Favicon updates are famous for looking broken even after the file has changed. Browsers, operating systems, pinned tabs, manifests, and search previews can all cache icons aggressively.
For teams working on favicon and app icon production from Figma, the useful question is not just “which tool exports this?” It is “what has to be true before this asset, file, or review flow is safe to ship?” Favvy is useful because it helps turn Figma work into favicon, app icon, manifest, and website icon packages, but the quality still comes from a clear workflow.
What to Check
- Change filenames or add versioned paths when replacing important favicon files.
- Update HTML link tags, manifest references, and any pinned-tab or platform-specific icon paths.
- Confirm the deployed files are in the expected public path and not only updated locally.
- Test in a private window, another browser, and a device that has not cached the old icon.
- Check PWA install icons separately from browser tab favicons.
Common Mistakes
- Replacing favicon.ico alone may not update Apple touch icons, manifest icons, or pinned tabs.
- CDNs and service workers can cache old icon files even when the browser cache is cleared.
- Search engines and social previews may update on their own schedule.
A Practical Workflow
Favvy can generate the updated icon package, but cache busting and path updates are what make the new favicon actually appear for users.
Start by preparing the Figma source file with real content, clear naming, and the constraints that matter for production. Then run a focused review against the checklist above before exporting or sharing. That keeps the work from turning into a last-minute cleanup job.
When This Matters Most
This matters most when the work is repeated, client-facing, compliance-sensitive, performance-sensitive, or likely to be reused by another team. One-off manual fixes can survive on memory. Repeatable production work needs a documented process.
Next Step
Use this checklist alongside the relevant Favvy tutorial or product workflow, then review Favvy when you are ready to make this process faster inside Figma.
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