Quality Engineering
Find what matters. Before it becomes a problem.
Testing everything equally costs as much as testing nothing deliberately, and tells you almost as little. The useful question is not how much you test, but whether the effort is pointed at the places where failure would actually hurt.
For teams where bugs keep reaching users, testing has grown by accretion, or nobody can answer plainly whether a build is safe to ship.
Discuss a quality engineering projectChallenges we solve
Bugs keep reaching users
Things pass internally and break in production. Usually this is not carelessness — it is that the tests cover what is easy to test rather than what is likely to break, and nobody has looked at the difference.
Nobody can say what is covered
There are tests, and there is a number from a coverage tool, but no one can answer the real question: if this feature broke, would anything have told us?
Release decisions are made on feeling
A release is approved because the team feels good about it, or delayed because someone is nervous. Neither is evidence, and both are hard to defend when a decision turns out wrong.
The regression suite has become a ritual
A long manual pass runs before every release, takes days, and rarely finds anything. It continues because stopping feels risky, not because it is working.
What we do
Quality strategy
Deciding what to test, how deeply, and when — written down and agreed, so testing effort is a deliberate choice rather than an accident of history.
Risk-based testing
Weighting effort by what failure would cost and how likely it is, so the critical paths get real attention and the trivial ones stop absorbing it.
Functional, integration and system testing
Checking behaviour at the level where the risk actually lives, including the seams between components where defects collect.
Exploratory testing
Structured, time-boxed investigation by someone who understands the product. This is where the defects nobody wrote a test case for tend to surface.
Regression testing
Keeping a dependable safety net around what already works, and keeping it small enough that people actually run it.
Release readiness
A clear statement of what has been verified, what has not, and what risk is being accepted — so the decision to ship is made with eyes open.
Defect investigation and reporting
Reproducible reports with the evidence attached, so engineers spend their time fixing rather than reconstructing.
Cross-platform quality
Deciding which browsers, devices and configurations genuinely need coverage, based on who uses the product.
Risk-Based Testing Explorer
A deliberately simple model of how testing priority can be reasoned about. Adjust the inputs and the arithmetic stays visible — the point is the conversation it structures, not the number it produces. It is illustrative, not a prediction engine.
Used constantly, and failure costs money and trust.
How much damage if this breaks?
How likely is it to break?
How often is it used?
How much is already tested?
Testing priority
36
high
Worth structured test design and regression cover. Review it every release.
How this number is produced
exposure = impact × probability × usage = 60
priority = exposure × (1 − coverage) = 36
Deliberately crude, and shown rather than hidden. It is a way to structure a conversation about where testing effort should go — not a measurement, and not a prediction.
Typical deliverables
Illustrative of what an engagement can produce. Not a record of completed client work.
- A written test strategy with the reasoning behind it
- A risk assessment of the product's main areas
- Coverage analysis: what is protected, what is exposed
- A defect reporting process your team will actually follow
- Release-readiness assessments, with risks stated plainly
- Handover so the practice continues after we leave
Our approach
- AssessWe look at the product, the existing tests and how releases happen today, and find where the real exposure is.
- PlanWe propose a strategy weighted by risk, and agree where depth is worth paying for and where it is not.
- ImplementTest design, execution and reporting, working alongside your developers rather than at arm's length from them.
- VerifyWe check the strategy against what actually escapes to production, and adjust where it was wrong.
- Hand overDocumented practice, so quality does not leave when we do.
This sits inside our wider Design, Build, Verify, Improve cycle.
Engagement options
Quality assessment
Short, fixed scope
A review of your product, tests and release process, returning the highest-risk gaps and a prioritised plan.
Defined-scope engagement
Agreed outcome and timeline
Building a test strategy, overhauling a regression suite, or taking a specific release through to a readiness decision.
Ongoing quality support
Continuing, reviewed regularly
Continuous quality work embedded with your team through each release cycle.
Ethora Labs is a small, senior team. We take on work we can do well, and we say so when something falls outside that. We do not run offshore delivery centres or bench teams.
Talk to us about quality engineering
Tell us what you are working on. We will tell you honestly whether we are the right people for it.