Locator Intelligence Lab · Real proof sequence

See A Real Assessment Become A Real Fix

We intentionally created a framework containing poor locator practices and then allowed QA ALIGN to assess, repair, validate, and reassess the framework.

Beginning71/100WARN
Reassessment80/100GO
Real brittle locator baseline evidence showing a 71 out of 100 WARN assessment

Experienced improving systems for

CatalyteEmory UniversityCommScopeCentralLogicZywaveRamsey SolutionsMetrcSol Systems
01

Failure

A scattered locator path creates false-failure risk.

02

Assessment

The framework assessment names locator governance as the highest-risk issue.

03

Engineer plan

A line-level fix card defines the smallest safe correction and verification command.

04

Agent repair

Locator Intelligence promotes a user-facing locator contract.

05

Verification

The repaired framework is independently assessed against the same risk model.

06

Reassessment

Locator governance leaves the top findings and the release moves from WARN to GO.

01 · Assessment report

The assessment identifies locator governance as the highest-risk issue.

The archived baseline report records a 71/100 trust score and a WARN release decision. Its top finding points to locator strategy that exists, but is not consistently governed.

Open the real assessment report →
Baseline QA ALIGN assessment report showing locator governance risk and WARN decision

02 · Engineer fix plan

QA ALIGN generated a deterministic remediation plan.

The internal plan identifies the affected line, proposes a user-facing role locator, credits the Intelligent Locator Agent, and defines the narrow verification command before reassessment.

Beforeawait page.goto('.../loginpagePractise/'); Proposed contractpage.getByRole('button', { name: /sign in/i })
Open the real engineer plan →
Real engineer fix plan for the locator governance finding

03 · Agent execution

Locator Intelligence Agent

The lab exposes the agent contract, not the proprietary implementation. A real finding enters; a validated locator contract exits.

01

Discovery

Read the observed locator finding and affected source target.

02

Classification

Identify structural reach-in and missing user-facing locator governance.

03

Promotion

Propose a role-and-name locator contract with a governed owner.

04

Validation

Run the narrow locator contract check, then reassess the framework.

InputLocator governance findingtests/UIBasics.spec.js:41
OutputUser-facing locator contractgetByRole('button', { name: /sign in/i })

04 · Independent validation

The repaired framework was independently validated.

The after-assessment no longer lists locator governance as a top finding. The release becomes eligible for GO, while the next scale-hardening risk remains visible.

Open the locator validation report →
BeforeLocator governance finding present

Accessibility-first strategy exists but is not enforced across all tests.

71/100 · WARN
AfterLocator governance finding removed

ARIA-first locator contracts are in place; scale hardening becomes the next risk.

80/100 · GO

05 · Reassessment

The second report records the earned improvement.

Trust moves by nine points. The release decision moves from WARN to GO. The report does not claim perfection; it promotes scale hardening as the next governed risk.

Open the real reassessment report →
After-remediation QA ALIGN assessment report showing 80 out of 100 and GO

06 · Evidence package

Inspect the chain of custody.

Every card opens a real artifact or a source-cited manifest derived from the archived assessment pair.

Assessment first

Find The Locator Risk Blocking Your Framework

Send QA ALIGN one failing or unstable automation flow. We will identify whether locator governance is the highest-risk issue, what evidence supports that finding, and what it would cost to fix.

Best fit for teams with brittle selectors, flaky Playwright or Selenium tests, page object drift, or failures that reappear after UI changes.