Data-quality rule and issue registration
For data-quality rule and issue registration, define the required context, classification rules, and duplicate or missing-data checks before work enters the operating queue.
FREE CLAUDE & CODEX PLUGIN TEMPLATE
A real SOT-based Data Quality Management System PRD template connecting data-quality rule and issue registration, quality score, error, impact scope, and remediation-history lookup, rule execution, issue assignment, root-cause analysis, remediation, and validation handling, accuracy, completeness, timeliness, and issue-sla reporting.
View source on GitHub · MIT licensed
USE CASE
Teams designing an internal operations system for data practitioner and business user relying on analytics and operational data and data governance and quality operations coordinator
CONTENTS
VIBESPEC VIEWER
Each screen is generated from the public SOT included with this template.
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Open this screen in the live demo PRACTICAL GUIDE
This Data Quality Management System connects data-quality rule and issue registration, quality score, error, impact scope, and remediation-history lookup, rule execution, issue assignment, root-cause analysis, remediation, and validation handling, and accuracy, completeness, timeliness, and issue-sla reporting in one SOT-based planning document. Use the complete HTML to review and share the plan, then adapt the SOT JSON with the VibeSpec plugin in Claude or Codex.
For data-quality rule and issue registration, define the required context, classification rules, and duplicate or missing-data checks before work enters the operating queue.
For quality score, error, impact scope, and remediation-history lookup, keep status, owner, priority, and change history together so the team can find the complete operating context.
In rule execution, issue assignment, root-cause analysis, remediation, and validation handling, connect assignment, approval or rejection, exception handling, and completion confirmation as one accountable workflow.
Use accuracy, completeness, timeliness, and issue-sla reporting to track due dates, bottlenecks, exceptions, and completion outcomes by team, period, and operating category.
Set the role-based access, audit history, notifications, and external-system boundaries that Data Quality Management System needs to operate safely.
The download opens in a browser without setup. Compare the PRD, feature specification, screen structure, and user flow with the work your team does today.
Write down real user roles, required data, approval rules, exceptions, and success metrics. Start with the core flow from data-quality rule and issue registration through rule execution, issue assignment, root-cause analysis, remediation, and validation handling.
Attach the SOT JSON in Claude or Codex with the VibeSpec plugin and describe the change in plain language. VibeSpec keeps requirements, features, screens, and user flows connected.
Replace the template vocabulary, states, and classification with the terms your team uses. Keep data-quality rule and issue registration and quality score, error, impact scope, and remediation-history lookup consistent.
Define who registers, reviews, approves, processes, and confirms completion, plus the conditions that trigger rejection or reprocessing in rule execution, issue assignment, root-cause analysis, remediation, and validation handling.
Decide what accuracy, completeness, timeliness, and issue-sla reporting should measure, then connect any SSO, messaging, or adjacent-system integration to the related screens and user flow.
Create a separate Data Quality Management System initiative for due-date alerts, owner assignment, approval reminders, and exception follow-up.
Before connecting Data Quality Management System to source data or adjacent systems, define synchronization cadence, failure handling, access boundaries, and audit records.
Extend Data Quality Management System with team, period, and category analysis plus action rules for deteriorating completion or service levels.
Adapt this Data Quality Management System for our team. Ask about our user roles, states, required fields, and approval steps first, then update the requirements, screens, and user flows together.Reduce this Data Quality Management System to an MVP that keeps data-quality rule and issue registration, quality score, error, impact scope, and remediation-history lookup, and rule execution, issue assignment, root-cause analysis, remediation, and validation handling. Move automation and external integrations into separate initiatives.Create a separate initiative on top of this Data Quality Management System for due-date alerts and automatic owner assignment. Keep the connection to the existing screens and user flow.Yes. The complete HTML opens in a browser for review and sharing. To adapt the plan, attach the SOT JSON to Claude or Codex with the VibeSpec plugin and describe the change in plain language.
It includes data-quality rule and issue registration, quality score, error, impact scope, and remediation-history lookup, rule execution, issue assignment, root-cause analysis, remediation, and validation handling, and accuracy, completeness, timeliness, and issue-sla reporting, plus foundations for access, audit history, notifications, and integrations.
The HTML is a complete planning document for reading and sharing. The SOT JSON is source data that VibeSpec can update while keeping requirements, features, screens, and user flows connected.
For a discrete capability such as automation, integration, or additional analytics, create and review a separate initiative before changing the product plan broadly.
WORKFLOW