Measure your team’s performance with Activity
Gain powerful insights from your engagement data, and enhance team reporting.
What can I get out of Activity?
Agent activity in Lexer Engage is recorded and stored in Lexer Activity. This tool has been designed to make reporting on your team super simple, so in this article we’re going to dive into the ways you can use each Activity report to help you find the one that best fits your reporting needs.
If this is your first time using Activity, first check out our Introduction to Activity to familiarize yourself with the basics.
Volume of overall Engage Activity
Volume of responses
To gain insight into the volume of customer service engagements from start to finish, head to the Cases report. If you’re looking to report on the volume of individual interactions, head into the SLA Report.
Cases combines all interactions with the same customer, and considers them all to be a single engagement, which is how it differs from the SLA report, which looks at interactions with individual objects.
Read more about Classifications here.
Customer wait time
How long is it taking to get back to customers? The SLA and Cases reports are the key to finding out. At first glance, you’ll see the latest interactions, filtered by your chosen team/agent, and timeframe. Export the data from the tables at the bottom of each of these report pages to conduct your own analysis on the raw data.
The SLA report is a way of measuring the performance of your agents against an SLA benchmark. You can then use these benchmarks to build a report that shows when your agents responded to content, and determine whether this was an appropriate timeframe. The default Lexer SLA benchmark is 2 hours, meaning agents have two hours to begin an engagement. Contact Lexer Support if you’d like to update the SLA.
The ‘Responses’ table in the SLA report is one of the most informative areas of Activity, as each line in the table represents a single customer service interaction. Each interaction is accompanied by data on the agents’ response time, wait time, time sitting in the Inbox, and includes a second SLA time set on agents (Agent SLA time).
Click on each object to open up customer service interaction screen. You can use this to witness the full customer service interaction history, as well as send messages to the customers, and leave notes on objects if needed, without having to navigate back to Engage.
An export from this chart will provide you with rich details about the objects, such as customer names, dates, agent names, and topics assigned over time. This makes a really valuable chart for various types of analysis in external applications like Excel.
The Team report is the fastest way to understand of what your team are currently working on. It provides you with tools to alternate between teams and time ranges, to learn the differences in workflow States by agents over time, so you can ensure engagements are being resolved.
Here you’re given chart of all messages being handled by agents across the given time range, which can be used to easily understand how much an agent has on their plate at any given time. Handy for finding any remaining, or forgotten messages - the colors of the bars represent the States of objects, as seen in the legend.
The tables at the bottom of the Team report give a deeper understanding of how your team are progressing in the selected timeframe, and how they compare against one another. The metrics show:
|Team data||A breakdown of objects handled by each agent. This includes percentile representations of how many of these objects were being handled, how many were done so privately, whether they were within your SLA, customer wait times and agent response times.|
|Over Agent SLA||A table that summarizes how many objects your agents have handled outside of the team’s SLA. This table can quickly summarize slow agent activity, or simply highlight where content may have slipped through.|
NPS reports are used to learn about the quality of customer service engagements. To see data on this report, NPS surveys must be submitted by agents during interactions. Find out more about setting up NPS surveys here.
Check out our guide to Lexer NPS to learn more about the metrics you see on this report.
Build benchmarks based on NPS scores from your customers
Most teams will have their own KPIs or benchmarks set for NPS scores, and every engagement may not be measurable, as no two meaningful engagements are identical. By promoting a healthy use of NPS surveys, and allowing time for the data to grow deeper, you’re allowing yourself a more accurate range of data to set benchmarks in.
Through Cases, you can export every customer engagement over a period of time. Included in this export are two data points - “NPS sent”, and “Case Classifications.” Combine these two data points to sort through the topics of interactions that have had NPS surveys sent to them.
Knowing this will help you keep tabs on the kind of interactions that your agents choose to send surveys to, allowing you to stay ahead of the curb on what topics may be earning your agents’ promoters.
NPS in Identify
Query your NPS data in Identify to discover more about the demographocs of those that submitted them.
Keep track of agent actions
The Security log is a complete log of actions made by your agents inside Lexer’s products. Use the security log to understand who has, or has not been performing actions, engagements, and creating important edits to Workflow tools.
1. A complete log of Agent actions in our products
The Security log is a non-exportable breakdown of all actions performed by users. Every action generates a log, such as responding to an object, or applying a Classification. Actions that are logged include, but are not limited to:
|Mention Updated||Applying Classifications|
|IdentityScratchPad||Leaving an Identity Note|
|Group Updated||Editing a group setting in the Administrative side of the dashboard|
|Content Created||A reply to a customer has been sent|
|Notification Sent||Notifications on Saved Dives have been triggered|
Commonly, these items are used to work out if agents are active in the product beyond simply responding to customers. It’s also change log of Saved Dives and filters, so if you find a search has changed recently, you can find out who changed it here.
2. Filter for specifics
In the search filter, you can search for actions, agents and teams. This gives you a very specific breakdown of all of the actions performed, showing complete platform transparency.