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Services for SaaS teams that want fewer release surprises

If customers keep finding issues after release, TestVector helps work out why. The problem may be missing checks, stale data, fragile automation, slow regression, noisy CI, or product areas that only get checked by habit.

Best first step

Start with the audit if you are not sure what is missing

The QA Signal Audit shows what your current release process catches, what still reaches customers, and which gaps are worth fixing first.

Use the audit for diagnosis, the framework build for implementation, data/output verification for correctness risk, and advisory when leadership needs recurring QA judgment.

Starting at $1,500

QA Signal Audit

A focused review of how your product is checked before release and where customer-facing issues can still slip through.

Best for: Teams with tests that still cannot explain which failures would reach production.

Typical timeline: 1-2 weeks

Gap reportRisk map30-day action plan

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

Download QA Signal Checklist
What TestVector covers for QA Signal Audit
  • current test coverage
  • manual regression process
  • UI/API/backend/data coverage
  • CI reliability
  • flaky/noisy tests
  • critical workflows
  • release risk areas
What your team gets from QA Signal Audit
  • 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 automation built around product behavior, not fragile test counts.

Typical timeline: 2-6 weeks depending on scope

Working frameworkCI-ready setuphandoff docs
What TestVector covers for Automation Framework Build / Rebuild
  • Playwright-based UI automation
  • API verification
  • database validation
  • file/output validation
  • CI integration
  • reporting
  • practical test structure
  • maintainable test data patterns
What your team gets from Automation Framework Build / Rebuild
  • 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 bad data, stale outputs, generated files, reports, or backend state can create expensive mistakes.

Typical timeline: Scoped based on workflow complexity

Validation strategyautomated checkscomparison scripts
What TestVector covers for Data and Output Verification
  • source-to-output consistency
  • database state changes
  • generated TSV/CSV/JSON/XML files
  • reports and exports
  • backend workflow results
  • edge cases and malformed input
What your team gets from Data and Output Verification
  • 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 recurring QA/SDET support, release-risk review, and practical implementation without committing to a large agency retainer.

Typical format: Monthly support or scoped implementation

recurring reviewprioritized actionsimplementation guidance
What TestVector covers for Ongoing QA Advisory
  • release risk review
  • QA strategy
  • test planning
  • automation prioritization
  • CI/test suite triage
  • coverage decisions
  • developer/QA workflow alignment
What your team gets from Ongoing QA Advisory
  • 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.

Sample deliverables

Concrete examples before you book

Review the audit output and demo framework to see the kind of practical findings, structure, and handoff TestVector provides.

Sample QA Signal Audit output with findings, severity ratings, risks, fixes, and a 30-day action plan

Sample QA Signal Audit

Review the type of findings, severity ratings, recommended fixes, and 30-day plan an audit can produce.

View sample audit output

Positioning

Senior QA judgment matters when the suite cannot explain the release.

QA agency

Optimizes for: process, capacity, staffing

Gap: can add management layers, cost, and generic process

Offshore vendor

Optimizes for: low-cost execution and volume

Gap: can lack product context, architecture context, and release judgment

AI test-generation tool

Optimizes for: fast test creation

Gap: cannot decide which behavior should block a release

TestVector

Optimizes for: senior QA judgment and targeted verification

Gap: best when leadership wants a clearer release signal, targeted implementation, and practical handoff instead of 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 makes CI worth reading again.
  • 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

Ready to review the risk?

Download QA Signal Checklist to inspect stale outputs, flaky setup, missing backend checks, and test suites that take too long to trust.