Case studies / How we automate SaaS regression testing
FinTechHow we approach it

Regression testing that stops holding up the release

When regression is manual, releases wait for it. We automate by risk, gate pull requests and run the full suite nightly.

Risk-basedtest selection
PR gatethat blocks failing merges
Nightlyfull regression across browsers
Dashboardsfor pass rates and flaky tests
In 60 seconds

The whole story, short

The problem

A manual regression cycle takes days and delays every release.

What we did

  • Select tests by risk
  • Add pull-request quality gates
  • Schedule nightly regression
  • Build dashboards
  • Work inside the team’s sprints

The outcome

PR gates plus nightly regression

The problem

What goes wrong

  • A manual regression cycle takes days and delays every release.
  • Defects escape because the riskiest flows are not covered first.
  • Flaky tests are ignored instead of fixed.
  • Nobody can see quality trends by product area.

Why the usual fix falls short

Automating everything at once is slow and builds a brittle suite. Coverage should follow customer impact, change frequency and defect history.

What we did

How we tested it

  1. Select tests by risk

    Rank manual cases by customer impact, change frequency and defect history, then automate, keep or retire each one.

  2. Add pull-request quality gates

    Run a fast suite on each pull request, with failures blocking the merge.

  3. Schedule nightly regression

    Run the full suite every night across supported browsers.

  4. Build dashboards

    Show pass rates, flaky tests, escaped defects and failures by product area in one place.

  5. Work inside the team’s sprints

    Review test coverage for each new feature during planning.

FAQ

Questions buyers ask

How much regression testing should be automated?

Automate stable, repetitive, high-risk flows first, such as login, billing, and core workflows. Keep exploratory work and rapidly changing features manual for now. There is no universal percentage. A useful suite catches real problems quickly and stays affordable to maintain, which matters more than a high coverage figure.

How do you run regression tests in CI/CD?

Split tests by speed. Run a small, fast suite on every pull request and a broader suite nightly or before release. Failures should block merges or deployments, so results must be reliable. Fix or quarantine flaky tests quickly, or developers will start to ignore the pipeline.

What is risk-based regression testing?

Risk-based regression testing prioritizes tests according to the likelihood and impact of failure. Teams consider which features matter most to customers and revenue, what changed recently, and where defects have appeared before. High-risk areas are tested more often, so limited time goes where a failure would cost the most.

Want this level of testing on your product?