How can I test a saved search alert that sends an ...
# ask-stanley-ai
u
How can I test a saved search alert that sends an email when the search sends if no results
c
AI generated answer (using internal Slack threads):
To test a saved search alert that sends an email when the search sends if no results, you can follow these steps: 1. Create a Saved Search with criteria that you know will return no results. This can be done by setting up a condition that you know will not be met. For example, if you have a field that always has a value, you can set the criteria to be when that field is empty. 2. In the Email tab of the Saved Search, check the box for 'Send Email Alerts When Records are Created/Updated'. 3. Add your email address to the recipient list. 4. Save the search. 5. Create or update a record that meets the criteria of your Saved Search. Since we set the criteria to return no results, this step might not be necessary. 6. Check your email to see if you received an alert. If you do not receive an email, there are a few things you can check: - Verify whether the email was triggered and sent to you. You can do this by going to Setup -> Company -> Sent Email List. - Check your ID in the bounced email address list. You can do this by going to List -> Relationships -> Bounced Email addresses. - Check the employee record, remove the email id, save, then enter the email id again, save and then recheck if the issue resolves. If none of these steps work, as a last resort, it might be worth recreating the search from scratch. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.849032521
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.837204278
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.837137341
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