to the changes that inevitably occur during software development.
Documentation in Waterfall vs. Agile: Key Differences#
Both methodologies share the goal of delivering useful documentation to readers, yet the paths they take to reach that goal differ significantly.
While Waterfall has a rigid approach to technical documentation, Agile allows for some leeway. Here’s how one site reliability engineer humorously describes the difference.
Source: Twitter
On a serious note, the numerous differences between tech documentation in Waterfall and Agile can be a bit challenging to grasp.
Because of that, we’ll now provide a side-by-side comparison of the key differences so that you have a complete review in one place.
**Methodology
Waterfall**
**Agile
Amount of documentation**
Every detail is documented.
Minimal documentation.
Types of documents
Documents related to planning, processes, standards, metrics. Product, system, architecture, requirements docs. End-user documents.
Only crucial docs, such as user guides or API documentation.
Documentation format
Standardized templates.
Relying on best practices that may differ from project to project.
Reviewing documentation
Formal review and approval processes.
The “Just Barely Good Enough” (JBGE) principle.
Making changes
Time-consuming because all documentation is interconnected.
Easily adaptable to changes.
Now that we’ve laid out the differences between documentation in Waterfall and Agile, it’s time to weigh which methodology is better.
Waterfall vs. Agile: Which One Is Better for Documentation#
If you were hoping for a definitive verdict on which methodology is better, you may be disappointed to find that the answer isn’t so straightforward.
Each methodology has its place in software development and technical writing.
Still, the majority of companies lean toward Agile, according to a Hewlett Packard survey.
Source: Hewlett Packard
The reason for that might lie in the fact that software developers and technical writers alike appreciate the flexibility of the methodology.
Flexibility and adaptability are especially valuable in fast-paced companies where customer demands can change weekly, and Agile lets you adjust your technical documentation as your projects advance.
In that vein, one technical writer at TWi, a tech writing company, has compared documenting Agile projects to being a journalist.
Source: TWi
On the other hand, Waterfall might be a more suitable methodology for companies that favor a by-the-book approach to development and documentation.
For instance, if your company specializes in one type of service and you already rely on predetermined documentation practices, Waterfall can help you support the structure you already have in place.
Bear in mind that you don’t have to strictly adhere to one methodology. Until you find what works best for you, you can pick and choose the best elements from both Agile and Waterfall.
As long as you manage to create helpful documentation, it’s not that important how you get there. Here is also, a complete article about agile approach to writing technical documentation & just-in-time docs!
Still, deciding on one methodology will save your team time and spare them from decision fatigue, so we encourage you to review both methodologies and see which one would fit your team’s needs better.
Conclusion#
There’s no one-size-fits-all solution when it comes to technical writing.
What works for other companies may not work for you, so you’ll have to evaluate your existing practices and compare them to Waterfall vs Agile Methodologies in technical documentation to see how you can upgrade the tech writing processes in your company.
Either way, the ultimate goal of both methodologies is developing high-quality products and, consequently, documentation, so you have nothing to lose by trying out both Waterfall and Agile to see which one you prefer.
Once you identify the most suitable methodology, you’ll likely also notice an improvement in documentation quality, and that’s what matters the most.
FAQ#
Frequently Asked Questions
In Waterfall, treat documentation as a first‑class deliverable with phase gates, baselines, and strict change control. The goal is a complete, consistent, and auditable doc set that mirrors the project’s linear stages.
Here’s a practical workflow:
- Plan up front: Create a documentation plan that maps deliverables to phases (requirements, design, build, test, release). Typical artifacts: SRS/requirements, architecture/design specs, interface contracts, verification and test plans, risk logs, deployment/runbooks, and end‑user/admin guides.
- Standards and templates: Apply a style guide, standardized templates, glossaries, naming/versioning rules, and unique IDs so content stays consistent and traceable.
- Formal reviews and sign‑offs: Run phase‑gate reviews (walkthroughs and approvals) and baseline documents at each stage to create an auditable trail.
- Change control: Use structured change management (often via a Change Control Board). Log a change request, run impact analysis, update related docs, and re‑baseline.
- Tooling and traceability: Use a document management system and requirements tools. Maintain a Requirements Traceability Matrix (RTM) linking requirements to design, tests, and user docs.
- Roles and checkpoints: Assign owners, reviewers, and approvers; integrate doc milestones into the master schedule and RACI. Add a "content freeze" before system testing and a "doc‑readiness review" before release.
Quick starter deliverable matrix:
Phase -> Key Docs Requirements -> Vision, SRS, RTM v1, Risk Register v1 Design -> Architecture Spec, Interface Specs, RTM v2 Build -> Dev Guides, Admin Guides (draft), Test Plan Test -> Test Reports, User Guides (final), Release Notes (draft) Release -> Runbooks, Training Materials, Release Notes (final)When it’s a good fit:
- Stable requirements and long planning horizons
- Regulated or safety‑critical domains that require auditability
- Outsourced/distributed projects that need precise handoffs
Trade‑offs to expect:
- Less flexibility and slower updates when requirements shift
- Higher up‑front effort and potential rework if late changes occur
Agile docs are created iteratively alongside the product. You write what users need now, evolve it as feedback arrives, and ship small improvements continuously.
Day to day, that looks like:
- Plan docs in sprints: Doc tasks live on the backlog; stories include doc acceptance criteria; your team’s "Definition of Done" includes documentation.
- Write incrementally: Update docs with each feature/fix. Pair each code PR with a doc PR so changes ship together.
- Prioritize essentials: Start with quickstarts, how‑tos, API references, release notes, and deprecations. Defer nice‑to‑haves.
- Use living systems: Keep docs in wikis or as code (Markdown/AsciiDoc) versioned with the repo. Use CI to build, lint, test links, and publish.
- Review quickly: Lightweight peer reviews, style linters, and automated checks keep quality high without slowing delivery.
- Apply JIT and "just‑barely‑good‑enough": Capture what users need now; deepen coverage based on usage, support tickets, and analytics.
- Close feedback loops: Include docs in sprint reviews/retros. Mine search terms, comments, and support cases to prioritize updates.
- Manage doc debt: Track gaps as backlog items, timebox spikes for research, and run hardening sprints before major releases.
A simple weekly cadence:
- Mon: Groom doc tickets, confirm acceptance criteria with PM/engineering.
- Midweek: Pair on PRs; writers attend standup for context.
- Fri: Publish incremental updates and release notes; review analytics and top tickets.
Common risks and fixes:
- Risk: Under‑documenting fast changes. Fix: Enforce a PR rule—no feature merges without doc updates.
- Risk: Docs drifting from product versions. Fix: Version docs per release branch and auto‑publish with CI.
Short answer: Waterfall optimizes for certainty and auditability up front; Agile optimizes for speed of learning and easy change.
Key differences:
- Timing: Waterfall documents extensively before development phases progress; Agile writes and updates continuously during sprints.
- Scope and depth: Waterfall targets comprehensive coverage early; Agile ships the minimum useful content first, then expands.
- Governance and quality: Waterfall relies on templates, formal reviews, sign‑offs, and baselines; Agile favors lightweight formats and peer reviews guided by "just‑barely‑good‑enough."
- Handling change: Waterfall uses controlled, slower change management; Agile expects change and incorporates it readily.
- Artifacts and formats: Waterfall leans on structured specs, plans, and standards; Agile leans on living docs (wikis/docs‑as‑code), release notes, and user‑centric guides.
- Traceability: Waterfall emphasizes full RTMs and end‑to‑end traceability; Agile uses linking and versioning in tools, adding formal traceability when required.
- Risk profile: Waterfall risks outdated docs if requirements shift late; Agile risks gaps if teams don’t enforce doc discipline.
- Best fit: Waterfall suits stable, regulated, or high‑predictability projects; Agile suits evolving products and teams seeking rapid feedback.
It depends on your product risk, regulatory needs, and release cadence. Use these guides:
Choose Waterfall if you need:
- Stable requirements and long planning cycles
- Compliance, audits, and rigorous traceability
- Formal sign‑offs and contractual handoffs
Choose Agile if you value:
- Frequent releases and continuous feedback
- Rapid iteration with docs that evolve alongside code
- Lightweight processes and quick updates
Helpful hybrids:
- Baseline the core: Lock down requirements, architecture, and standards early; iterate user/dev docs in sprints.
- Develop in Agile, validate in Waterfall: Ship iteratively, then run formal reviews and V&V before regulated releases.
- Waterfall for compliance, Agile for experience: Keep RTMs and formal records for audits while iterating end‑user and API docs.
Set yourself up for success (any approach):
- Define ownership, a clear "Definition of Done" for docs, and a steady review cadence.
- Maintain a single source of truth, versioning, and release notes discipline.
- Track doc metrics: freshness, task success, search success, ticket deflection.
Decision tip: If your roadmap changes monthly and you release often, start Agile. If you face strict regulators or fixed‑price contracts, lean Waterfall or a hybrid that preserves auditability.
Both aim to make software easier to build, use, support, and audit by providing clear, accurate, and discoverable information.
Shared goals:
- Accurate and current content aligned with real product behavior
- Clear, concise, and task‑focused guidance
- Easy to find and navigate for different audiences
- Fit for purpose across engineering, customers, support, and auditors
Expected outcomes:
- Faster onboarding and reduced support burden
- Better decision‑making for teams and stakeholders
- Lower risk and improved compliance readiness (where applicable)
Ways to measure success:
- Freshness: time since last update; alignment with current release
- User outcomes: task success, time to first value, search success rates
- Support impact: ticket deflection and coverage of common issues
- Coverage: critical workflows, APIs, and edge cases
- Compliance: documentation completeness for audits/certifications
Bottom line: Pick the path that matches your delivery model, measure what matters, and iterate so quality keeps pace with your product.