Sometimes, working with your tech stack can feel like setting up an intricate chain of dominoes. If the conditions are optimal, everything is safe. But the second a breeze comes through, you get startled, or you put one domino too close to another, one domino gets nudged, and the whole thing goes down.
This domino effect can cause a serious ripple of negative impacts throughout your sales, marketing, and CX teams, hurting your whole go-to-market force. Suddenly, reports start breaking, automations stop working… It's giving us nightmares just thinking about it.
When things like this happen, it’s up to your mighty ops team to reverse-engineer the problem—find out what went wrong and where, fix it, and ensure it never happens again. But if you’re reading this blog post, you know that’s easier said than done.
Sometimes, searching for the source of your problem can make you feel a bit like Sherlock Holmes—except, my dear Watson, it’s not elementary at all. But with a Change Intelligence platform, you’ll solve the mystery in no time.
Using a Change Intelligence platform like Arovy takes the hard work out of reverse engineering:
No one likes a mysterious error in Salesforce, and Briq’s RevOps manager, Nic, unfortunately, experienced one of these mysteries firsthand. He received an email with this error:
Error occurred during flow… Apex CPU time limit exceeded.
Confused? Nic was too. As a seasoned RevOps pro, he noted that the process appeared to be running in his Salesforce org, but the impacted process hadn’t been modified in days. Within Salesforce, the error message said it was started by his integration user. Another clue… maybe it was something coming from another tool, but what?
Turning to Arovy was Nic’s immediate next step. With our Timeline feature , Nic took a look at the day the error began in order to see what may have changed. All of the changes listed wouldn’t have caused any issues, so that was Nic’s next clue that the issue wasn’t in Salesforce, but something connected to it, instead.
That knowledge helped Nic identify the issue faster since Arovy supported his gut feeling that the issue was something connected and sending data to Salesforce. Without Arovy’s help, Nic would have taken significantly longer to dig through his org’s Process Builders and Flows manually, and more errors could have stacked up in the meantime.