> For the complete documentation index, see [llms.txt](https://docs.intersectmbo.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.intersectmbo.org/intersect-knowledge-base/intersect-membership/intersect-voting-events/intersect-elections-2025/october-2025-committee-elections/april-2025-committee-election-results/voting-results-audit-info.md). # Voting Results - audit info The audit of the Committee Elections was conducted by the DQuadrant team, following a rigorous verification process to ensure accuracy and integrity. This included validating the data integrity of the vote exports (CSV and JSON), checking that each vote record met the required schema fields, and confirming voter eligibility by verifying membership status and purchase dates relative to the registration snapshot. The team also reviewed the timing of all votes to ensure they fell within the authorized voting window. Finally, DQuadrant independently tallied all valid votes by candidate and reconciled their results with Intersect’s internal counts to confirm full alignment. {% embed url="" %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.intersectmbo.org/intersect-knowledge-base/intersect-membership/intersect-voting-events/intersect-elections-2025/october-2025-committee-elections/april-2025-committee-election-results/voting-results-audit-info.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.