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Peakon
Last Updated: 2025-02-21
Concept: Keyword Topics for Comments

Concept: Keyword Topics for Comments

Workday Peakon Employee Voice (Peakon) uses machine learning algorithms to analyze comments and identify important themes and issues, grouping them into topics. Topics help you manage high comment volumes and act on feedback regardless of the size of your organization.
Topics are:
  • Actionable and in context. Example: An
    Additional Training
     topic from the
    Accomplishment
     driver can require different action compared to the same topic from the
    Peer Relationship
     driver.
  • Supported by translations into multiple languages.
  • Insightful. Peakon uses text analytics to extract real meaning from comments. Example: Low priority on common words with little or no meaning in answers and questions. Peakon only generates topics where the words have meaning in a driver context.
  • Summarized by displaying the most representative lines from one or multiple comments to provide you with an overview of the meaning of the topic.
  • Highlighted based on actionability, enabling leaders to focus on what's most important to their teams.

Viewing Topics

The
Topics
 page is available in the
Insights
 menu for all managers with access to comments. To be eligible for topics, a segment must have more than 200 comments in 1 language across all kinds of question sets over the last 3 months.
Each topic available in the
Topics
 page includes:
  • The topic theme: when the same words display in topics, Peakon groups the topics into themes. Example:
    Personal Development
    . Each driver can have a maximum of 3 themes. If the analysis generates more than 3 themes in a single driver, these themes display as single topics.
  • The topic extract: a paragraph of the sentences that are most indicative of all the comments that make up a topic. Example:
    I feel like my personal development has stalled in recent months … It feels like the personal development and career path of certain people is favored.
     The extract gives you insight into a broad conversation at a glance.
  • The topic score: The score of each topic is the average of all scores from the comments in that topic. The scores provide an indication of the general sentiment towards that topic.
Peakon highlights certain topics to help focus your attention.
Highlighted Topic Category
Description
High scoring
The topic with the highest average score, informing managers of the aspects of work employees are most satisfied with.
Low scoring
The topic with the lowest average score, informing managers of the aspects of work employees are least satisfied with.
Most comments
The topic with the highest number of comments, informing managers of the themes on employees’ minds or of the most frequent words/language within employee comments.
Consistent comments
The topic made up of comments repeated in different survey rounds over time, informing managers of consistent themes coming through employee comments over time.
Comment spike
The topic made up of a large number of comments within a short period of time, informing managers of emerging themes from a one-time event or question.