Release confidence services
Founder-led QA services for teams that need clearer release decisions.
Use hands-on testing, automation support, AI and LLM validation, and QA consulting to strengthen release confidence when the product needs judgment, implementation, and follow-through.
How founder-led QA services fit with the product
Well Tested combines a release-intelligence product with founder-led QA services. The product handles the systematic signals that should run on every release — table diff, release readiness, and SEO QA. The services layer handles the exploratory, judgment-heavy, and implementation work that systematic checks cannot cover.
Common patterns: automated test suites built during a sprint then handed off to the team; manual exploratory testing for complex user flows; AI/LLM validation for products with model-powered features; performance baseline work ahead of a major launch.
Not sure which service applies? Read the FAQ or book a discovery call to map your release pipeline and identify the highest-impact testing investment.
Manual Testing
Comprehensive functional, usability, and exploratory testing to ensure your application works reliably.
- Functional Testing - Validate features and business logic
- Usability Testing - Check whether flows feel clear and usable
- Exploratory Testing - Investigate unexpected failures and edge cases
- Compatibility Testing - Review behavior across browsers and devices
- Regression Testing - Re-check critical flows after changes
- Accessibility Testing - Validate key accessibility expectations
Automated Testing
E2E, API, unit, and integration testing with CI support for continuous quality assurance.
- End-to-End Testing - Cover full user journeys
- API Testing - Validate backend behavior and contracts
- Unit Testing - Strengthen component and function-level coverage
- Integration Testing - Check how systems behave together
- CI Integration - Run the right tests in the release workflow
- Test Maintenance - Keep automation stable as the product evolves
AI Testing
Specialized testing for AI models, AI features, and integrations to improve accuracy and reliability.
- Model Validation - Review output quality and expected behavior
- Bias Testing - Examine responses for skewed or harmful patterns
- Integration Testing - Check AI features inside product workflows
- Performance Testing - Review latency and responsiveness
- Accuracy Validation - Compare outputs against expected outcomes
- Monitoring Guidance - Define what to watch after release
LLM Testing
Comprehensive LLM testing covering prompt quality, responses, hallucinations, and context behavior.
- Prompt Testing - Evaluate prompts against expected behavior
- Response Validation - Review outputs for quality and consistency
- Hallucination Detection - Identify false or unsupported outputs
- Context Management - Test multi-turn and retrieval behavior
- Token Optimization - Review efficiency and waste
- Model Comparison - Compare behavior across providers or versions
Performance Testing
Load, stress, and scalability testing to understand how your application behaves under pressure.
- Load Testing - Review behavior under expected traffic
- Stress Testing - Explore limits and failure points
- Scalability Testing - Measure behavior under increasing demand
- Performance Optimization - Identify and prioritize bottlenecks
- Capacity Planning - Estimate infrastructure needs
- Response Time Analysis - Validate key experience thresholds
API Testing
REST, GraphQL, and SOAP API testing to improve backend reliability and contract confidence.
- REST API Testing - Validate endpoint behavior and outputs
- GraphQL Testing - Review queries, mutations, and error handling
- SOAP Testing - Check XML-based service integrations
- Endpoint Validation - Confirm expected success and failure cases
- Contract Testing - Detect drift between systems
- Error Handling - Verify meaningful failure responses
QA Consulting
Strategic QA planning, workflow review, and tool guidance to improve your testing approach.
- Strategy Development - Build a practical QA plan
- Process Review - Identify where quality breaks down
- Tool Guidance - Recommend the right testing stack
- Team Enablement - Help teams work better with QA
- Test Planning - Prioritize what should be validated first
- Quality Metrics - Define useful signals for release readiness
Usability & UX
Usability reviews, UX debugging, and accessibility testing to improve real user experience.
- Usability Reviews - Find friction in critical user journeys
- User Flow Testing - Check how people move through tasks
- Accessibility Testing - Review experience against accessibility needs
- Design Review - Flag product and interaction problems
- Experience Analysis - Evaluate usability patterns across the app
- Accessibility Audits - Focus on practical accessibility issues
Start with a discovery call
Need a custom QA scope?
Use a discovery call to walk through your stack, release flow, and where testing support would make the biggest difference.
Scope and recommendations depend on your product, release cadence, and current coverage.