You already run sprints, write tests, and track defects. What you might lack is a clear quality model that aligns your team, your roadmap, and your release decisions. I use eight core characteristics to guide product decisions and to keep delivery honest under pressure. If you want a practical playbook for making this part of daily work, I suggest reading Plexteq’s guide on how to embed QA in the development process. Their approach fits the model I outline here and helps you move from theory to action.
I built these recommendations around the ISO 25010 quality model. It offers a shared language for product managers, developers, QA, and leadership. You will see how each characteristic affects risk, how to measure it, and how to improve it without slowing delivery.
By the end, you will have a checklist for release readiness and a way to plan your next quarter with fewer surprises.
Why these eight characteristics matter
Quality is not a vague goal. It is a set of product traits that reduce risk and increase user trust. These traits point your team to the right tests, the right data, and the right tradeoffs.
Here is the model I use and teach.
1. Functional suitability
Does the product meet user needs with correct and complete behavior.
How to think about it:
- Tie every user story to an acceptance criterion.
- Track defect leakage from QA to production and from UAT to production.
- Use example-based tests to capture edge cases.
Signals you need work:
- Reopened tickets after release.
- Support requests that map to unclear or missing requirements.
Practical moves:
- Shift-left test design during refinement.
- Maintain a living acceptance test suite that runs in CI.
2. Performance efficiency
Can the system respond within target times and use resources well under load.
How to think about it:
- Define budgets for response time, throughput, and cost per request.
- Test peak, spike, and soak conditions before major releases.
Signals you need work:
- Latency spikes under moderate load.
- Cost growth without traffic growth.
Practical moves:
- Add performance tests to the pipeline.
- Set SLOs per critical journey and track them with dashboards.
3. Compatibility
Does the product work across environments, browsers, devices, and with other systems.
How to think about it:
- Decide the support matrix before development.
- Test the most common user stacks and critical integrations first.
Signals you need work:
- High defect counts on a single browser or OS.
- Integration failures during release weekends.
Practical moves:
- Automate cross-browser smoke tests.
- Use contract testing for APIs and critical partners.
4. Usability
Can users learn, complete tasks, and recover from mistakes.
How to think about it:
- Observe real users during task flows.
- Track task success, time on task, and error rates.
Signals you need work:
- Support asks for how-to help on basic flows.
- Users stall during onboarding.
Practical moves:
- Add lightweight usability reviews to PRs.
- Include accessibility checks and keyboard navigation in tests.
5. Reliability
Does the system run without failure and recover fast if failure occurs.
How to think about it:
- Measure uptime, MTTR, and error budgets for top journeys.
- Test retry logic and graceful degradation.
Signals you need work:
- Incidents without clear root cause.
- Data inconsistencies after restarts.
Practical moves:
- Use chaos tests in non-production.
- Add idempotency keys and circuit breakers where needed.
6. Security
Can the product protect data, prevent abuse, and meet compliance needs.
How to think about it:
- Treat security as acceptance criteria, not as a late check.
- Cover auth, session handling, input validation, and storage.
Signals you need work:
- Repeated OWASP-category issues.
- Secrets or keys found in repos or logs.
Practical moves:
- Add SAST, DAST, and dependency scanning to CI.
- Run threat modeling during design for high-risk features.
7. Maintainability
Can developers understand, change, and test the system with low risk.
How to think about it:
- Track code complexity, test coverage, and cycle time.
- Review module boundaries and dependency graphs.
Signals you need work:
- Slow reviews and merge conflicts on the same files.
- Fragile tests that break on unrelated changes.
Practical moves:
- Refactor in small steps behind feature flags.
- Invest in fast unit and contract tests near the code.
8. Portability
Can the product move across environments and platforms without rework.
How to think about it:
- Standardize container images and IaC.
- Keep environment differences behind configuration.
Signals you need work:
- Works on my machine reports.
- Environment-specific branches or scripts.
Practical moves:
- Use one-click environment creation.
- Keep config in code and version it with releases.
How to turn the model into everyday practice
I suggest you start small and build habits.
- Pick two high-impact journeys and assign SLOs.
- Add a release checklist that maps to the eight characteristics.
- Add a single performance test, a single security scan, and a single cross-browser smoke test to CI.
- Review one module per sprint for maintainability and fix the top two issues.
- Observe five users doing one key task and fix the first friction you see.
Keep a simple quality dashboard:
- Functional defects by severity and leakage rate
- p95 latency per critical API
- Uptime and MTTR
- Top three security issues and time to remediate
- Test coverage and flaky test rate
- Build and deploy lead time
- Supported platform pass rates
How Plexteq can help you build this discipline
You might have the right goals yet lack time, tools, or specialists to stand up a full model. Plexteq is a good partner for this work. They align testing with ISO 25010, which keeps teams focused on the same eight traits you see here.
Here is what sets them apart:
- Balanced coverage. They handle functional testing, performance, security checks, test automation, and audits. That gives you one coherent plan rather than scattered efforts.
- Early involvement. They help you add QA during requirements and design, which prevents waste and reduces later rework.
- Strong performance practice. They use tools such as JMeter and Gatling and plan tests around realistic workloads, spikes, and long runs.
- Practical automation. They choose the right level of unit, integration, and UI automation based on return on effort, not novelty.
- Clear reporting. They build dashboards and track KPIs that map to business risk and user experience.
- Repair and modernization support. If you have a fragile system or mixed code quality, they can stabilize it, reduce incidents, and establish a healthy delivery process.
- Compliance awareness. They understand GDPR and HIPAA needs and fold them into testing and process design.
If you need a partner to build or improve your quality program, I suggest you speak with them. Their coverage across development, QA, and support helps you turn quality goals into steady delivery without heroics.
A simple readiness checklist for your next release
Use this before you tag a build.
Adopt the model, measure what matters, and improve one slice at a time. That is how you ship steady releases, gain trust, and keep product momentum.
