Peakon’s predictive analytics helps Human Resources (HR) and people leaders learn what matters most to employees at every stage of their employment.
Peakon provides a detailed overview of your employee journey from onboarding to exit through employee phases reports. Identify the aspects of your employee experience that need addressing, understand the impact on engagement and retention, and target your initiatives to drive improvement. If you are configuring the employee phases, see Overview of the employee experience cycle.
This article covers:
Overview of the reports
The Experience cycle reports are available to all users with a team dashboard. Reports will only populate when there is enough data to show. They take into account the data aggregation settings and attributes settings set by the administrator of the account.
Every phase report contains the following areas to understand who is part of the phase and what areas to focus on in order to improve your teams' engagement.
The platform will show a list of highlighted drivers that are above or below benchmark. Special focus should be placed on improving those drivers falling below the benchmark. These are not the same as priorities and strengths on the dashboard.
This is the list of included segments within the phase. Click on these segments to open up the dashboard view from where you can click on the “View as segment” to access a more detailed view of the segment along with its comments, topics, and priorities.
Engagement score and Benchmark
An average engagement score for the particular employee experience phase. This is calculated by averaging out the engagement scores of all individual employees in the phase. To understand the benchmark applied, click on True Benchmark.
The promoter, passive, detractor breakdown for the phase. This is based on the engagement score, ie. if an employee's overall engagement score is an 8, they are considered a 'passive'.
Participation information along with a list of employees that were surveyed and the score accuracy rate. Even though the list of employees surveyed is visible, the platform maintains their feedback confidential. Note that these numbers will be shown according to the context that is selected in the left menu and the last survey date of the employees in that particular context. The latest round can be found at the top right corner of the report itself.
Analyzing the four employee phases
Collect and review onboarding, engagement and exit
You can gather additional insights into the onboarding and off-boarding experience of your employees, by targeting onboarding and off-boarding questions to all new-starters and leavers, respectively. This will help you collecting additional data that will be reflected in the onboarding phase of the cycle.
You can use this report to understand if your new hires are feeling welcomed and if the onboarding process is working as it should, or if it needs improvement going forward.
Understand what keeps your team engaged
With the ability to focus on initial and ongoing development employees, you have the possibility to understand what keeps your employees engaged or prioritize areas that are impacting their retention within the business. Peakon recommends looking at the highlighted drivers of performance and deep-diving into the segments involved.
Forecast your attrition risk through the reports
With the experience cycle, you can predict costly attrition before it happens and delivers insights into the possible reasons why. Our Attrition Prediction model estimates the attrition risk for each of your employee populations in real-time. Check out Understanding Peakon's Attrition Prediction model to learn more about it.
Uncover the real causes of employee turnover
You can use your separation phase report to understand the actual reasons for turnover, by looking at the summary provided by Peakon together with highlighted drivers. Additionally, you can click on the segments involved, to open the specific segment's dashboard and collecting additional detail such as topics, comments, and review scores over time.