delay-test-rate-inspection

Automating OKR delay-rate data extraction uses Playwright browser automation to open a fixed dashboard page, apply date and department filters, and parse table DOM elements to generate structured daily JSON records.

Yes, Playwright enables deterministic web automation for scraping dashboard tables. This Skill filters data by date and department, reads the first row of the target chart table, and exports the parsed values to a daily JSON file.

Tracking weekly OKR delay-rate trends is achieved by generating daily JSON records containing delay metrics. Downstream tools like JoyClaw consume these historical JSON files to aggregate and visualize the weekly trend data.

Dashboard data collection supports a fixed department scope and a specific date range. It automatically applies a filter from last Friday to today before querying the dashboard and extracting the target metrics.

The daily JSON output includes explicit fields and units such as planned_test_requirements, delayed_test_requirements, and delay_test_rate_okr, extracted directly from the dashboard's target table row.

Web automation can fail parsing dashboard tables if DOM elements load dynamically or page structure changes. This Skill ensures deterministic extraction by applying fixed filters and reading specific table rows after the page fully renders.