While the Funnel view helps you prioritize issues, the All Issues view lists all outstanding issues, and allows you to sort, filter, and search for issues of interest. We recommend using the Funnel as your primary view when triaging issues, and All Issues as a supplementary view. The All Issues view is useful for retrieving a specific issue, or uncovering a subset of issues with similar characteristics.
You can adjust the table to show issues with occurrences within a given analytics period by selecting an option from the dropdown menu at the top-left. Options are the past day, 7 days, 14 days, 30 days, and 90 days.
Once you find the issue you're looking for, click on the issue's title to open the Issue Details page.
Users often notice issues with a similar root cause, or multiple issues isolated to the same workflow or page. Through the Labels column, you can tag an issue with one or more labels to group issues with similar properties. This makes it easier to apply filters to retrieve issues with specific characteristics.
There’s no limit to the number of labels you can apply to an issue. You can also create a new label from the All Issues table by clicking the icon.
You can zero-in on issues with specific characteristics by applying filters. The menu of filters is accessible through the icon in the top-right corner. You can apply multiple filters to narrow results as much as possible.
Each filter applied appears in the table's header. To remove a filter, click the .
The available filters are:
- Priority: Filter issues by priority–Low, Medium, High, or Unprioritized.
- Assignee: Filter issues by assignee. Select a user or show unassigned issues.
- State: Filter issues by state–Open, In Progress, Closed-Fixed, Closed-Ignore, or Unset.
- Label: Filter the table to show issues with a specific label. You can apply multiple label filters to pull issues that meet multiple criteria.
- Operating System: Filter the table to show issues with >80% of occurrences on a given operating system.
- Browser: Filter the table to show issues with >80% of occurrences on a given browser.
- Resolution Likely: Filter the table to only show issues with historical data that supports their resolvability. Learn more about Resolvability.
- Insight: Filter the table to show issues with a specific insight. An insight is an attribute that describes the nature of the issue, like Has Stacktrace, No Conversion, or Invalid Coupon.
- Impact: Filter issues by the assigned impact–User Impacting, Benign, or Uncategorized.
- Annual Revenue Loss: Filter issues by the annualized revenue loss. You can set a high and/or low limit. For example, you can apply a filter to show issues where Annual Revenue Loss > $10,000, or where Annual Revenue Loss is $10,000-$50,000.
- Leads Lost: Filter issues by number of leads lost. You can apply a high or low limit, or set a range. For example, you can apply a filter to show issues where Leads Lost > 1000, or where Leads Lost is 1000-10,000.
- Users Impacted: Filter issues by number of users impacted. You can apply a high or low limit, or set a range. For example, you can apply a filter to show issues where Users Impacted > 1000, or where Users Impacted is 1000-5000.
- Created At: Filter issues by creation date. Select a timezone, and set a timeframe to examine. For example, you can apply a filter to show issues created before July 19th at 9:00 AM, or issues created between July 19th at 9:00AM and July 20th at 9:00AM.
- Last Seen: Filter issues by the date and time it was last seen. Select a timezone, and set a timeframe to examine. For example, you can apply a filter to show issues last seen between July 19th at 9:00AM and July 20th at 9:00AM.
- Closed Fixed At: Filter issues by the Closed-Fixed date. This refers to the date on which an issue was moved to the Closed-Fixed state.
- Error Source: Filter the table to show errors with a specific origin. Learn more about Error Sources.
This list of filters is slightly different than those in the Session Search table. Learn how to Filter Sessions.
Below are some common uses for the All Issues view:
- Pull issues created after a certain date. This is useful to check if any new issues were created following a product launch.
- Pull issues in the Closed-Fixed state. This is useful to check that resolved issues have stopped occurring by looking at the Last Seen column.
- Pull issues that cause a significant revenue loss and affect a significant user pool.
- Pull issues that meet two or more criteria, like:
- Issues that are medium priority AND are tagged with a specific label.
- Issues that are First Party Errors AND have resulted in annual revenue loss over $10,000.
- Issues that are User Impacting AND have resulted in over 1000 lost leads.
Learn more about the Funnel, Issue Trends, and Session Search.