Click each stage to explore the key actions, metrics to track, and what "done" looks like.
Your progressNot started
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Stage 1: Audit & Baseline
Understand what you have before you change anything. Map cost, time, and gaps.
Key actions
Map every tool in your stack — licensing costs + maintenance time
Include informal tools: spreadsheets, Confluence pages, Slack channels
Identify your single-source-of-truth gap
Ask: how long to compile test coverage data for the next release?
Metrics to baseline
Test cycle time per sprint
Defect escape rate
Time-to-release-readiness
QA onboarding time for new hires
Hours/week lost to manual sync
Stage 1 is done when: You have baselined all four key metrics and identified one manual sync workflow as your first proof-of-value target for elimination.
Without these baselines, you can't measure ROI — or make the case to finance for continued investment.
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Stage 2: Pilot on one squad
Run one workflow end-to-end on the unified platform. No scripts need to change.
Key actions
Choose one squad or product area
Route Playwright / Selenium results into unified reporting — no script changes
Build a single release readiness dashboard for that squad
Let AI operate on the complete data picture from day one
Metrics to watch
Time-to-release-readiness (delta vs baseline)
Manual sync overhead reduction
Stakeholder adoption of single dashboard
Defect escape rate for piloted squad
Stage 2 is done when: Time-to-release-readiness has measurably dropped and manual sync overhead has fallen for the pilot squad. The consolidation case is writing itself.
This is a behavioral change as much as a technical one — incremental is easier than all at once.
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Stage 3: Scale, retire & govern
Expand coverage, cancel redundant licenses, and establish governance that actually sticks.
Key actions
Expand to additional squads or test types (e.g. mobile)
Retire the first redundant tool — cancel the license
Document direct savings for finance sign-off
Define who can publish tests to the regression suite
Governance to establish
How release readiness is measured and by whom
Approval gates for AI-generated test cases
Regression suite publishing rules
Quality metrics dashboard ownership
Stage 3 is done when: At least one redundant tool is retired, direct savings are documented, and governance rules are in place — made possible because all your data now lives in one place.
Governance is much easier to establish when your data lives in one place. On a fragmented stack it requires coordinating across five systems — which is why most teams never implement it.
Roadmap complete.
You've mapped all three stages. Teams that follow this structure typically see measurable ROI well inside the first quarter.