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daniel.boon
Helper ⭐️⭐️⭐️
February 5, 2021

Guide to the Self-Service Dashboard

  • February 5, 2021
  • 11 replies
  • 1044 views

Currently the self-service dashboard only supports tickets where Zendesk is the source.

Let us know in the replies if you use another Helpdesk and would also like to report on your self-service performance with this dashboard.

The self-service dashboard shows the proportion of your customers that are able to help themselves with help content, without having to talk to your support team via a ticket.

With this dashboard, you can see whether you’re enabling greater self-sufficiency amongst your customer base, or whether customers are still spending a lot of time dealing with the back-and-forth of support.

Value metric: Self-service score

The value metric for the self-service dashboard is self-service score. We believe that this metric is a leading indicator for NPS (users can solve problems quickly, without having to wait for a support agent). Plus, you’ll save on the time that your support team needs to spend on one-to-many issues, giving them the space to help customers with 1-1 problems that need human intervention and to support customers on a more tactical level.

The calculation is: Total unique visitors who viewed help content / Total unique users who created tickets. A good self-service score depends on your industry (for instance, B2B companies tend to have a higher self-service score than B2C companies) - see this article by Zendesk to go deeper on this.

Metric reference: Self-service dashboard

This table explains in detail how each metric shown on the self-service dashboard behaves, and any limitations or behaviours to watch out for.

 

Metric Description Extra Details
Self-service score The ratio of unique visitors who viewed help content to unique users who created a ticket in the selected time period.

Calculation: count of unique users who viewed self-service content / count of unique users who submitted support tickets.

Ticket data is imported via your external helpdesk software.

Unique visitors who viewed help content The number of unique visitors who viewed an article, question with a best answer, or a conversation on the community in the selected time period.

Page views on topics that have been trashed/marked as spam not considered when calculating unique visitors.

We make an assumption that conversations/articles are more likely to help users than a question without a best answer marked. However, when a question has a best answer marked, then all views on that question are counted, even those before the answer was marked.

Both logged-in and anonymous visitors are included. Visits from different devices are counted as separate, unique visitors. 

Page views from bots are automatically excluded when calculating unique visitors.

Unique visitors who viewed help content % change The percentage difference between the number of unique visitors who viewed help content in the current/previous time period. -
Unique users who created tickets The number of unique users who created a support ticket in the selected time period. Ticket data is imported via your external helpdesk software.
Unique users who created tickets % change The percentage difference between the number of unique visitors who created tickets in the current/previous time period. -
Self-service and helpdesk user trends Unique visitors who viewed help content and unique users who created tickets over time, shown on a daily interval.  

 

Filters

Use the following filters to adjust how the ‘unique visitors who viewed help content’ metric is calculated (and therefore your self-service score).

  • Published in: choose which categories and/or groups should be included when calculating unique visitors.
  • Content type: choose which content types should be included when calculating unique visitors  (available options: article, answered question, conversation).
  • User role: choose which primary or custom user roles should be included when calculating unique visitors.

    11 replies

    adam.ballhaussen
    Helper ⭐️
    May 9, 2022

    @daniel.boon I hope you’ve been well! I saw the recent tracking improvements to the Audience Dashboard (kudos @Alex Campos 👏)

     

     

    The ability to track Registered unique visitors vs. Guest unique visitors on the Audience dashboard got me thinking… could this same tracking functionality be applied to the Self-service dashboard to help us achieve the use case we outlined in this thread?

     

    My thoughts

    The Self-service Dashboard currently displays the following data:

    • Self-service score
    • Unique visitors who viewed help content
    • Unique users who created tickets
    • Self-service score monthly trend (for selected time period)
    • Self-service and helpdesk user daily trends (for selected time period)

    It would be great if the Self-service dashboard could also show trends for registered users vs. non-registered users, similar to what’s now available in the Audience dashboard:

    • Self-service score for registered users
    • Unique registered visitors who viewed help content
    • Unique registered users who created tickets
    • Self-service score monthly trend for registered users (for selected time period
    • Self-service and helpdesk user daily trends for registered users (for selected time period)
    • Self-service score for non-registered users
    • Unique non-registered visitors who viewed help content
    • Unique non-registered users who created tickets
    • Self-service score monthly trend for non-registered users (for selected time period
    • Self-service and helpdesk user daily trends for non-registered users (for selected time period)

    This would help us understand behavior of customers who have registered for the community vs. customers who haven’t to identify trends in each of these audiences and determine where we should be focusing our efforts.

     

    Current self-service dashboard
    Current audience dashboard

    I know it’s a bit duplicative, but I created an idea where I copied my thoughts from above. Here’s the link:

     

     

    @Gabolino @DannyPancratz what do y’all think?

     

    CC: @erin.brisson 

    Adam B.