{"id":21918,"date":"2025-02-21T06:00:51","date_gmt":"2025-02-21T14:00:51","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/azuregov\/?p=21918"},"modified":"2025-04-15T14:36:25","modified_gmt":"2025-04-15T18:36:25","slug":"successfully-leveraging-stakeholder-feedback-with-comment-analytics","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/azuregov\/successfully-leveraging-stakeholder-feedback-with-comment-analytics\/","title":{"rendered":"Successfully leveraging stakeholder feedback with Comment Analytics"},"content":{"rendered":"

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Agencies in the U.S. federal government publish an average of 3,700 proposed rules yearly, <\/span>according to the U.S. Government Accountability Office<\/span><\/a>.\u00a0 With each proposed rule, agencies generally provide an opportunity for stakeholders and members of the public to submit comments before the rules are finalized.\u00a0 In some instances, thousands of comments are submitted, with no consistent government-wide process for intaking, analyzing and reporting the findings. A similar dynamic exists in the private sector, where organizations regularly solicit and analyze feedback and comments from customers to improve products and services.<\/span>\u00a0<\/span><\/p>\n

To harness the power of feedback effectively, Microsoft Federal\u2019s customer success team developed a robust solution for Comment Analytics. The solution identifies, extracts, and analyzes aggregated comments to identify and report key insights. The following blog details the approach the team followed, along with a link to the code, shared in our repository.<\/span>\u00a0<\/span><\/p>\n

Discover themes, sentiment and suggestions\u00a0<\/span>\u00a0<\/span><\/h3>\n

The solution we\u2019ve developed provides users with insights by understanding stakeholder perspectives across a series of elements. It can be leveraged for any scenario where you need to extract insights from multiple documents related to a particular topic (e.g. Loan documentation, contract documents, project proposals, and public rulemaking) and do further analytics. Key areas of insight that can be analyzed include:<\/span>\u00a0<\/span><\/p>\n