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QA consulting services for teams that need cleaner release signal

If your team has tests but still does not trust releases, I help identify where the signal breaks down: false confidence, missing backend checks, flaky UI automation, untested data paths, weak regression coverage, noisy CI, or workflows that are only partially verified.

Best first step

Not sure where to start?

Start with a QA Signal Audit. It identifies where your current tests create confidence, where they create false confidence, and which gaps are worth fixing first.

The goal is not more tests. The goal is knowing which failures your current verification cannot see.

Starting at $1,500

QA Signal Audit

Best for: Teams with tests, but low confidence in what those tests actually prove or what blind spots they leave open.

Typical timeline: 1-2 weeks

Book a QA Signal Audit View sample audit output

See an example of the findings, severity ratings, risks, recommended fixes, and 30-day action plan included in an audit.

Not sure if you need an audit yet? Start with the QA Signal Checklist.

Download QA Signal Checklist

What I review

  • current test coverage
  • manual regression process
  • UI/API/backend/data coverage
  • CI reliability
  • flaky/noisy tests
  • critical workflows
  • release risk areas

Deliverables

  • QA signal gap report
  • prioritized risk map
  • recommended coverage by layer
  • automation cleanup recommendations
  • short-term and medium-term action plan

Starting at $5,000

Automation Framework Build / Rebuild

Best for: Teams that need verification architecture that proves real behavior instead of producing fragile test counts.

Typical timeline: 2-6 weeks depending on scope

Discuss an automation build View demo framework on GitHub

See an example of the tech stack, architecture, test layers, sample usage, reporting and CI included in an automation framework build.

What I build

  • Playwright-based UI automation
  • API verification
  • database validation
  • file/output validation
  • CI integration
  • reporting
  • practical test structure
  • maintainable test data patterns

Deliverables

  • working automation framework
  • example tests across relevant layers
  • documentation
  • CI-ready execution
  • reporting setup
  • handoff walkthrough

Starting at $2,500

Data and Output Verification

Best for: Products where correctness depends on transformed data, reports, exports, generated files, backend state, or uncommon but supported data combinations.

Typical timeline: Scoped based on workflow complexity

Review data verification gaps

What I verify

  • source-to-output consistency
  • database state changes
  • generated TSV/CSV/JSON/XML files
  • reports and exports
  • backend workflow results
  • edge cases and malformed input

Deliverables

  • verification strategy
  • automated checks where appropriate
  • comparison tools/scripts
  • repeatable validation process
  • documented expected behavior

Starting at $2,000/month

Ongoing QA Advisory

Best for: Teams that need senior QA judgment without hiring full-time or working through agency layers.

Typical format: Monthly advisory or scoped consulting

Ask about advisory

What I help with

  • release risk review
  • QA strategy
  • test planning
  • automation prioritization
  • CI/test suite triage
  • coverage decisions
  • developer/QA workflow alignment

Deliverables

  • recurring QA review
  • prioritized action items
  • test strategy support
  • tactical implementation guidance

Final scope depends on product complexity, number of workflows, current test setup, CI needs, backend/data complexity, and how much implementation support is required.

Positioning

Not an offshore test factory. Not an AI test generator.

Option What they usually optimize for Where they often fall short
QA agency process, capacity, staffing can add management layers, cost, and generic process
Offshore vendor low-cost execution and volume may miss product context, architecture, and release-risk judgment
AI test-generation tool fast test creation cannot own the risk model, test strategy, or long-term signal quality
TestVector senior QA judgment and targeted verification best when the team wants signal and implementation, not just cheap test volume

ROI

When this pays for itself

  • A smoke suite that drops from hours to under 20 minutes saves release time every cycle.
  • A flaky suite that stops wasting developer attention improves trust in CI.
  • Backend/data checks catch failures UI tests cannot see.
  • Expanded datasets expose supported states that production-like regression never covered.
  • Better test layering reduces expensive E2E bloat.
  • A maintainable framework prevents the dust-collecting suite problem.

Next step

Want a smaller first step?

Download the QA Signal Checklist to identify weak release signal before committing to an audit or automation rebuild.

Download QA Signal Checklist Book a QA Signal Review