Test Plan Template: Free Word & PDF Example (2026)

A test plan template is a reusable structure for documenting how a software release or project will be tested. It normally covers objectives, scope, test types, environments, test data, roles, schedule, entry and exit criteria, defect workflow, reporting and risks.

This page includes a software test plan template, a filled sample test plan, and an automation section for teams that also need a test automation plan.

Downloads: Word template · PDF template

Copyable test plan template

If you only need the template, copy this structure into Google Docs, Notion, Markdown or your preferred test-management tool:

1. Project information
2. Objectives and scope
3. Test approach
4. Environment and test data
5. Roles and schedule
6. Entry, exit and suspension criteria
7. Defect workflow and reporting
8. Risks, metrics and sign-off
9. Optional automation plan

Sections 1-8 apply to any release or project. Section 9 is only needed when the plan also covers automated tests. The worked example below fills in all nine for one SaaS release.

What is a test plan template?

A test plan template gives every release the same planning questions: what will be tested, how, by whom, in which environment, and when testing is complete enough to ship. Filling it in turns the template into a test plan for one specific project or release.

When the plan also covers automation, the optional automation section should answer questions such as:

• Which tests will be automated?
• Which tests will remain manual?
• Which tool or framework will we use?
• When will automated tests run?
• What happens when a test fails?
• Who fixes broken automation?
• How will we measure whether automation is paying off?

That final question matters.

A browser test can be technically automatable and still be a bad candidate if the workflow changes every sprint or takes more time to maintain than to execute manually.

The plan should therefore describe not only what automation will exist, but why maintaining it is worth the effort.

Test plan vs automation test plan

A software test plan coordinates the whole testing effort.

An automation test plan focuses specifically on repeatable tests executed with automation tools.

The documents can coexist.

A release-level software test plan might say:

Critical checkout and authentication flows will be automated.

The automation plan then specifies:

Login and checkout smoke suites run on every deployment, broader regression runs nightly and failed automation is triaged within one working day.

For the broader document structure, see Software Test Plan: How to Create One + Example.

What should a software test plan template include?

The Word and PDF templates use these nine sections:

If you only test manually, skip section 9. If automation is a large part of the release, section 9 usually needs the most detail.

What a full automation plan covers

The Word and PDF files keep section 9 to six short fields. When automation is a large part of the release, a full automation plan usually covers these topics:

Sample software test plan

Let's create an example for a fictional SaaS application called FlowDesk.

FlowDesk releases several times per week and currently performs its critical regression manually.

The team wants automation to protect:

• login
• signup
• password reset
• core workflow creation
• subscription upgrade
• checkout
• account cancellation

The QA team has one tester and four developers.

Core plan sections for FlowDesk

FlowDesk also wants to stop running critical regression by hand, so the rest of the example fills in section 9 in detail.

Automation test plan template (section 9)

This section works as a standalone test automation plan. The FlowDesk example below fills in each part.

9.1 Automation objectives

The plan should start with specific outcomes.

For FlowDesk:

Primary objective: Reduce repetitive manual regression around critical customer journeys and catch high-impact defects before production deployment.

Secondary objectives:

• shorten pre-release regression time
• run critical checks consistently
• detect broken user journeys earlier
• reduce dependence on one manual tester
• provide repeatable evidence after deployment

Avoid objectives such as:

Automate 90% of testing.

A percentage isn't a business outcome.

A better question is:

Which repetitive tests create enough risk or manual effort to justify automation?

If you're still deciding where automation creates value, see Test Automation ROI.

9.2 Automation scope

Not everything should be automated.

In scope

For FlowDesk:

• successful login
• invalid login
• signup
• password reset
• create core workflow
• edit core workflow
• delete core workflow
• subscription upgrade
• subscription cancellation
• critical checkout
• basic account permissions

Out of scope

Initially:

• frequently changing experimental UI
• one-off migration checks
• subjective visual review
• exploratory testing
• rare admin workflows
• complex third-party edge cases not supported in sandbox environments

Writing exclusions protects the team from turning “automation” into a project to automate every existing test.

9.3 What should be automated first?

A good automation candidate is usually:

• repeated often
• stable
• important to users
• expensive or boring manually
• deterministic
• easy to reproduce with controlled data

A useful prioritization table might look like this:

Don't prioritize only according to manual execution time.

A two-minute checkout test may still deserve automation before a 20-minute low-risk admin workflow because checkout failure has much higher business impact.

If you're new to automation, Test Automation for Beginners goes deeper into what to automate first.

9.4 Automation tools and framework

Record the chosen technology and why it fits the team.

For example:

Primary tool: BugBug

Reason:

• browser-based SaaS application
• Chromium coverage is sufficient for the first phase
• manual QA owns most regression work
• team wants recorder-first or agentic test automation
• developers can add custom JavaScript when needed or read YAML test definitions
• cloud runs and CI/CD will be introduced after the initial suite is stable

A developer-owned team might instead choose Playwright, Cypress or Selenium.

The decision should reflect ownership, not popularity.

If you're still comparing options, see:

• Test Automation Frameworks
• Automation Testing Tools Comparison
• Best Web Testing Tools

9.5 Test environments

Automated tests need predictable environments.

For FlowDesk:

Local development

Used for:

• creating tests
• debugging
• quick validation

Staging

Used for:

• pull-request or deployment validation
• regression
• E2E
• test-data manipulation

Production

Used only for:

• low-risk smoke monitoring
• read-only or controlled critical flows
• post-deployment checks

Avoid tests that create uncontrolled production data or perform destructive actions.

The automation plan should clearly state which suites can run in each environment.

9.6 Test data strategy

Test data is one of the biggest causes of unreliable automation.

For each suite, define:

• test accounts
• products or records
• account states
• environment variables
• cleanup rules
• reset mechanisms

Example:

Avoid making one test depend on data created by another.

For repeated combinations of input and expected results, a data-driven testing model may be more efficient than duplicating test logic.

9.7 Automation suite structure

Don't put every automated case into one enormous regression suite.

For FlowDesk, we might use:

Smoke suite

Runs after every staging deployment.

Contains:

• app loads
• login
• main dashboard opens
• core workflow can be created
• checkout entry point works

Target runtime: under 10 minutes.

Critical regression suite

Runs before production deployment.

Contains:

• authentication
• signup
• password reset
• core workflow
• permissions
• billing
• subscription changes
• checkout

Target runtime: under 30 minutes, with parallel execution where useful.

Full regression suite

Runs nightly.

Contains broader stable functional coverage not needed as a deployment gate.

Production smoke suite

Runs after deployment.

Contains only safe, controlled user journeys.

BugBug's guide to using test suites in test automation covers suite structure and scheduling in more detail.

9.8 CI/CD execution plan

Automation becomes far more valuable when execution is connected to development.

A simple CI/CD plan might be:

The important question isn't:

Can this tool integrate with CI?

It's:

Which suite should run at which point?

Running 300 browser tests on every small commit can slow delivery without adding proportional confidence.

Start with the smallest useful gate.

For implementation, see How to Build a CI/CD Testing Pipeline in 30 Minutes.

9.9 Example automation workflow

For FlowDesk:

Developer merges change

↓

Application deploys to staging

↓

Smoke suite runs automatically

↓

If smoke passes → critical regression starts

↓

If regression passes → release can proceed

↓

Production deploy

↓

Production smoke runs

↓

Nightly full regression monitors broader behavior

9.10 Flaky-test policy

A flaky test passes and fails without a meaningful application change.

Ignoring flakiness creates a predictable problem:

the team stops trusting test failures.

Your automation plan should define what happens when a test becomes unstable.

For example:

Flaky-test definition

A test is considered flaky if it produces inconsistent results across repeated runs without a confirmed product change.

Response

1. failure is reviewed
2. product defect vs automation defect is identified
3. flaky test receives an owner
4. recurring flaky cases are removed from release-gating suites until fixed
5. root cause is documented
6. test returns to the gate after stability is confirmed

What not to do

Don't permanently solve instability with:

Retry three times and ignore it if one passes.

Retries can help distinguish transient problems, but they shouldn't hide broken test design.

Common causes include:

• unstable selectors
• fixed waits
• shared test data
• external dependencies
• environment instability
• test-order dependencies

See How to Fix Flaky Tests for a deeper troubleshooting guide.

9.11 Test maintenance policy

Every automated suite needs an owner.

For FlowDesk:

Primary automation owner: QA Engineer

Developer support: Feature owner

Review cadence: Monthly

Immediate review triggers:

• critical test fails repeatedly
• user flow changes
• selectors require recurring repair
• runtime increases materially
• duplicated tests accumulate

The monthly maintenance review asks:

• Which tests haven't caught meaningful failures?
• Which tests are flaky?
• Which workflows changed?
• Which tests duplicate lower-level coverage?
• Which critical workflows still lack automation?
• Which tests take too long relative to their value?

BugBug's guide to reducing test maintenance overhead goes deeper into this problem.

9.12 Automation metrics

Don't measure automation success only with:

Number of automated tests.

A suite can contain 500 automated tests and still provide little confidence.

Useful metrics include:

Execution success rate

How many tests complete reliably?

Flaky-test rate

What share of failures are inconsistent automation failures rather than confirmed product defects?

Critical-flow coverage

Which important business workflows have repeatable automation?

Execution time

How long does each suite take?

Defects caught before production

Are automated tests finding meaningful problems before users do?

Maintenance effort

How many hours does the team spend repairing and updating automation?

Manual regression time saved

How much repeated manual execution has been removed?

For a wider set of QA measurements, see QA Metrics.

9.13 Example automation targets

Avoid pretending there are universal “good” numbers.

Set targets around your own baseline.

For example:

These values are examples.

The important part is measuring improvement against your current process rather than chasing an arbitrary industry percentage.

9.14 Risks and mitigations

An automation plan should acknowledge what can go wrong.

9.15 Maintenance and review cadence

The plan itself shouldn't remain unchanged forever.

Review it:

• after major product changes
• when the automation tool changes
• when CI/CD changes
• after repeated flaky-test incidents
• when suite runtime becomes problematic
• quarterly or at another regular cadence

An automation plan written before Test #1 won't necessarily describe the best system after Test #300.

Update it as the suite matures.

Download the test plan template

The Word and PDF files contain the nine sections below as fill-in tables. You can also copy the fields straight from this page.

1. Project information

Project / release: Plan owner / Test Manager: Date / version: Related requirements / release link:

2. Objectives and scope

Objectives: In scope: Out of scope: Key product risks:

3. Test approach

Test levels / types: unit, integration, API, functional, regression, E2E, exploratory as applicable Automation approach: Manual / exploratory approach:

4. Environment and test data

Environments: Browsers / devices: Test accounts / fixtures: Data reset / cleanup:

5. Roles and schedule

Test Manager / QA lead: Developers: Product / business owners: Milestones / test window:

6. Entry, exit and suspension criteria

Entry criteria: Exit criteria: Suspension criteria: Resume criteria:

7. Defect workflow and reporting

Issue tracker: Severity / priority rules: Evidence required: Release-blocking alert channel: Retest / closure owner:

8. Risks, metrics and sign-off

Risks / mitigations: KPIs / metrics: Deliverables: Final sign-off:

9. Optional automation plan

Automation candidates: Tools / framework: CI/CD triggers: Smoke / regression suites: Flaky-test policy: Maintenance owner:

Download the Word test plan template

Download the PDF test plan template

Defect workflow and release communication

The plan should define what happens after a test fails. A practical workflow can be:

1. The failing test or tester creates evidence: steps, screenshot/video, logs and environment.
2. The issue is recorded in Jira, Linear or the team's issue tracker and linked to the failed test.
3. Slack or another team channel receives a release-blocking alert when severity requires it.
4. The developer fixes the issue and links the change or pull request back to the defect.
5. QA retests the defect and runs the relevant regression coverage before closure.

The exact tools matter less than making ownership and handoffs explicit.

Common test planning mistakes

Automating before prioritizing

Starting with “let's automate all test cases” usually creates a large maintenance backlog.

Automate around business risk and repetition.

Treating test count as success

More automation doesn't automatically mean better QA.

Ten stable tests protecting critical flows may be more valuable than 200 low-risk cases.

Ignoring test data

Many “flaky automation” problems are actually uncontrolled state problems.

Design the data strategy before suites become large.

Running everything on every commit

Match suite size to feedback needs.

Fast smoke testing belongs early.

Large browser regression can run later or on a schedule.

Leaving maintenance ownership vague

Tests don't maintain themselves.

Write the owner into the plan.

Hiding flaky tests with retries

Retries can provide diagnostic information.

They shouldn't become permanent masking for unreliable tests.

Forgetting manual testing

Automation isn't a replacement for all human testing.

Exploration, usability, new features and subjective behavior can still need manual judgment.

Frequently asked questions about test plan templates

What sections does a software test plan template include?

A complete template covers project information, objectives and scope, test approach, environment and test data, roles and schedule, entry, exit and suspension criteria, defect workflow and reporting, and risks, metrics and sign-off. Teams that automate add an optional automation section with candidates, tools, CI/CD triggers, suites, flaky-test policy and maintenance ownership.

What is an automation test plan?

An automation test plan defines which tests will be automated, which tools and environments will be used, when automation will run, who owns maintenance and how the team will measure whether automated testing is providing useful and reliable coverage.

What should an automation test plan include?

Include objectives, automation scope, candidate tests, tool choices, environments, test data, suite structure, CI/CD triggers, flaky-test policy, maintenance ownership, metrics, ROI assumptions, risks and a review cadence.

What should be automated first?

Start with stable, repeatable and business-critical workflows. Login, checkout, billing and core product actions are common candidates. Avoid automating volatile features simply because they're currently important.

How many tests should be automated?

There isn't a universal target. Automate scenarios where repetition, business risk and manual effort justify the maintenance cost. A smaller reliable suite can provide more value than a large unstable one.

Should automated tests run in CI/CD?

Critical automated tests often provide the most value when connected to CI/CD. Use a small smoke suite for fast feedback and run broader regression at appropriate release or scheduled points rather than automatically running every browser test on every commit.

How should flaky tests be handled?

Investigate flaky tests as automation defects. Identify the root cause, assign an owner and remove repeatedly unstable tests from release gates until they're reliable. Retries shouldn't permanently hide unstable automation.

How do you measure automation success?

Useful measures include critical-flow coverage, execution time, flaky-test rate, maintenance effort, defects found before production and manual regression time saved. Test count alone doesn't measure value.

What is the difference between an automation test plan and a test strategy?

A test strategy defines broader principles for testing. An automation test plan turns those principles into operational decisions for automated testing: scope, tooling, suites, CI/CD triggers, ownership, maintenance and success metrics.