--- source_url: "https://www.qable.io/services/managed-testing-service?utm_source=openai" title: "Managed Testing Services | QAble" mirrored_at: 2026-08-15T01:02:15.385Z host: www.qable.io cited_in_42a: true mirror_canonical: "https://index.42a.ai/www.qable.io/services/managed-testing-service__q__utm_source_openai" --- > **Original source:** https://www.qable.io/services/managed-testing-service?utm_source=openai /[Services](https://www.qable.io/services)/Managed Testing Service ![](https://www.qable.io/_next/image?url=%2Fhero-images%2Fhero-bg.jpg&w=3840&q=75) Outcome-based managed testing ## Managed testing that keeps coverage _in front of release dates_ QAble operates testing as a managed capability: manual, automated, regression, performance smoke and release sign-off, sized to your sprint cadence and contracted to documented coverage, throughput and stability SLAs. Managed testing covers: Manual and exploratory testingAutomated regressionAPI and integration testingPerformance smokeUAT facilitationRelease sign-off Engineering teams that rely on QAble Why managed testing ## Signals it is time for _managed testing_ The QAble Solution ### Managed testing is not staff augmentation. It is testing run as an outcome: coverage, throughput and stability that survive sprint pressure, engineering reorgs and the automation refactor that runs every other quarter. Coverage commitments Engagement contracted to documented coverage, not to hours billed against a timesheet Throughput-managed Capacity sized to your sprint and release cadence: surge capacity available without hiring Documented stability Automation suite stability is an SLA: flake rate and quarantine ageing tracked weekly Coverage areas ## Disciplines a _managed testing engagement runs_ Six testing disciplines operated as one capability, sized to the release cadence and balanced against the SLAs the engagement is contracted to deliver. Discipline ### Manual and exploratory testing Charter-based manual and exploratory testing, designed to find the defects automation cannot reach. session-based test management exploratory charter design usability and edge-case sweeps session evidence and notes Discipline ### Automated regression A maintained regression suite: UI, API and contract, owned by QAble engineers, run on every build and sized to the critical paths that protect each release. critical-path automation CI/CD pipeline integration flake control and quarantine suite growth roadmap Discipline ### API and integration testing Contract, integration and end-to-end API testing, protecting service boundaries from drift between releases and surfacing breakages before customers do. API contract validation consumer-driven contracts integration flow coverage data consistency checks Discipline ### Performance smoke Continuous performance smoke testing, protecting SLOs against slow regression with baselines that travel forward release over release rather than restart every quarter. workload models and baselines release-cycle performance smoke trend dashboards and alerts capacity guidance memos Discipline ### UAT facilitation Structured UAT support: scenario design, business-user facilitation and triage during UAT cycles, turning sign-off into a documented and repeatable process. UAT scenario design business-user coordination UAT defect triage sign-off documentation Discipline ### Release sign-off A documented release recommendation memo on every release: quality posture, outstanding risks, phased rollout guidance and a post-release watchlist. release recommendation memo release-blocker register phased rollout guidance post-release watchlist SLA framework ## The QAble _Throughput Model_ Managed testing only delivers when the engagement is contracted to outcomes, not to hours. QAble runs every managed engagement against four SLA tiers: coverage, throughput, stability and quality signal. Each tier carries documented metrics reported every cycle. Coverage ### Coverage SLA How much of the release we are committing to test, and how that coverage is evidenced. critical-path automation % feature coverage by sprint regression cycle completeness Tier 1 of 4 Throughput ### Throughput SLA How fast capacity flexes around your sprint and release cadence. sprint test execution rate surge capacity availability sign-off lead time Tier 2 of 4 Stability ### Stability SLA How trustworthy the automation suite stays as the product changes. suite flake rate quarantine ageing window mean time to fix flake Tier 3 of 4 Quality signal ### Quality signal SLA How clearly testing speaks to engineering, product and leadership. escape rate trend defect triage SLA sprint and release dashboards Tier 4 of 4 How we work ## How QAble _runs a managed testing engagement_ A six-stage rhythm that takes a managed testing engagement from charter through quarterly review, with documented evidence at every stage. ### Charter and SLAs Document coverage, throughput, stability and quality-signal SLAs, agreed before the first sprint begins, with severity rubric and reporting cadence in the same charter. ### Onboard the suite Inventory critical paths, automation footprint, environments and pipeline, and onboard QAble engineers against documented runbooks and severity definitions. ### Sprint execution Sprint-by-sprint manual, automated, API and exploratory testing, sized to the sprint backlog and tracked against the throughput SLA in real time. ### Release sign-off A documented release recommendation memo on every release: quality posture, outstanding risks, phased rollout guidance and post-release watchlist. ### Continuous reporting Sprint dashboards, release reports and stability reviews, written for engineering, product and leadership audiences from a single shared data set. ### Quarterly review Engagement health review, KPI trend analysis and capacity recalibration, keeping the engagement sized to where the product is heading next quarter. Tools and stack ## Tools and pipelines _we run managed testing on_ QAble fits into your existing toolstack and, where you do not yet have one in place, recommends and configures a stack scoped to your release cadence and engineering culture. ### Jira / Linear Defect tracking and sprint integration ### TestRail / Zephyr / qTest Test case and execution management ### Playwright / Cypress / Selenium UI regression automation ### Postman / REST Assured / Pact API and contract testing ### k6 / JMeter / Gatling Performance smoke and load testing ### GitHub Actions / Jenkins / Azure DevOps CI/CD pipeline integration and gating Deliverables ## What _every managed testing engagement_ produces Documented artefacts at onboarding, every sprint, every release and every quarter, so engagement health is something your leadership can read, not infer. 01 ### Onboarding Charter, SLAs and critical-path inventory agreed and documented before sprint-aligned execution begins. engagement charter and SLAs tooling and pipeline access critical-path inventory baseline metrics snapshot 02 ### Sprint Sprint test execution results, feature acceptance evidence, quality dashboard and sprint risk register. sprint test execution feature acceptance evidence sprint quality dashboard sprint risk register 03 ### Release Regression results, release sign-off memo, release-blocker register and phased rollout guidance. regression cycle results release sign-off memo release-blocker register phased rollout guidance 04 ### Quarterly KPI trend analysis, suite stability review, engagement health report and next-quarter roadmap. KPI trend analysis suite stability review engagement health report next-quarter roadmap Risk patterns ## Risks managed testing removes _from the release window_ The testing patterns we most often replace when QAble takes over a managed engagement: each one quietly shifts release risk away from engineering and onto the release date. Critical01 ### Regression overflow Regression cycles that run into the release window, forcing testing to be cut short or the release to slip: every cycle, despite all the meetings about it. Critical02 ### Untrusted automation A green build that no one believes: flaky tests quarantined, ignored or rerun until they pass. Automation footprint grows but trust in the suite collapses. High03 ### Testing capacity as bottleneck Engineering ready to release, product ready to ship, and testing the only constraint: release decisions made by who is online, not by what is verified. High04 ### Coverage gaps discovered late Critical user journeys uncovered until production reveals them: usually during a high-traffic event when the cost of the gap is at its highest. High05 ### Performance regression drift Cumulative performance regressions across releases that nobody owns: until the customer-reported incident reveals the regression that started six sprints earlier. Medium06 ### Invisible testing throughput Leadership has no view of what was tested, what was skipped or how testing capacity is being spent: the conversation defaults to opinion rather than data. Engagement Models ## Ways to work _with QAble_ Three engagement shapes covering sprint-aligned capacity, release programmes and continuous managed testing. Release-Focused Ongoing ### Sprint testing capacity A managed testing pod scoped to a single product or platform: sprint-aligned execution, regression cycles and release sign-off against documented SLAs. Deliverables Sprint test execution Regression cycle ownership Release sign-off package Sprint quality dashboards Best for Single-product teams Predictable sprint cadence [Get Started](https://www.qable.io/contact-us) Most Popular 4–10 weeks ### Release testing programme A time-boxed managed testing programme for a major release: full regression, performance smoke, UAT facilitation and a documented release sign-off. Deliverables Documented test strategy Full regression cycle Performance smoke and trends Release recommendation memo Best for Major release windows Migration and platform launches [Get Started](https://www.qable.io/contact-us) Flexible Ongoing ### Continuous managed testing A standing managed testing capability across multiple products or squads: capacity that flexes with your release cadence and reports on a single shared dashboard. Deliverables Multi-product execution Cross-squad reporting Suite stability ownership Quarterly capacity review Best for Multi-product platforms High-cadence engineering teams [Get Started](https://www.qable.io/contact-us) Every model includes: Certified QA engineersNDA on day oneDedicated account managerZero lock-in contracts FAQ ## Questions buyers _actually ask_. Direct answers to the questions we get on the first advisor call. [Talk to a QA Advisor](https://www.qable.io/contact-us) How is managed testing different from QA outsourcing or a dedicated QA team? Outsourcing and dedicated team engagements are typically scoped to the people working on your product. Managed testing is scoped to the outcomes those people deliver: coverage, throughput, stability and quality signal, with documented SLAs. The shape of the team flexes around the SLA, rather than the SLA being defined by the team. What is the difference between managed testing and managed QA? Managed testing focuses on test execution as a managed capability: manual, automated, regression, performance smoke, UAT and release sign-off. Managed QA goes wider, also covering QA strategy, governance, leadership, automation engineering as a standing function and quarterly leadership review. Many engagements start with managed testing and evolve into managed QA as the product matures. How is a managed testing engagement priced? Managed testing is priced as a monthly engagement scoped to pod size, capability mix and SLAs. There are no per-test or per-defect surcharges, and capacity changes are handled through documented quarterly reviews, not ad hoc renegotiation when the next sprint pressure arrives. What happens when our release cadence spikes: can capacity flex up? Yes. Managed engagements are designed with documented surge capacity, typically up to 30 to 50 percent above baseline for a contracted window. Surge is requested and confirmed against the engagement charter, and capacity returns to baseline at the end of the window without renegotiation. Do you take ownership of an existing automation suite? Yes. Most managed engagements begin with a structured handover audit of the existing suite: coverage, stability, ownership and pipeline integration. From week one of execution, QAble engineers take ownership of the suite alongside sprint execution, with a documented stability plan that ages quarantined tests rather than ignoring them. How quickly can a managed testing engagement begin and stabilise? Most engagements begin within two weeks of charter agreement. The first 30 days cover onboarding, current-state mapping and runbook documentation. Weeks 5 to 8 reach steady-state execution. Quarterly reviews begin at the end of month three, with the first KPI trend report at the end of the second quarter. ## Outcome-managed testing your release window _can plan around_ QAble delivers managed testing as a contracted capability: coverage, throughput, stability and quality signal, operated by an accountable engagement principal and reviewed every cycle.