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Test Plan Template: A Mobile Specific Template with Examples

Test Plan Template: A Mobile Specific Template with Examples

A test plan template documents what to test, how, on which devices, and by when.
Author:
Posted on:
May 15, 2026
Read time:
12 Minutes

A test plan is a document that tells your team what's being tested, how it's being tested, on which devices, by whom, and by when. It's the agreement between QA, development, and product management about what "tested" means before a release ships.

A test plan template is the reusable format that standardizes this across sprints. Instead of recreating the plan from scratch every release, the template gives you a fill-in structure that covers everything: scope, testing types, device matrix, entry and exit criteria, schedule, and risks.

Most test plan templates online are generic software documents adapted from the IEEE 829 standard. They work for web apps. They miss the fields mobile teams need: which devices are in scope, how OEM-specific behavior is covered, whether tests run on emulators or real hardware, and how the plan handles cross-platform (Android + iOS) coverage.

This guide gives you a mobile-specific test plan template with every field explained and a filled-in example for a food delivery app.

The 10 fields a mobile test plan needs

1. Project overview

One paragraph. What app, which release, what's new. Keep it short enough that someone reading the plan for the first time understands the context in 15 seconds.

2. Scope (in and out)

What's being tested and what's not. On mobile, this needs to include which platforms (Android, iOS, or both), which OS versions are in scope, and which features are explicitly excluded from this test cycle.

3. Testing types

Which types of testing are included in this plan. Not every type runs every sprint. Specify which ones apply to this release: functional, regression, smoke, performance, exploratory, compatibility, accessibility, security.

4. Device matrix

The specific devices and OS versions tests will run on. This is the field generic templates miss entirely. On mobile, your device matrix determines whether you'll catch the bugs your users actually face. Base it on user analytics: if 35% of your users are on Samsung devices, Samsung needs to be in the matrix. See our test automation strategy for how to build a device matrix from analytics data.

5. Test environment

Where tests run. Emulators for development? Real devices for pre-release? Cloud platform for the full matrix? Specify the environment per testing type. Smoke tests might run on emulators in CI. Regression might run on real devices via Drizz. Exploratory sessions happen on physical devices held by QA engineers.

6. Entry and exit criteria

Entry criteria: What must be true before testing starts. The build compiles without errors. Smoke tests pass. The test environment is stable. Test data is prepared.

Exit criteria: What must be true before the release ships. All critical and high-priority test cases pass. No open P0 or P1 bugs. Regression suite passes at 95%+ on the device matrix. Crash-free rate above 99.5% in beta.

7. Test cases and test case templates

Reference where the individual test cases live (test management tool, spreadsheet, Drizz platform). The test plan doesn't list every test case. It references them and specifies how many exist per testing type.

8. Schedule and sprint cadence

When each testing type runs. Map to your sprint cadence: smoke and regression on every build, performance and compatibility nightly, exploratory and accessibility before release.

9. Team and responsibilities

Who owns what. QA lead owns the plan. Automation engineer maintains the regression suite. Manual QA runs exploratory sessions. Developer fixes bugs. Product manager reviews exit criteria.

10. Risks and mitigation

What could go wrong and what you'll do about it. On mobile, common risks: new OS version drops mid-sprint (mitigation: add the new OS to the device matrix and run a compatibility check), third-party SDK update changes behavior (mitigation: sanity test the affected flow immediately), and test environment instability (mitigation: fallback to local physical devices).

Filled-in example: food delivery app, v4.2 release

Here's the template filled in for a real scenario.

Project overview FoodDash v4.2. New: Express Checkout, promo code revamp, tracking redesign. Fixes: payment timeout, cart sync. Release: May 30, 2026.
Scope (in) Express Checkout, promo codes, order tracking, payment retry, cart sync. Android + iOS.
Scope (out) Admin dashboard, restaurant partner app, push notification delivery, analytics events.
Testing types Functional (auto), regression (auto), smoke (auto/every build), sanity (manual/per fix), exploratory (manual/2 sessions), performance (auto/nightly), compatibility (auto/device matrix), accessibility (manual/font scaling + VoiceOver).
Device matrix Samsung Galaxy A14 (Android 13, One UI 5)
Pixel 8 (Android 15, stock)
Xiaomi Redmi Note 12 (Android 14, HyperOS)
iPhone 15 (iOS 18)
iPhone SE 3rd gen (iOS 17)
Entry criteria Build compiles. Smoke passes on Pixel 8. Staging API stable. 5 test accounts provisioned.
Exit criteria All P0/P1 closed. Regression 95%+ on matrix. No crash in checkout/payment. Cold start <2.5s on Galaxy A14. Crash-free >99.5% in TestFlight.
Schedule Day 1-2: smoke + sanity. Day 3: full regression. Day 4: performance. Day 5: exploratory. Day 6: accessibility. Day 7: go/no-go.
Risks 1. iOS beta drops mid-cycle β†’ add to matrix Day 4.
2. Payment SDK update β†’ sanity test immediately.
3. Staging instability β†’ fallback to local mock server.

Test plan vs test case vs test strategy

Test plan (this document): What are we testing for this specific release? Which devices, which types, which schedule, what are the exit criteria? One test plan per release cycle.

Test case template: How is each individual test documented? The format for steps, test data, expected results. Many test cases per test plan.

Test automation strategy: How does the team approach testing across all releases? What's automated vs manual? Which tools? What's the testing pyramid? One strategy document, updated quarterly.

The strategy sets the approach. The plan applies it to a specific release. The test cases are the individual tests inside the plan.

Where Drizz fits in the test plan

In a traditional test plan, the "test environment" field lists emulators and the "test cases" field references a spreadsheet or test management tool. With Drizz, three things change:

Device matrix becomes real. Instead of listing devices you'll manually test on (limited by how many phones your QA lab has), you list the real devices in the Drizz cloud. Samsung Galaxy A14, Pixel 8, Xiaomi Redmi Note 12, iPhone 15, iPhone SE. All run the same tests in parallel.

Test cases are plain English. Instead of linking to a spreadsheet with selector-based steps, the test plan references Drizz test suites written in plain English: "Tap 'Express Checkout,' enter payment details, validate 'Order Confirmed' is visible." Vision AI executes them. Self-healing handles UI changes. The popup agent handles OEM dialogs.

Exit criteria are measurable. "Regression suite passes at 95%+ on the device matrix" is verifiable from the Drizz dashboard. No ambiguity. Teams go from 15 tests per month to 200, with flakiness at ~5%, which means the exit criteria are reliably achievable.

FAQ

What is a test plan template?

It's a reusable document format that standardizes how testing is planned for each release. It covers scope, testing types, device matrix, schedule, entry/exit criteria, responsibilities, and risks so nothing is missed between sprints.

What's the difference between a test plan and a test case?

A test plan is a document for the entire release (what's tested, by whom, on which devices, by when). A test case is one specific test (steps, data, expected result). A test plan contains or references many test cases.

What fields should a mobile test plan include that web test plans don't?

Device matrix (specific models and OS versions), OEM skin coverage (Samsung One UI, Xiaomi HyperOS), emulator vs real device split per testing type, cross-platform scope (Android + iOS), and entry criteria that include device provisioning.

How often should a test plan be updated?

Create a new test plan (or update the existing one) for every release cycle or major sprint. The device matrix should be reviewed quarterly based on user analytics. The testing types and schedule may vary by release scope.

Who is responsible for writing the test plan?

The QA lead or test manager owns the document. Input comes from developers (what changed), product managers (what's in scope), and automation engineers (what's automated vs manual). The plan is reviewed and approved before testing starts.

Can I use this template for agile sprints?

Yes. Trim it to the fields that change each sprint (scope, schedule, risks) and keep the stable fields (device matrix, testing types, team) as defaults that carry forward. A lean version of this template works as a one-page sprint test plan.

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