> For the complete documentation index, see [llms.txt](https://docs.sealights.io/knowledgebase/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sealights.io/knowledgebase/whats-new/august-2026/coverage-analysis-share-it-scope-it-trust-it.md). # Coverage Analysis: Share It, Scope It, Trust It Coverage Analysis gets four new capabilities, making it easier to get the right data to the right people, define exactly what matters to your team, and ensure your data is always clean. ### What's New #### **Export your coverage data, your way.** Choose between two export formats, each built for a different audience. The **PDF export** turns any view into a polished, ready-to-share report - perfect for sprint reviews, release sign-offs, or stakeholder updates, with no reformatting required. The **CSV export** puts raw, method-level coverage data in the hands of engineers and data teams who need to dig deeper, identify specific gaps, or feed results into external dashboards. #### **Saved Scopes now support every filter.** You can already define reusable scopes by App and Branch. Now **Lab** and **Code Label** are supported too - in any combination. Define your scope once, and apply it across every sprint view, release view, and monitoring view. No more re-configuring per view, no more drift between teams looking at slightly different slices of the same product. #### **Ignore Rules just work.** Any Ignore Rules you've already configured in SeaLights are automatically honored in Coverage Analysis - no new builds, no extra setup. The exclusions your team has decided on are always reflected, everywhere, without any additional effort. ### Why It Matters Coverage data is only as useful as your ability to act on it. These additions remove the friction between insight and action: share results in the format your audience actually needs, scope your views to match how your team works, and trust that the data you see has already been filtered the way you intended. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.sealights.io/knowledgebase/whats-new/august-2026/coverage-analysis-share-it-scope-it-trust-it.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.