Modern Quality Assurance: How to do customer service QA the right way
Make agent QA both effective and efficient by blending AI and human expertise.
In line with EdgeTier’s key themes of increasing team productivity while delighting with data, this release delivers major new functionality into the platform. Limitless Reporting provides ultimate flexibility in analysing how and why customers contact, as well as allowing you to deeply understanding the performance of your customer service team. The new Notes functionality allows…
In line with EdgeTier’s key themes of increasing team productivity while delighting with data, this release delivers major new functionality into the platform. Limitless Reporting provides ultimate flexibility in analysing how and why customers contact, as well as allowing you to deeply understanding the performance of your customer service team. The new Notes functionality allows team members to communicate over long-running tickets more effectively, while the introduction of keyboard shortcuts places the ability to handle queries at lightning speed at your team’s fingertips. Coloured chats further improves the quality of chat interactions by reducing the possibility of mixing up different chats. Read on for more details.
New reporting functionality has been added that allow a huge range of reports to be viewed, edited, and created. This is an extremely powerful feature that will allow you to analyse almost all data available in the database. With this new functionality, building reports on any combination of interactions, skills, languages, handling times or any other metrics is possible, to answer questions such as:
Reports can be shared amongst all Administrators and Team Leads by being made “public”, or users can create their own private reports. Reports are also grouped into categories that can be created and edited to keep everything nicely organised.
Arthur will arrive with some default reports out of the box. Feel free to edit or delete these as you see fit. The reports are currently limited to producing tables, but we will be adding charts to this too. Lots more metrics and items to report on will also be added over time.
In many situations, it is useful for users to leave notes on a call, chat, or email. This may be to help agents in future handle a query better when the customer replies or for reference for anyone reviewing a case. In EdgeTier, all users can now leave notes in Arthur from the chat, email, and search screens.
These notes will appear as part of a query’s history on the search screen or history tab on email and chat.
In EdgeTier, agents can now process chats and emails from start to finish without reaching for their mouse and purely through their keyboard. The effective use of keyboard shortcuts leads to significant leaps in productivity, saving time between mouse movements and keyboard/mouse switches.
EdgeTier has added the most commonly used keyboard shortcuts to the chat and email screens. Keyboard shortcuts can dramatically speed up handling times. The enabled set of shortcuts are:
Screen | Action | Windows | Mac OS |
---|---|---|---|
Chat & Email | Focus on chat/email input | ctrl+m | ctrl+m |
No action required | ctrl+shift+enter | cmd+shift+enter | |
Switch option tabs | ctrl+alt+number | cmd+option+number | |
Send email | ctrl+enter (or ctrl+e) | cmd+enter (or cmd+e) | |
Chat | Switch chat | ctrl+alt+up and ctrl+alt+down | ctrl+alt+up and ctrl+alt+down |
Chat | End chat | ctrl+e | cmd+e |
Stay tuned for more updates on this. We’ll be adding more shortcuts for the next-most-common activities over time along with an inbuilt user guide to encourage uptake by advisors.
As an agent handling customer queries, it can be easy to lose your place as you constantly switch between multiple chats. With this update, each chat has a different colour to more easily differentiate between them.
As always with EdgeTier, we welcome feedback and input on any and all features as we add and improve the system. Stay tuned on our blog here and on our email list for the next set of updates and features.
Make agent QA both effective and efficient by blending AI and human expertise.
With our data-driven QA review process, there’s no more wasting time manually sifting through agent conversations.
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