Evaluation & Governance Overview
Plan an evidence-led ContextQA evaluation with shared baselines, decision gates, ownership, portability checks, and release-quality proof.
Quick answer
A useful test-automation evaluation asks whether a candidate improves release decisions on your application, with your workflows and constraints. Define the baseline, run the same representative scenarios, capture failures and operating effort, and agree on stop conditions before the pilot begins. Use the guides in this section to produce a decision packet that an engineering, QA, security, or procurement reviewer can inspect.
What this section is for
Feature matrices are easy to fill out and hard to trust. Two tools may both claim cross-browser execution, CI integration, change-aware selection, and AI-assisted maintenance while placing very different work on your team.
These guides turn an evaluation into an observable system:
The goal is not to make every result look favorable. The goal is to make the decision explainable.
Choose the guide that matches your decision
Which vendor should earn a hands-on pilot?
Common-task evidence matrix and pilot qualification decision
What data and access evidence do security reviewers need?
Evidence request, observed controls, and exception register
Should we run a structured ContextQA pilot?
Baseline, scenario set, weekly ledger, disqualifiers, and decision memo
Can an AI-assisted PR gate produce reviewable release evidence?
Intent-to-test chain with build identity, run state, missing coverage, and owner
Is a reusable QA agent skill safe and reproducible?
Versioned skill, dependency, permission, negative-control, and repeatability record
Can we move from or coexist with a browser grid?
Required-versus-observed matrix, overlap plan, and rollback criteria
Is a CI quality gate ready to become required?
Pass, fail, timeout, cancellation, retry, and wrong-build acceptance record
Did a reported bug actually reproduce?
Reviewed assertion, reproduced/not reproduced/blocked/inconclusive conclusion, evidence, and repair check
Does change-impact selection omit relevant tests?
Commit-specific selected-versus-broader-run comparison
Can we exit with usable assets and known ownership?
Export inventory, standalone run result, and residual-dependency register
How should we migrate an existing automation portfolio?
Source inventory, behavior packets, parallel comparison, acceptance, and rollback record
The evaluation contract
Write this one-page contract before anyone configures the candidate platform.
Decision
The choice this pilot will inform, not a general desire to “try AI testing”
Decision owner
One person accountable for the final adopt, revise, or stop call
Technical owner
Person responsible for environments, data, integrations, and execution
Baseline window
A representative period from the current process
Candidate window
A comparable period using the candidate
In-scope workflows
Named business journeys, APIs, browsers, devices, or release paths
Out-of-scope work
Anything the team will not infer from the pilot
Required evidence
Run references, screenshots, logs, traces, defects, and effort records
Disqualifiers
Conditions that stop or narrow the evaluation
Decision date
The date the evidence packet will be reviewed
Evidence hierarchy
Use the strongest available evidence and label weaker evidence honestly.
Observed on your application: a versioned run, trace, log, screenshot, defect, or reviewer decision.
Reproduced in a representative fixture: a controlled scenario with known assertions and seeded failures.
Confirmed product behavior: a documented ContextQA workflow verified in your workspace.
External reference: official documentation that defines the compared framework or CI behavior.
Illustrative example: a teaching example that must not be reported as a customer result.
Do not convert illustrative values into ROI claims. If a metric is missing, write Not collected and name the owner who will collect it.
The minimum decision packet
At the end of the pilot, a reviewer should be able to answer:
What application version, test version, environment, browser or device, and data state were exercised?
Which workflows and assertions were included, and which important ones were omitted?
Did the execution finish, or was it queued, canceled, timed out, or otherwise incomplete?
Which failures were product defects, test defects, data or environment problems, or still unknown?
How much human work was required to create, review, run, diagnose, and maintain the tests?
What remains owned by scripts, a grid, a CI system, or another vendor?
Can representative assets be exported and exercised outside the managed platform?
What evidence supports adopting, revising, extending, or stopping?
A practical decision rule
Use a small number of gates instead of a weighted score that can hide a fatal weakness.
Coverage integrity
Every critical workflow has a reviewed assertion or an explicit exception
Stop or remediate before measuring speed
Build identity
Every release decision points to the intended commit and environment
Treat the result as unknown
Failure fidelity
Seeded failures fail for the expected reason
Investigate false passes before expanding
Operating burden
Work is measured for both baseline and candidate
Do not publish an ROI conclusion
Integration safety
Failure, timeout, cancellation, and retry behavior are deterministic
Keep the gate advisory
Portability
Exported assets and remaining dependencies are documented
Make the dependency an explicit contract term
The scorecard may still include weighted criteria, but a high total must never override a failed disqualifier.
Related documentation
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