Testing teams are making big bets on automation, but which approaches are working at scale? In this session, our speaker will share anonymised insights drawn from large‑scale analysis of real‑world testing activity across organisations of varying sizes and maturity. By examining a full month of executions, covering hundreds of thousands of tests and millions of individual commands, we move beyond opinions, frameworks wars, and marketing claims to focus on what the data genuinely shows.

The session will explore:
- Which automation frameworks are most used in practice
- How successful automated tests really are
- How teams balance manual and automated testing
- Where human‑written tests tend to succeed—or become fragile
- How locator strategies and test complexity impact reliability and performance
- How AI is starting to influence testing workflows, and what has actually changed in the last 12 months

Attendees will leave with an evidence‑based view of what “good”, “better”, and “best” look like in modern test automation, grounded in real data, not hype