Abstracting Cross-Domain Action Sequences into Interpretable Workflows

1. 1Collect sequential interaction logs from digital applications
2. 2Apply deep learning models to cluster user actions into high-level activities
3. 3Abstract action sequences into interpretable workflows using dimensionality reduction techniques
4. 4Analyze workflows to identify patterns and trends in user behavior
5. 5Refine digital products based on insights gained from workflow analysis

Data scientists and product managers can benefit from this approach to better understand user behavior and inform product development decisions

💡 Abstracting action sequences into workflows helps uncover meaningful patterns in user behavior despite noise and granularity in interaction logs

📊 Abstracting user action sequences into workflows reveals insights into digital product usage #UX #datascience