What to Automate First When Your Regression Suite Is Mostly Manual

Description and use

A prioritization framework for regression test automation based on business-criticality, repetition, stability, and manual cost, proven in real projects to reduce run times and improve reliability.

Problem

QA teams with mostly manual regression suites struggle to decide how much to automate and in what order, leading to low trust and inefficient testing.

Outcome

Applying the four-factor filter and sequencing strategy transformed manual regression suites into robust, high-coverage automated test suites, cutting regression times from days to hours and improving reliability across multiple real-world projects.

Workflow

• Identify business-critical flows using product and support input.
• Filter candidates by criticality, repetition, and stability; rank by manual cost.
• Rebuild foundation with a clean architecture (e.g., Playwright/TypeScript).
• Stabilize by automating critical flows and eliminating flaky tests.
• Scale by adding more tests, tagging, and tiered CI runs (smoke, critical, regression, quarantine).
• Optimize by monitoring, maintenance, and parallel execution.
• Revisit manual decisions periodically and consider API-level automation for unstable UIs.
• Integrate CI/CD, failure alerts, and security testing as needed.
• Maintain documentation and test standards for long-term sustainability.

Evidence

The filter we use has four factors: business‑critical, repeated, stable, and expensive to run by hand.

Source

Agorapulse rollout ran in four phases: rebuild foundation, stabilize, scale, optimize.

Source

Coverage expansion is phase three, not phase one.

Source