In today's world of DevOps and fast software release cycles, there are outages and issues that happen every now and then in your own infrastructure. Many of these outages are customer facing and severely impact customer experience, resulting in the creation of new support tickets from customers.
Iris with PagerDuty app surfaces any outage or incident in your infrastructure that is causing support tickets. For every ticket, we show if there are any matching ongoing outages based on our novel machine learning platform.
This can help you in the following ways:
Resolve tickets more quickly.
Estimate the support impact of every outage in your infrastructure.
Proactively manage customer support, manage customer expectations and build customer loyalty.
Using NLP and AI techniques, we detect older tickets with the same reason and resolution so that you don't have to reinvent the wheel every time. This can greatly help you reduce your MTTR (Mean Time to Resolution) for tickets.
See Search results from the Help Center without leaving the ticket page
Spend less time searching for answers and find the best matching articles to help resolve the ticket faster
See automatically generated tags for granular product features and ticket reasons. With analytics built-in, discover insights like which product features get most 'how-to' tickets.
Know the sentiment score for every ticket and predict and prevent customer escalations.
Discover features being talked about most negatively and improve documentation and potential bugs.
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