technical-refactor-working-hours-inspection

Automate dashboard metrics extraction by using Playwright to navigate the OKR dashboard, apply date and department filters, run queries, and parse first-row metric values into a standardized daily JSON payload.

Tracking technical refactor working hours from a web UI is best handled by automating data extraction to capture total hours, refactor hours, and the refactor rate into standardized daily JSON records for reliable historical analysis.

Yes, this Playwright automation supports filtering by specific date ranges and departments. It automatically applies these filters within the OKR dashboard web UI before executing queries and capturing the resulting metric values.

Generate weekly OKR trends from daily dashboard JSON outputs using the built-in JoyClaw-based workflow, which aggregates daily extracted metrics to provide a concise view of progress over time.

Yes, you need Playwright installed to run the OKR dashboard data scraping script, as it is the required dependency for automating browser-based web UI interactions, navigation, and metric extraction.

Limitations of using web scraping for OKR metrics extraction include potential script breakage if the dashboard web UI layout changes, specifically affecting the ability to reliably locate and parse first-row metric values.