Why Human Touch Still Matters in Automated Process Testing
17 Jun 2025
AB-BPM is promising, but needs human oversight, transparency, and integration for success; expert input reveals new research paths and key tool priorities.
Why People, Platforms, and Process Drift Shape AB-BPM’s Future
17 Jun 2025
Industry experts see AB-BPM as promising for structured, rapid process testing—if paired with impact forecasts, human oversight, and strong change management.
How a BPM Dream Team Ranked the Risks and Tools for AB-BPM
17 Jun 2025
A grounded theory and ranking-type Delphi study with BPM experts captured qualitative insights on AB-BPM risks, adoption, and key tool features.
The Next Evolution in Business Process Improvement
17 Jun 2025
Combining AB testing and reinforcement learning empowers rapid, data-driven business process changes, addressing failures faster than traditional BPM.
What BPM Pros Really Think About AI and A/B Testing Process Change
17 Jun 2025
Industry experts say AB-BPM’s DevOps-driven process improvements need human oversight, cultural fit, and platform integration for practical success.
How Nyholt’s Method Makes Scientific Testing More Reliable
1 Apr 2025
Nyholt’s method improves statistical efficiency by refining error rates and sample size calculations, offering an alternative to Bonferroni-type corrections.
Evaluating False Positives and Sequential Testing in Experimentation
1 Apr 2025
Analyzing false positive rates & impacts of sequential deterioration tests on statistical accuracy using Monte Carlo simulations and Group Sequential Testing.
How to Improve Accuracy in Success and Safety Testing
31 Mar 2025
Improving efficiency in hypothesis testing by minimizing overlap in rejection regions for success and guardrail metrics in superiority and inferiority tests.
Spotify’s Approach to Multi-Metric A/B Testing Decisions
31 Mar 2025
A decision rule framework improves A/B testing by balancing statistical rigor and practicality, ensuring reliable product decisions with controlled error rates.