Auto-Match Findings, now on the Level Access Platform, makes scan results more practical and actionable
Automated scans can produce hundreds of findings across your digital properties. Managing these findings and determining which are new, which are resolved, and which to prioritize has just become easier than ever.
Introducing Auto-Match Findings
Our newest platform feature, Auto-Match Findings takes the results from an automated scan, and provides more context and clarity. With it, you have greater visibility to the history of your accessibility findings, new findings that appear, and more control to prioritize and fix them. Included with our automated scanning technology, Auto-Match Findings help accelerate your digital teams.
With Auto-Match Findings, our automated scanner is able to identify and automatically match findings that it has seen before. In other words, Auto-Match Findings can tell if an issue was identified in an earlier scan and group the results as a single issue. This enables our automated scanner to now:
- Group the same issue from the same page as a single issue, no matter how many times it’s found
- Automatically detect when a finding is no longer matched and automatically close the related finding
- Indicate new findings automatically so you always know which issues are fresh and need actioning
These capabilities deliver substantial value to the digital teams monitoring and remediating digital accessibility issues:
- Issue lifecycle tracking.
Automated scanners traditionally just show a list of findings without any context. Is this item new? Have you seen it before? How long has it been present? Context-less findings weren’t able to help you understand the history and lifecycle of an issue. Auto-Match Findings provides this lifecycle context. This feature indicates when the issue was first introduced, how long it has been open, every time it was seen in a scan, and when it was resolved. This visibility to an issue’s lifecycle will enable you to compare results from scan to scan, benchmarking improvement over time.
- Identification of new findings.
An automated scan without Auto-Match Findings treats each scan independently so it’s up to the user to reconcile one scan to the next. It will not flag new errors, which can impact whether you notice them in your running list of errors, or how you prioritize fixing them. Now, Auto-Match Findings takes these scan results and clearly labels new issues so they are not missed. With this label, project and product teams can quickly sort findings, review their impact, and prioritize how they want to address them.
- Dismiss false positives.
When reviewing automated scan findings, organizations will sometimes identify issues as false positives. For example, an image without ALT text will flag an automated scanner even if it’s purely decorative. In that case, without Auto-Match, these issues would show up in scan after scan. With Auto-Match Findings, you have the ability to mark an issue as a false positive, which prevents it from being raised again. Reports are cleaner and more actionable for the development team.
- Automatically closed findings.
With Auto-Match Findings, the platform will automatically recognize you’ve corrected the issue and close it for you, simplifying operations and saving your team time.
Watch this video for a quick walkthrough of our Auto-Match Findings feature.
Level Access Platform
Auto-Match Findings is just one of the many features of the Level Access Platform, empowering your team to more clearly and quickly identify and correct accessibility issues. To see a demo of the benefits and capabilities of our comprehensive platform, reach out to our team today.
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