BootcampCapstone · Deliverable 1

Risk-based test plan for the checkout release

Builds on Topic 5.

What you'll produce

A one-to-two-page risk-based test plan for the ShopSphere checkout-and-promo-code release — the strategy document a QA lead signs off before anyone starts testing. It nails down scope (what's in, what's out), which testing types you'll apply, the target environments/devices/browsers, the entry and exit criteria that gate the release, and a risk-prioritized list of what to test first. This is the deliverable that proves you can "shift left" (Topic 3) and turn a vague spec into a defensible plan: it shows you understand that you can't test everything (Topic 5), so you prioritize by risk and write down — before testing starts — exactly what "ready to release" means. It's the foundation every later capstone artifact (test cases, executed runs, bug reports, sign-off) builds on, and it's the single most common QA work sample a hiring manager will ask to see.

Instructions

  1. Read the spec like a tester, not a reader. From the ShopSphere brief, list the four things this release actually changes: redesigned checkout, new promo-code field, guest checkout, and Apple Pay. For each, write one sentence on what could go wrong with money or order completion — that's your risk radar.
  2. Define scope explicitly — both halves. Write an In scope list (the features and flows you will test) and an Out of scope list (what you're deliberately not testing, e.g., the existing product-catalog pages, account-settings, the payment processor's own internals). The out-of-scope list is what separates a real plan from a wish list; it protects your two-week timeline.
  3. Map testing types to the feature (Topic 4). State which types you'll apply and where: functional (does promo-code apply correctly?), regression (did the checkout redesign break the existing cart?), smoke (does each daily build even reach the payment step?), plus the relevant non-functional types — compatibility (browsers/devices/OS), usability (the redesigned flow), and a note on security/performance if they're owned by specialists. Don't list types you won't actually run.
  4. Pin down the test environment matrix. Name the staging environment (where daily builds land), and list the specific browsers, devices, and OS versions you'll cover — with a deliberate priority order, not "all of them." Tie the choice to where ShopSphere's real traffic is (mobile-heavy retail) and to the features (Apple Pay forces Safari/iOS into scope).
  5. Write entry and exit criteria as checkable gates. Entry criteria = what must be true before you start testing a build (spec frozen, build deployed to staging, smoke test passes). Exit criteria = the bar a build must clear to be recommended for release (e.g., 100% of priority-1 cases pass, zero open Critical/High defects, regression suite green). These must be binary — a release manager should be able to check each one off.
  6. Build the risk-prioritized "what to test first" table. For each feature area, rate Likelihood (how likely it is to fail) and Impact (how bad if it does), derive a Risk level, and assign a test priority (P1–P3). Anything touching money, order placement, or a brand-new code path is high impact — promo-code math and payment go first; cosmetic copy goes last. This table is the heart of the plan: it's why you test in the order you test.
  7. Add a brief assumptions/dependencies & sign-off line. Note what you're depending on (stable staging, test promo codes seeded, sandbox Apple Pay account) and leave a line for the QA lead's sign-off. State your estimated effort against the two-week window so the plan is honest about time.
  8. Keep it to one-to-two pages. A test plan no one reads is worthless. Tight scope, scannable tables, no filler.

Worked example

(Uses the shared Capstone fixtures: build 2.4.0-rc3, staging web at https://staging.shopsphere.com, Jira project SHOP, and the canonical promo codes. Every later deliverable references the same set.)

Test Plan — ShopSphere Checkout & Promo-Code Release (Sprint 14 / build 2.4.0-rc3) Author: QA Engineer · Date: 2026-06-15 · Target release: end of Sprint 14, release-decision Jun 16 2026 · Status: Draft for QA-lead sign-off

1. Feature under test. ShopSphere's redesigned checkout introduces four changes: (a) a promo-code field that applies percentage and fixed-amount discounts to the order total, (b) guest checkout (buy without an account), (c) Apple Pay as an express payment method, and (d) a visual redesign of the existing cart-to-confirmation flow. All four touch order placement or money, so all four carry release risk.

2. Scope.

In scopeOut of scope
Promo-code field: valid/invalid/expired codes, discount math, stacking rules, removalProduct-catalog & search pages (unchanged this release)
Cart → checkout → payment → order-confirmation happy pathAccount creation, login, password reset (no changes)
Guest checkout end-to-endThe Stripe/Apple payment processor's internal settlement (third-party)
Apple Pay express checkout (sandbox)Email-receipt copy/design (owned by marketing this sprint)
Regression of existing credit-card checkoutLoad/performance at scale (owned by the perf specialist, separate run)
Compatibility across priority browsers/devicesAdmin-side order-management dashboard

3. Testing types applied (Topic 4).

  • Smoke — run first on every daily staging build: can a user reach the payment step and place one order? If smoke fails, deeper testing is blocked.
  • Functional — the core: promo-code application, discount math, guest checkout, Apple Pay, order confirmation, against the spec.
  • Regression — re-test the existing credit-card checkout to confirm the redesign didn't break it (highest-volume real path).
  • Negative — invalid/expired/empty promo codes, declined card, abandoned payment, back-button mid-payment.
  • Compatibility — across the device/browser matrix below.
  • Usability — a light pass on the redesigned flow (clear errors, sensible tab order).
  • Not run by me this release: deep performance and security/penetration testing — flagged as owned by specialists; I'll note any obvious findings but they're out of my scope.

4. Test environment matrix. All testing on the staging environment (staging.shopsphere.com), which receives daily builds.

PriorityBrowser / DeviceOSWhy
P1Safari — iPhone 14/15iOS 17Apple Pay requires it; ~55% of ShopSphere traffic is iOS mobile
P1Chrome — desktopWindows 11Largest desktop share; primary card-checkout path
P2Chrome — Android (Pixel 7)Android 14Second-largest mobile segment
P2Safari — desktopmacOS SonomaCatches the Chrome-vs-Safari rendering bugs from Topic 4
P3Edge — desktopWindows 11Long-tail coverage if time permits

5. Entry criteria (must be true before I start testing a build):

  • Requirements spec and Figma mockups are frozen (no mid-sprint scope changes without re-review).
  • The build is deployed to staging and the smoke test passes (reach payment + place one order).
  • Test data is seeded — the canonical promo codes from the Capstone fixtures: the active codes (SAVE20, WELCOME15, BIG50, SUMMER20), the expired SUMMER19, plus a sandbox Apple Pay account and test credit cards.
  • TestRail suite and Jira project are set up for this release.

6. Exit criteria (the bar to recommend release — all must be true):

  • 100% of P1 test cases executed and passing.
  • ≥ 95% of P2 test cases passing; every failure has a logged, triaged Jira ticket.
  • Zero open Critical or High defects (Critical = money charged incorrectly, order lost, or checkout blocked).
  • Regression suite on existing card-checkout is green.
  • Apple Pay verified end-to-end on at least one physical iOS device.
  • Any remaining Medium/Low defects are documented with a sign-off note on residual risk (feeds Deliverable 5).

7. Risk-prioritized "what to test first" (the heart of the plan).

#Area to testLikelihood of failureImpact if it failsRiskTest priority
1Promo-code discount math (% and fixed, on totals/tax/shipping)High (brand-new, money calculation)Critical (wrong amount charged → refunds, trust loss)HighP1 — first
2Apple Pay payment completes & order is createdMedium (new integration, sandbox quirks)Critical (payment taken, no order — or order, no payment)HighP1
3Guest checkout end-to-end places a real orderMedium (new path, no account context)Critical (lost sale / orphaned order)HighP1
4Promo-code negative cases (expired, invalid, empty, stacking abuse)High (lots of bad input possible)High (free money / crashes / blocked checkout)HighP1
5Regression of existing credit-card checkoutMedium (redesign touched shared UI)Critical (breaks the path 80% of revenue uses)HighP1
6Order-confirmation page & totals match what was chargedMediumHigh (support tickets, disputes)MediumP2
7Compatibility rendering across the device matrixMedium (Safari vs. Chrome)Medium (some users can't complete)MediumP2
8Usability of redesigned flow (error clarity, tab order)MediumLow–MediumLowP3 — last
9Cosmetic copy/spacing tweaks on confirmation pageLowLowLowP3

Rationale: anything that touches money or order completion on a brand-new code path is High risk and goes first (rows 1–5). I will not spend the first day on copy alignment (row 9) while promo-code math is unverified — that's the classic mistake Topic 5 warns against.

8. Assumptions, dependencies & sign-off.

  • Assumes: staging stays stable and gets a fresh build daily; test promo codes and a sandbox Apple Pay account are provisioned by Day 1; at least one physical iOS device is available.
  • Depends on: the spec staying frozen, and dev triaging Critical/High bugs within 24h to keep the two-week window viable.
  • Estimated effort: ~6 testing days across the two-week sprint (build smoke + execute P1/P2 + regression + 1 buffer day for re-test). If P1 slips, P3 compatibility/usability is the first to be cut — stated up front, not discovered late.
  • QA-lead sign-off: ☐ Approved ☐ Approved with changes ☐ Rejected — _______________

Rubric

The app's AI scores the learner's submission against these criteria and gives feedback. Levels: Needs work (1) / Solid (2) / Excellent (3). Passing = every criterion at Solid or above.

  • Scope (in and out) — 1: only lists what to test, no out-of-scope · 2: clear in-scope and out-of-scope lists · 3: scope is specific to this release, and the out-of-scope items are justified and protect the timeline.
  • Testing types mapped to the feature (Topic 4) — 1: types named generically or not at all · 2: relevant types listed and tied to checkout/promo · 3: each type is mapped to a concrete part of the flow, and types not being run are explicitly flagged with an owner.
  • Environment / device / browser matrix — 1: vague ("test on browsers") · 2: names specific environments and devices · 3: prioritized matrix justified by real traffic and feature constraints (e.g., Apple Pay forces iOS/Safari).
  • Entry and exit criteria — 1: missing or unmeasurable · 2: present and mostly checkable · 3: binary, gate-able criteria a release manager could tick off, including a defect-severity bar.
  • Risk-based prioritization — 1: flat list, no risk reasoning · 2: prioritizes some areas · 3: a likelihood × impact → risk → P1–P3 table where money/order-completion and new code paths correctly rise to the top, with rationale.
  • Professional craft & honesty about limits — 1: bloated, generic, or pretends full coverage is possible · 2: clear, scannable, one-to-two pages · 3: tight and portfolio-ready, names assumptions/dependencies, and states what gets cut first if time runs short.