Test Architect Framework Migration Take Home Assignment (2026)

TL;DR

A strong submission diagnoses the current framework, defines decision criteria, proposes an incremental target architecture, and proves one risk-focused path with runnable code. It also includes metrics, rollback triggers, governance, cost boundaries, and an honest list of assumptions that require discovery.

Key Takeaways

• Frame the migration as a business-risk reduction program, not a runner rewrite.
• Baseline the existing suite before selecting a target tool or promising a timeline.
• Use a strangler migration with explicit entry, exit, rollback, and ownership rules.
• Submit one runnable vertical slice that proves configuration, fixtures, assertions, reporting, and CI behavior.
• Measure decision latency, signal quality, maintenance load, and risk coverage instead of raw test count.
• State assumptions and unknowns openly so reviewers can distinguish evidence from estimates.
• Prepare to defend rejected alternatives, coexistence costs, and the conditions that would stop the migration.

A test architect framework migration take home assignment evaluates judgment more than syntax. Your submission should explain why migration is justified, what evidence is still missing, how old and new suites coexist, and how the organization can stop safely if the expected benefits do not appear.

Treat the deliverable as a compact architecture decision package: an executive summary, current-state assessment, options table, target design, phased plan, runnable vertical slice, measurement model, and defense notes. The questions below show what reviewers expect and how to answer without pretending that a short brief contains production-level certainty.

TL;DR

Use the test strategy writing guide to keep risk and scope visible, and use the scalable automation framework guide when you need a deeper component model. The goal is a defensible recommendation, not the largest possible document.

1. Decode the Test Architect Framework Migration Take Home Assignment

Q: What is the interviewer actually testing with this assignment?

The reviewer is testing whether you can turn incomplete organizational evidence into a reversible engineering decision. They want to see architecture, delivery sequencing, economics, and influence alongside code quality. A candidate who names uncertainty and proposes a way to resolve it demonstrates stronger judgment than one who fabricates precision. Your document should therefore make its reasoning trail easy to audit.

Q: What should the first page contain?

Open with the current problem, the recommended direction, the smallest proving slice, and the conditions for proceeding. Include three to five material assumptions, such as browser scope, team language, CI platform, and access to application test hooks. State the next decision date rather than presenting the migration as already approved. This page should let an engineering director understand the bet without reading implementation details.

Q: How do you handle a vague brief with no repository or metrics?

Create an assumption register with columns for statement, confidence, consequence if wrong, and discovery action. For example, mark most failures are synchronization-related as an unverified hypothesis and request thirty days of CI failure samples. Use illustrative numbers only to demonstrate a calculation, label them as examples, and never call them baselines. The absence of data becomes part of your discovery plan instead of an excuse for false certainty.

Q: How broad should the proposed migration be?

Bound it to a product risk slice that exercises the architecture end to end, such as login, order submission, or a privileged account change. Include setup, browser behavior, API validation, artifacts, and CI execution within that slice. Exclude unrelated performance, mobile, and visual coverage unless the brief explicitly makes them migration objectives. A narrow vertical scope reveals integration problems earlier than converting dozens of shallow scripts.

Q: What deliverables make the response feel complete?

Provide a six-to-ten-page decision memo or equivalent concise deck, a small repository, a migration backlog, and a short readme with commands. Add a current-to-target component diagram, an option scorecard, a risk register, and a metrics sheet with definitions. The repository should run one representative happy path and at least one controlled failure. Finish with open questions so the panel knows which decisions require team discovery.

2. Assess the Existing Framework Before Replacing It

Q: What evidence should you collect from the current suite?

Collect runtime distributions, queue delay, rerun behavior, failure categories, ownership, quarantine age, and change frequency by test area. Sample both passing and failing runs because a green suite can still be slow, redundant, or detached from production risk. Trace representative tests from data setup through assertion and cleanup to expose hidden dependencies. Repository history and CI artifacts usually reveal more than a single aggregate pass-rate chart.

Q: How do you classify migration pain accurately?

Separate product defects, test defects, environment faults, data collisions, and infrastructure failures. Then split test defects into locator drift, timing, shared state, unsupported browser behavior, and framework abstraction errors. This taxonomy prevents a new runner from receiving credit for failures caused by unstable environments or unowned data. It also identifies improvements that can begin before any migration.

Q: Which architecture smells deserve attention?

Look for global mutable state, tests that depend on execution order, UI-only setup, fixed sleeps, hard-coded secrets, and assertions buried inside generic helpers. Review whether page objects expose user intent or simply mirror every DOM element. Inspect dependency upgrades, plugin abandonment, custom retry loops, and reporter code that only one person understands. A smell matters when it raises diagnosis cost, blocks parallelism, or hides risk, not merely because it violates a fashionable pattern.

Q: How do you map coverage without counting test cases?

Build a matrix of business capability, failure impact, test layer, environment, and owner. Mark which risks have independent API or contract evidence and which are checked only through long browser journeys. Duplicate scripts may collapse into one risk statement, while a single authorization test may cover a high-impact boundary. The resulting map guides migration priority and exposes dangerous gaps that raw test totals conceal.

Q: What current-state artifact would you present to the panel?

Show a one-page value-stream view from commit to trusted result, annotated with wait time, execution time, common failure sources, and human handoffs. Pair it with a dependency map covering runner, language, browsers, test data, CI, reporting, and external services. Highlight confirmed observations in one color and discovery needs in another. This artifact keeps the conversation focused on flow constraints rather than tool branding.

3. Select a Target Architecture with Explicit Criteria

Q: How should you compare staying, upgrading, and migrating?

Score all three as legitimate options: stabilize the current framework, modernize it in place, or adopt a new stack. Weight criteria before scoring so the preferred tool cannot quietly dictate the rubric. Useful criteria include browser fidelity, team capability, CI fit, debugging evidence, parallel isolation, accessibility support, ecosystem health, and coexistence cost. Include a sensitivity note showing whether a small weight change would reverse the recommendation.

Q: When is Selenium to Playwright a reasonable recommendation?

It is reasonable when the product is browser-focused, the team can support TypeScript or another Playwright language, and native tracing, auto-waiting, context isolation, and network controls address measured constraints. It is not automatically correct for heavy legacy-browser coverage, deep WebDriver Grid investment, or a language standard the organization will not change. Compare the recommendation with the Selenium framework design interview guide to surface incumbent strengths. State the organizational conditions, not just API advantages, that make the switch viable.

Q: What principles should shape the target framework?

Keep tests readable at the domain level, isolate worker state, centralize configuration, and make failures explain themselves through traces, screenshots, logs, and request context. Prefer composition over a deep inheritance tree and expose application-specific workflows through small typed modules. Put assertions near the behavior they prove instead of hiding them in universal helpers. Treat security, accessibility, and cleanup as designed capabilities rather than late plugins.

Q: How much abstraction is appropriate in a take-home solution?

Abstract only the repeated behavior demonstrated by the proving slice. A fixture for worker-scoped identity or an OrderBuilder with explicit defaults can clarify ownership, while a generic BasePage often hides the Playwright Page API without adding meaning. Keep selectors close to the component or workflow that owns them. Reviewers should be able to trace a failing assertion to a business action without navigating five wrapper layers.

Q: How do you show the proposed component boundaries?

Draw a simple dependency direction: specifications depend on domain workflows and fixtures, workflows depend on page or API adapters, and adapters depend on Playwright. Configuration, data builders, and artifact policy support those layers without importing test specifications. Ban reverse dependencies in the narrative and explain where authentication state, environment configuration, and cleanup live. The Playwright TypeScript framework tutorial provides a useful implementation companion, but your diagram should remain specific to the assigned system.

4. Plan an Incremental Migration and Coexistence Period

Q: Why is a strangler migration safer than a rewrite?

A strangler approach replaces coverage by risk slice while the old suite continues to protect unaffected areas. It produces comparative evidence about runtime, signal, and maintenance before the organization commits fully. The team can pause after any tranche without losing all regression coverage. A rewrite delays learning until a large inventory has already been converted.

Q: How do you choose the first migration slice?

Choose a flow that matters to the business, changes often enough to test maintainability, and can be isolated in CI. Avoid both the easiest static page and the most entangled end-to-end journey. The ideal slice includes authentication, test data, a service boundary, and one observable failure while remaining small enough for a two-week experiment. Its purpose is to challenge the target design, not manufacture a quick success.

Q: What phases belong in the roadmap?

Use discovery, proof of concept, production pilot, scaled migration, and retirement as distinct gates. Each phase needs entry evidence, deliverables, an accountable owner, an exit review, and rollback conditions. Put calendar estimates behind discovery findings rather than promising conversion velocity from test count alone. Include enablement and deprecation work because dual-framework operation has a real cost.

Q: How should old and new suites coexist in CI?

Give each suite an explicit purpose and avoid making both mandatory for every change indefinitely. During the pilot, run the new slice as non-blocking until it meets an agreed signal threshold, while the incumbent check remains the gate. After a documented observation window, promote the new check and remove the equivalent old coverage in the same change. Label ownership and artifacts clearly so failures do not create two competing triage queues.

Q: What prevents endless duplicate coverage?

Create a migration ledger that maps each risk to its old test, new evidence, validation status, owner, and retirement pull request. Define a maximum overlap window, with exceptions approved by a named engineering leader. Track retired maintenance surface as well as converted coverage. A test is migrated only when the replacement is trusted and the redundant implementation has been deleted.

5. Build a Runnable Migration Proof of Concept

Q: What should the code sample prove?

The sample should prove installation, configuration, isolation, a user-visible assertion, deterministic dependency control, and diagnostic output. Keep the application scenario small so reviewers can focus on framework decisions. This offline example routes a synthetic application and API through real Playwright APIs, so it does not depend on an external service. Begin with a clean Node.js 22 project and install the current runner.

npm init -y
npm install -D @playwright/test@latest typescript@latest
npx playwright install chromium

Verify the toolchain with npx playwright --version; it should print an installed Playwright version without a module error.

Q: How should the Playwright configuration express migration policy?

Use configuration for execution policy, not application workflows. The following file sets bounded timeouts, retry behavior for CI, trace retention, and one Chromium project while the pilot is narrow. It also prevents an accidental focused test from entering CI. Save it as playwright.config.ts.

import { defineConfig, devices } from '@playwright/test';

export default defineConfig({
  testDir: './tests',
  timeout: 30_000,
  expect: { timeout: 5_000 },
  fullyParallel: true,
  forbidOnly: Boolean(process.env.CI),
  retries: process.env.CI ? 1 : 0,
  workers: process.env.CI ? 2 : undefined,
  reporter: [['list'], ['html', { open: 'never' }]],
  use: {
    trace: 'retain-on-failure',
    screenshot: 'only-on-failure',
    video: 'retain-on-failure',
  },
  projects: [
    { name: 'chromium', use: { ...devices['Desktop Chrome'] } },
  ],
});

Run npx playwright test --list to verify that the TypeScript configuration loads; zero listed tests is acceptable before the next file is added.

Q: How do fixtures demonstrate parallel-safe design?

A worker-scoped fixture can allocate a unique namespace without exposing worker mechanics to each specification. The value below becomes part of the routed API path, making accidental sharing visible. Save this module as src/testing/fixtures.ts, and import it from all pilot tests. A production version could reserve and release real accounts through an API, but that behavior should not be invented in a take-home sample.

import { test as base, expect } from '@playwright/test';

type WorkerFixtures = {
  apiBaseUrl: string;
};

export const test = base.extend<{}, WorkerFixtures>({
  apiBaseUrl: [
    async ({}, use, workerInfo) => {
      await use(`https://migration.local/api/worker-${workerInfo.workerIndex}`);
    },
    { scope: 'worker' },
  ],
});

export { expect };

Check the fixture at compile time with npx tsc --noEmit --moduleResolution bundler --module preserve --target es2022 src/testing/fixtures.ts.

Q: What does a representative migrated test look like?

The specification below proves a user action, API request, deterministic response, and accessible result. It imports the fixture defined above and uses Playwright's public routing, role-locator, and web-assertion APIs. Save it as tests/migration/status.spec.ts; no application server is required because the document and API are both fulfilled by routes. The worker namespace is asserted at the UI boundary, so the fixture is not decorative.

import { test, expect } from '../../src/testing/fixtures';

test('shows the isolated migration status', async ({ page, apiBaseUrl }) => {
  await page.route('https://migration.local/', async route => {
    await route.fulfill({
      contentType: 'text/html',
      body: `
        <button>Load migration status</button>
        <output aria-label="Migration status"></output>
        <script>
          document.querySelector('button').addEventListener('click', async () => {
            const response = await fetch('${apiBaseUrl}/status');
            const result = await response.json();
            document.querySelector('output').textContent = result.status;
          });
        </script>
      `,
    });
  });

  await page.route(`${apiBaseUrl}/status`, async route => {
    await route.fulfill({ status: 200, json: { status: 'pilot-ready' } });
  });

  await page.goto('https://migration.local/');
  await page.getByRole('button', { name: 'Load migration status' }).click();
  await expect(page.getByLabel('Migration status')).toHaveText('pilot-ready');
});

Verify the complete slice with npx playwright test tests/migration/status.spec.ts --project=chromium; the result should report one passed test.

Q: How do you prove the failure artifacts are useful?

Temporarily change the expected text to migration-complete and run npx playwright test tests/migration/status.spec.ts --project=chromium. Confirm that the report identifies the locator, expected value, received value, and retained trace under test-results. Restore pilot-ready, rerun the same command, and expect a pass. This controlled fault demonstrates observability more convincingly than listing reporter features.

6. Design CI Gates, Diagnostics, and Reliability Controls

Q: What should the first CI workflow do?

The pilot workflow should install locked dependencies, install only the required browser, run the migrated slice, and retain reports even when tests fail. Avoid adding shards until measured runtime justifies the coordination cost. Save the workflow below as .github/workflows/migration-pilot.yml in the sample repository. It uses current official GitHub actions and the same npm script exercised locally.

name: migration-pilot

on:
  pull_request:
  workflow_dispatch:

jobs:
  playwright:
    runs-on: ubuntu-latest
    timeout-minutes: 15
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 22
          cache: npm
      - run: npm ci
      - run: npx playwright install --with-deps chromium
      - run: npx playwright test tests/migration/status.spec.ts --project=chromium
      - uses: actions/upload-artifact@v4
        if: always()
        with:
          name: playwright-report
          path: playwright-report/
          retention-days: 14

Validate the executable test command locally with CI=1 npx playwright test tests/migration/status.spec.ts --project=chromium; GitHub will validate workflow syntax when the branch opens a pull request.

Q: When should the migrated suite become a required check?

Promote it only after the team observes enough representative runs to understand false failures, runtime variation, and artifact usefulness. Define the observation window by change volume and risk exposure, not an arbitrary promise that five green runs are sufficient. Require ownership, a triage service level, and a documented bypass process before blocking merges. The incumbent check can be retired after the new slice covers the mapped risk and survives the agreed review.

Q: How should retries be used during migration?

One CI retry can collect evidence about non-determinism, but a retry must not convert an unstable check into trusted evidence. Report first-attempt failures separately from final outcomes and attach the trace from the failing attempt. Create a defect or quarantine decision when a recurring cause crosses the team's threshold. The flaky test quarantine guide shows how to preserve visibility without blocking every change.

Q: Which artifacts matter most for browser failures?

Retain the Playwright trace, failure screenshot, relevant console output, and the network facts needed to identify the failed boundary. Video is useful for motion or timing context but rarely replaces the trace. Redact credentials, tokens, customer fields, and sensitive response bodies before uploading artifacts. For concrete trace policy options, consult Playwright trace on retry.

Q: How do you distinguish a framework failure from a product failure in CI?

Define evidence rules for each category and encode the category in triage records. A product failure has a reproducible unmet behavior with valid setup, while a framework failure originates in the harness, selector contract, fixture, reporter, or runner integration. Environment and data faults remain separate because assigning them to the framework distorts migration results. Sample classifications should be reviewed by humans until the taxonomy reaches acceptable consistency.

7. Control Test Data, Environments, and External Dependencies

Q: What test data model supports parallel migration?

Prefer API-created, worker-owned records with unique identifiers and bounded cleanup. Define immutable reference data separately from records a test may mutate. Record the owner, lifetime, and deletion behavior for every created entity so reruns do not collide with abandoned state. The test data strategy guide can help turn this principle into an environment-specific plan.

Q: Should login happen through the UI in every test?

No, authenticate through a supported API or setup flow when the login screen is not the risk under test. Store browser state per role only if reuse does not leak identity or mutable session assumptions across workers. Keep a small, dedicated set of UI login checks for authentication behavior itself. This split shortens unrelated scenarios while preserving explicit coverage of the sign-in surface.

Q: How should the framework manage environment configuration?

Read non-secret settings from validated environment variables or a typed configuration module, and fail early when required values are absent. Never commit credentials or print access tokens into logs and traces. Keep environment names out of test logic so the same specification can run against an approved target without branching assertions. Document which settings are safe defaults and which must be supplied by CI.

Q: When should external services be mocked?

Mock at boundaries when the test objective is deterministic client behavior under a known response, such as a payment decline or delayed recommendation. Keep separate contract or integration checks that prove the mock still matches the provider interface. Do not route every dependency by default, because an entirely simulated journey can pass while production integration is broken. The OpenAPI contract testing with Playwright TypeScript guide shows one way to protect that boundary.

Q: How do you prevent test hooks from becoming a security risk?

Require authentication and authorization for setup endpoints, restrict them to approved environments, and log their use. Design commands around domain-safe actions rather than arbitrary database execution. Threat-model whether a test credential can reach production or access another tenant, then make those paths impossible through network and identity controls. Include test infrastructure in security review instead of assuming non-production means harmless.

8. Define Metrics, Governance, and Rollback Decisions

Q: Which metrics show whether migration is working?

Measure median and tail feedback time, queue delay, first-attempt signal rate, diagnosis time, maintenance effort, and mapped risk coverage. Track adoption and decommissioning as delivery metrics, but do not confuse them with customer protection. Segment results by suite and failure category so averages do not hide a bad risk area. Every metric needs a source, owner, collection cadence, and baseline period.

Q: Why is converted test count a poor success measure?

Tests differ in risk, depth, runtime, and maintenance cost, so a conversion total rewards easy duplication. One migrated authorization boundary may matter more than fifty static rendering checks. Counts also encourage retaining low-value scripts merely to show progress. Use the migration ledger to report risks transferred and old maintenance surface retired.

Q: What guardrails should accompany faster feedback?

Protect critical risk coverage, accessibility checks, browser commitments, security boundaries, and artifact privacy while optimizing runtime. A change that cuts execution time by omitting a required browser is a scope reduction, not a framework improvement. Review false-negative evidence through escaped defects or targeted audits. Pair each desired outcome with a guardrail that detects harmful shortcuts.

Q: What rollback triggers belong in the proposal?

Specify triggers such as sustained signal degradation, an unresolved security issue, inability to run a critical browser, or pilot costs beyond the approved boundary. A trigger should name who evaluates it, what evidence is examined, and whether the response is pause, narrow, or revert. Rollback means restoring the prior gate for the affected risk, not deleting all learning or code immediately. This precision keeps the stop decision operational rather than theatrical.

Q: Who governs framework changes after launch?

Assign a small maintainer group with published review criteria, response expectations, and a succession plan. Product teams should own their tests and risk assertions, while maintainers own shared execution policy and extension points. Use lightweight architecture decisions for new dependencies, global fixtures, and exceptions. Quarterly or release-based reviews should remove obsolete helpers and revisit whether the framework still serves its declared outcomes.

9. Package and Defend the Take-Home Submission

Q: How should you structure the final presentation?

Tell a decision story: problem, evidence, alternatives, recommendation, proving slice, rollout, measurement, and asks. Spend less presentation time touring folders and more time explaining trade-offs and stop conditions. Put detailed code and inventories in appendices so the main narrative remains legible. End with the three decisions you would seek from the panel if this were a real architecture review.

Q: What assumptions should you say aloud?

Call out the assumptions with the highest decision impact, especially team language, supported browsers, CI constraints, data access, and regulatory limits. Explain how each will be validated during discovery and what recommendation changes if it is false. Do not read every minor assumption from a spreadsheet. The panel is looking for control of uncertainty, not performative completeness.

Q: How do you discuss migration cost without inventing a budget?

Describe cost drivers: framework foundation, test conversion complexity, dual-run compute, training, triage, data tooling, and decommissioning. Provide a range only when the brief supplies enough inventory and productivity evidence to support one. Otherwise, propose a time-boxed pilot that measures effort per risk slice and exposes exceptional cases. Separate recurring platform cost from one-time migration labor.

Q: What belongs in the repository README?

Document prerequisites, install commands, test commands, expected output, folder responsibilities, CI behavior, and known limitations. Include why the example uses routing and which production integrations remain deliberately unproven. Add a troubleshooting note for missing browser binaries and artifact locations after failure. A reviewer should reach the first trustworthy result without guessing at local setup.

Q: How can you rehearse the defense effectively?

Ask a peer to challenge the recommendation from finance, security, developer productivity, and incumbent-framework perspectives. Answer with the scorecard and evidence rather than repeating tool features. Practice explaining one rejected alternative and one scenario that would reverse your decision. Use the QA interview practice workspace to tighten any answer that becomes vague under follow-up.

10. Test Architect Framework Migration Take Home Assignment Interview Questions and Answers

Q: Why not repair the current framework instead of migrating?

Repair remains an option in the scorecard and may win if failures come from data, environments, or poor test design rather than runner limitations. The pilot should compare the cost and signal improvement of a focused incumbent fix with the proposed target slice. Migration is justified only when structural constraints and expected future needs outweigh coexistence, learning, and conversion costs. I would change my recommendation if the repair experiment removes the measured bottleneck at lower total cost.

Q: How would you win adoption from teams that prefer the incumbent stack?

Invite representatives to define criteria, choose the pilot risk, and review failure artifacts before prescribing training. Provide paired examples and office hours around real product work instead of generic tool demonstrations. Publish the support boundary so early adopters know where to get help and what remains unsupported. Adoption should follow demonstrated usefulness, while approved exceptions preserve delivery where migration has no current value.

Q: What would you do if the pilot is faster but less reliable?

Keep it non-blocking and analyze first-attempt failures by cause. Determine whether the loss comes from immature fixtures, application testability, infrastructure, or an actual target-tool limitation. Set a remediation window and a signal threshold that must be met before promotion. If reliability remains below the guardrail, pause expansion and restore the incumbent check as the authoritative gate.

Q: How do you keep architecture standards from slowing feature teams?

Standardize only high-leverage boundaries such as configuration, identity, artifacts, cleanup, and dependency approval. Leave domain workflows and risk assertions close to the product teams that understand them. Supply paved examples, lint rules where they are unambiguous, and short review service levels. An exception process with an expiry date is safer than forcing teams into unsuitable abstractions.

Q: What would make you abandon the proposed Playwright direction?

I would reconsider if discovery revealed a mandatory browser or platform outside Playwright's support, an immovable language constraint, unacceptable security behavior, or a stronger in-place repair outcome. I would also stop if the pilot could not meet signal and diagnosis guardrails within the agreed investment. Tool preference is not a reason to continue after decision criteria fail. The written rollback plan makes that reversal responsible rather than embarrassing.

How Interviewers Grade Your Answers

Reviewers usually score six dimensions. Problem framing asks whether you connect technical symptoms to delivery and product risk. Architecture checks boundaries, dependency direction, testability, security, and operational fit. Migration planning examines sequencing, coexistence, decommissioning, ownership, and reversibility.

Evidence quality distinguishes observed facts from assumptions and looks for runnable proof. Leadership covers stakeholder alignment, enablement, exception handling, and the ability to say no to low-value conversion. Communication rewards a concise recommendation whose trade-offs remain understandable to executives and implementers.

A practical self-score uses 0 for missing, 1 for asserted, 2 for reasoned, and 3 for supported by an artifact or verification result. Apply it to each dimension, then strengthen the lowest category before polishing slides. A beautiful repository cannot compensate for an unjustified migration, and a polished strategy cannot compensate for code that does not run.

Common Mistakes

• Choosing Playwright, Cypress, or Selenium before defining decision criteria.
• Treating every red CI result as framework flakiness without classifying the cause.
• Inventing baseline percentages, productivity savings, or migration dates that the brief cannot support.
• Converting tests file by file instead of transferring explicit product risks.
• Running old and new suites forever without an overlap limit or retirement owner.
• Building a universal base page, utility library, and custom assertion layer before one vertical slice needs them.
• Hiding all Playwright APIs behind wrappers that make documentation and traces harder to use.
• Showing code that depends on missing fixtures, private services, or undefined environment variables.
• Claiming parallel safety while tests share accounts, records, downloads, or cleanup state.
• Using retries to produce green status without tracking first-attempt failures.
• Uploading traces that may expose tokens, personal data, or confidential payloads.
• Measuring progress by converted script count while old coverage remains in place.
• Omitting security, accessibility, and test-data design from the architecture discussion.
• Presenting a single irreversible roadmap with no stop criteria or incumbent repair option.
• Spending the review on folder structure instead of trade-offs, evidence, and decisions.

Conclusion

A credible test architect framework migration take home assignment makes the migration smaller, safer, and easier to judge. Diagnose before selecting, compare real alternatives, prove one vertical slice with runnable code, and move each risk through explicit coexistence and retirement gates.

Before submitting, run every command from a clean checkout, inspect a deliberately failed test, verify all assumptions are labeled, and rehearse what evidence would change your recommendation. If you want feedback on how the case study supports your candidacy, upload the tailored resume and role description in the QAJobFit resume workspace.

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