FLW: Data Correction

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    • Type: Story
    • Resolution: Done
    • Priority: High
    • 2.4
    • Affects Version/s: None
    • FLW Sprint 27, FLW Sprint 28, FLW Sprint 30, FLW Sprint 31, FLW Sprint 32, FLW Sprint 33
    • FLW Mobile App
    • Prod

      As a data analyst, I want to identify ASHAs who are creating an unusually high number of records on the same day, so that I can review and correct potentially inaccurate data and ensure the reliability of our reporting.

      Acceptance Criteria:

      • The system identifies ASHAs who have created more than a threshold number of records (e.g. 100, 200, 1000, etc. ) on a single day.
      • A lists these high-activity records with metadata (e.g. ASHA ID, record count, date, location).
      • Filters are available by date range, ASHA ID, and location for detailed analysis.
      • Data correction workflows are established for flagged records.
      • All actions (identified, reviewed, corrected) are logged with user ID and timestamp.

              Assignee:
              Kundan Kumar Srivastava
              Reporter:
              Shashank Kharkwal
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                Created:
                Updated:
                Resolved: