Embedded QA Teams That Work Inside Your Sprint, Not Around It

A dedicated QA engineer in your Jira, your Slack, and your sprint ceremonies – from week one. Faster to get started than hiring, with more expertise than a testing factory.

What Embedded QA Means in Practice

Embedded QA is not outsourced testing with a better name. The word "embedded" is doing real work in that phrase, and it is worth being specific about what it means.

Embedded means we are present in your sprint ceremonies – sprint planning, daily standup, sprint review, retrospective. Not as observers. As participants. We contribute to sprint planning by reviewing acceptance criteria and writing test cases for each story before development starts. We participate in standup by reporting testing progress and flagging blockers in the channel your developers already use. We bring quality data to retrospective: escaped defects, coverage gaps, automation candidates for next sprint.

Embedded means we have the same access to your tools that your developers do. We are in your Jira, filing defects in the project with the same access levels as your QA team. We are in your GitHub or Gitlab, reviewing PRs for testability. We are in your staging environment, running test cases against features as they become available – not waiting for a handoff at the end of the sprint.

Embedded means we know your codebase and your product. After the first sprint, we are not a vendor receiving tickets. We are a team member who understands the risk profile of your authentication system, knows which areas of the app have historically been fragile, and can prioritize testing effort based on that context.

45%
Avg. Reduction in Escaped Defects
95%
Release Coverage Achieved
$1B+
In Revenue Supported

Embedded QA vs Hiring Full-Time: The Real Comparison

The honest comparison between embedded QA and full-time hiring covers five dimensions:

Dimension Embedded QA (goGreenlit) Full-Time Hire
Time to value 1-2 weeks 2-4 months (recruiting, hiring, onboarding)
Experience level 9+ years, founders directly engaged Varies by candidate and salary band
Flexibility Scale up or down each month Fixed cost regardless of sprint load
Overhead No benefits, payroll, equipment Salary + benefits + equipment + management
Knowledge transfer Documentation and runbooks built in Depends on individual; lost when they leave

Embedded QA vs a Testing Factory: The Difference That Matters

Testing factories are volume operations. They take requirements, execute them against a checklist, and report results. For well-defined regression testing on stable applications, they can be cost-effective. For anything that requires judgment – risk-based prioritization, exploratory testing, test case design for new features – they produce coverage numbers that look good on paper but don't reflect actual quality.

The fundamental difference: a testing factory is a vendor. An embedded QA team is a partner. A vendor does what it is told. A partner tells you when what you are asking for is not the right thing to do.

In practice, that means: we will tell you when a release is not ready, not just when the test cases you asked us to execute have passed. We will flag requirements ambiguities in sprint planning, not just defects after implementation. We will recommend changes to your deployment process if we see risks that testing alone cannot address.

The most common thing we hear from clients who have used testing factories before goGreenlit: "We knew we had bugs, but we didn't know how many or where. Now we know." The difference is not the number of tests – it is the judgment applied to which tests to run, in what order, with what depth.

Engagement Models: What Working With Us Looks Like From Week One

We offer three engagement models based on your sprint structure and coverage needs:

Weekly sprint retainer: A defined number of QA hours per sprint, allocated to test case design, test execution, and automation. Best for teams on one-week sprints or teams that need a consistent weekly QA presence without full-sprint commitment.

Monthly retainer: A broader scope of work per month covering testing, automation development, and process improvement. Best for teams that want QA embedded across the full sprint cycle and need more hours per sprint than a simple retainer covers.

Project-based: A specific deliverable with a defined scope – a regression suite build, a test strategy engagement, a QA audit followed by implementation. Best for teams that have a specific gap to close rather than an ongoing QA need.

We scope each engagement based on a discovery conversation. We don't publish prices because the right scope varies widely – a 10-person startup needs different coverage than a 50-person company. A 30-minute call is enough to define the right model and a realistic scope.

Ready to start testing inside your sprint?

Tell us about your team, your sprint structure, and your current QA situation. We'll scope an embedded engagement that fits.

Book a Free Call

Not sure if embedded QA is right for your stage?

We can help you figure that out too. A 30-minute call is enough to assess your current situation and give you an honest recommendation – even if that recommendation is not us.

Schedule a Free Assessment

Frequently Asked Questions

How quickly can you embed a QA engineer?
Most engagements start within one to two weeks of a signed agreement. The first week is onboarding – getting access to your tools and attending sprint ceremonies to learn the current state. By week two, we are executing test cases and filing defects.
Do I need full-time QA or is embedded QA enough?
For most startups under 30 engineers, embedded QA on a fractional basis provides the coverage needed without the overhead of a full-time hire. As you scale past 30 engineers or start shipping daily, a full-time QA hire becomes more cost-effective. We'll tell you honestly when you've reached that point.
How does pricing work for embedded QA?
We structure engagements as weekly sprint retainers, monthly retainers, or project-based engagements depending on what fits your situation. A discovery call is the best way to figure out which model and what scope is right for your team.
Will you work in our Jira and Slack?
Yes. We work inside your existing tools – Jira, Linear, GitHub, Slack, Teams – whatever you already use. We adapt to your workflow, not the other way around. No new tooling setup required on your end.
What happens if we want to stop the engagement?
Engagements are month-to-month with 30 days notice to end. There are no long-term contracts and no penalties for stopping. If we're not adding value, you should be able to stop – that policy keeps us focused on actually delivering quality.