Use Case: QC Review

Quality control for relevance review

This video demonstrates how to use Noticia Go for quality control of document relevance decisions, with a focus on content related to energy and climate policy. The walkthrough shows how to apply AI to re-check initial calls on whether a document is relevant or not, based on a defined review criterion. The video also covers how to optionally include a short explanation for relevant documents to support downstream reporting or summaries. A final manual review is recommended to confirm AI results before use.

How Noticia Go helps with QC review

Noticia Go can be used to re-evaluate document relevance by applying a structured prompt aligned with your review criteria. This helps verify consistency across reviewer decisions and can surface discrepancies for further attention. Optional justification output adds transparency and supports later summarization or reporting. Integrating AI into the QC process can reduce manual effort while maintaining review quality.

Sample QC review prompt

Review the following document and determine whether it is relevant based on this criterion: The document discusses energy or climate policy in a meaningful way (e.g., proposals, positions, actions, impacts, or stakeholder communications). Return only one of the following responses:

Relevant — if the document contains substantive discussion of energy or climate policy.
Not Relevant — if the topic is not mentioned or only referenced in passing.

— For Additional Detail

If Relevant, include a short (1-sentence) justification summarizing what aspect of energy or climate policy is discussed.