Purpose

This page introduces you to the Overall Usage and Scheduling tabs of Eightfold (EF) Talent Acquisition (TA) Feature Usage & Outcomes Dashboard. This'll give you a high-level cover of usage across all TA modules.

Usage tab

Audience

The target audience is users of the dashboard, including the Head of Talent Acquisition, Talent Ops, Eightfold Admins, Recruiting Managers and Recruiters.

Filter controls

Dashboard filter controls can be used to refine or subset the data shown in the dashboard. For example, to select a certain date range or select a particular feature.

Filter controls are located at the top of the dashboard. Filter controls have to be read with context based on the type of tab.

• Activity date From and Activity Date to
  
• TA Module
  
• Active User ID: Email id of the active user
  
• Active user name: Name of the active user
  
• Manager of user: Name of the active user’s manager
  
• Position Job Function: Job function of the position
  
• Position Business Unit: Business unit of the position
  
• Position Location Country: Country where the position is open at

Dashboard Features

There are three key sections of the dashboard

• Overview
  
• User Activity
  
• Raw Data

Overview

• % Employees using the feature:
  The share of current employees (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• % Recruiters using the feature:
  The share of current recruiters (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• % Sourcers using the feature:
  The share of current sourcers (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• % Hiring Managers using the feature:
  The share of current hiring managers (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• Active Users:
  The total number of unique users who are using the feature in the selected timeframe.
  
• Positions acted upon
  Numbers of positions for which the any feature (or selected feature) is used
  
• Candidates acted upon
  Numbers of candidates for whom any feature (or selected feature) is used

User Activity

• Average Weekly Active Users:
  It is the average number of Weekly active users using the features in the selected time frame.
  
• Average Weekly Retention (Repeat Users) %:
  It denotes the percentage of users in a given week who were active in the previous week as well.
  
• Average Monthly Active Users:
  It is the average number of monthly active users using the features in the selected time frame.
  
• Average Monthly Retention (Repeat Users) %:
  It denotes the percentage of users in a given month who were active in the previous month as well.
  
• Overall Activity by User ID
  Activity in the selected time frame at a user level, split by module

Raw data

• A raw data visual gives a deep dive into each activity performed by the users on the platform. Can be downloaded as CSV for further analysis

Scheduling tab

Note: The old dashboard will be deprecated and the a new “Scheduling” tab will appear on the TA Feature Usage and Outcomes dashboard with some additional metrics

Audience

The target audience is users of the dashboard, including the Head of Talent Acquisition, Talent Ops, Eightfold Admins, Recruiting Managers and Recruiters.

Filter controls

Dashboard filter controls can be used to refine or subset the data shown in the dashboard. For example, to select a certain date range or select a particular feature.

Filter controls are located at the top of the dashboard. Filter controls have to be read with context based on the type of tab.

• Activity date From and Activity Date to
  
• Scheduling type: Standard Scheduling, Open Scheduling, Interview Plan and Event Scheduling
  
• Active User ID: Email id of the active user
  
• Active user name: Name of the active user
  
• Manager of user: Name of the active user’s manager
  
• Job Title: Title of the position against which the scheduling activity is done
  
• Position Job Function: Job function of the position
  
• Position Business Unit: Business unit of the position
  
• Position Location Country: Country where the position is open at
  
• Breakdown variable: Group by variable for the tables in the dashboard - User ID, Manager of User, Position Job Function, Position Business Unit, Position Location Country.

Dashboard Features

There are three key sections of the dashboard

• Overview
  
• User Activity
  
• Feature Usage
  
• Raw data

Overview:

• % Employees using the feature:
  The share of current employees (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• % Recruiters using the feature:
  The share of current recruiters (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• % Sourcers using the feature:
  The share of current sourcers (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• % Hiring Managers using the feature:
  The share of current hiring managers (excluding alumnis and external users) using the feature. This metric is a till date metric.
  
• Active Users:
  The total number of unique users who are using the feature in the selected timeframe.
  
• Positions using scheduling
  Numbers of positions for which the scheduling feature is used
  
• Average days to interview:
  This indicates time (in days) between a scheduling request sent and when the interview actually occurs for the meetings scheduled in the selected timeframe.
  
• Total requests sent:
  This refers to the total number of interview schedule or reschedule requests sent to the Candidates in the selected time frame.
  
• Candidate Acceptance Rate:
  The candidate acceptance rate indicates the number of confirmed schedules by candidates or the rate at which candidates accept the scheduling request. Number of candidate schedules confirms/ Total number of interview requests.
  
• Interviewer Acceptance Rate:
  The interviewer acceptance rate indicates the number of scheduled confirmation events by interviewers or the rate at which interviewers accept the scheduling request. Number of interviewer confirm events / Number of interviewers scheduled events

User Activity

• Average Weekly Active Users:
  It is the average number of Weekly active users using the features in the selected time frame.
  
• Average Weekly Retention (Repeat Users) %:
  It denotes the percentage of users in a given week who were active in the previous week as well.
  
• Average Monthly Active Users:
  It is the average number of monthly active users using the features in the selected time frame.
  
• Average Monthly Retention (Repeat Users) %:
  It denotes the percentage of users in a given month who were active in the previous month as well.

Feature Usage

Scheduling Feature usage

• Active Scheduling Users:
  The total number of unique users who are using the feature in the selected timeframe.
  
• Total requests sent:
  This refers to the total number of interview schedule or reschedule requests sent to the Candidates in the selected time frame.

Scheduling Request Type

• Fixed time request:
  These are interview requests that carry a fixed time within the request.
  
• Suggested time requests :
  These interview requests are sent with time suggestions in place.
  
• Candidate choice requests :
  This is where interview requests are sent with the candidate's choice of time.

Meeting acceptance, reschedule & decline rate

• Candidate Response rate:
  
  • Acceptance: The candidate acceptance rate indicates the rate at which candidates accept the scheduling request. Number of candidate schedule confirm events/ Total number of interview requests events
    
  • Reschedule: The candidate reschedule rate indicates the number of candidate reschedule events or the rate at which candidates reschedule a particular interview. Number of candidate reschedule events/ Total number of candidate schedule confirm events
    
  • Candidate Decline:The candidate decline rate indicates the number of candidate decline events or the rate at which candidates decline a particular interview. Number of candidate schedule decline events/ Total number of interview requests events
    
  • Meeting Cancellation: % of invites cancelled by the scheduler
    
  • No Response: % of invites where no response was recorded from the candidate
    
• Interviewer Response rate:
  
  • AcceptanceThe interviewer acceptance rate indicates the number of scheduled confirmation events by interviewers or the rate at which interviewers accept the scheduling request. Number of interviewer confirm events / Number of interviewers scheduled events
    
  • Decline: The interviewer decline rate indicates the number of interviewer decline events or the rate at which interviewers decline a particular interview.Number of interviewer confirm events / Number of interviewers scheduled events
    
  • Meeting Cancellation: % of invites cancelled by the scheduler
    
  • No Response: % of invites where no response was recorded from the Interviewer

Candidate Assistance

• Candidate assistance requested meetings:
  The total number of meetings where the candidates have requested assistance.

Raw data

The raw data visuals contain

• User Level Scheduling data
  
• User Level candidate meeting response data
  
• Position Level Scheduling data
  
• Position level candidate meeting response data

FAQs

1. Where does the Manager of the User data originate?

The "Manager of the User" information is sourced directly from your organization's employee data. This data establishes the reporting relationships between recruiters and their managers, which powers the dashboard's analytics.

• For customers with both Talent Acquisition (TA) and Talent Management (TM): Manager information is typically already available within the system as part of your comprehensive employee data.
  
• For TA-only customers: You must upload a reporting structure file (CSV) via the Admin Console. This file should contain the manager for each employee to enable visibility into the recruiter-manager relationship.

Note: The system links users by matching the manager_email field in the employee data.

2.How is the "% Returning Users" metric calculated?

The "% Returning Users" metric measures user retention by identifying users who were active in the current period and in the immediately preceding period. It is not a "since ever" calculation.

A user is considered "Active" only if they perform a tracked action within the platform (e.g., sourcing a candidate, sending a message). Simply logging in does not count as being active.

Calculation Breakdown:

• Weekly Returning User: Someone who was active this week and was also active last week.
  
• Monthly Returning User: Someone who was active this month and was also active last month.

Formula: (Number of users active in both the current and previous period) / (Total number of users active in the current period) * 100

3.Can the dashboard's location filter be used for cities, not just countries?

Currently, the dashboard only supports filtering position locations at the country level. While city information may be present in the location data, it is not stored as a separate, filterable field. Implementing city-level filtering would require significant changes to how we process and store location data, which could negatively impact the dashboard's performance.

We understand the value of more granular filtering and will evaluate this feature request based on priority and potential technical impact.

4.How is the "% of Recruiters Performing Activities" metric calculated?

This metric measures the engagement of your recruiting team. The calculation is specific to users with the recruiter role and is not based on all employees.

Formula: (Active Recruiters / Total Users with Recruiter Access) * 100

• Numerator- Active Recruiters: A user with the recruiter role who has performed at least one tracked activity on a position assigned to them.
  
• Denominator- All Users with Recruiter Access: Every user in the system who has been assigned the recruiter role, regardless of their activity.

5.How is the "% Returning Users" metric calculated?

The "% Returning Users" metric measures user retention by identifying who was active in the current period and in the immediately preceding period. It is a consecutive-period calculation, not a "since ever" metric.

A user is considered "Active" only if they perform a tracked action within the platform (e.g., sourcing a candidate, adding a note). Simply logging in is not enough to be counted as active.

Calculation Breakdown:

• Weekly Returning User: A user who was active this week and was also active last week.
  
• Monthly Returning User: A user who was active this month and was also active last month.

Formula: (Number of users active in both the current and previous period) / (Total number of users active in the current period) * 100

6.What defines a "Position Worked On" in the dashboard?

A position is counted as "worked on" only if the recruiter has performed at least one tracked activity related to that position.

Simply being assigned or mapped to a position is not sufficient for it to be included in this metric. The recruiter must take a concrete action, such as advancing a candidate, adding a note, or sending a message.

7.Does "Total Candidates Acted Upon" include actions from hiring managers or candidates?

No. For the recruiter operational dashboards, this metric exclusively tracks actions performed by the recruiter (the user in focus).

Actions taken by other individuals, such as a hiring manager providing feedback or a candidate withdrawing their application, are not counted in this specific recruiter activity metric.

8.When I filter the dashboard by a specific user, which sections are expected to update?

When you apply a filter for a specific user, the dashboard sections that display individual performance metrics (such as the "Overview" tab) will update to show data only for that person.

However, sections designed to show aggregate team trends, like the "User Activity" section (which includes metrics like weekly/monthly active users and retention), will not change. These are intended to reflect the activity of the entire group.

9.Can you confirm that the "User Activity" section remains unchanged when filtering by a single user?

Yes, we can confirm that this is the correct and expected behavior. The "User Activity" section is designed to display cumulative data across all relevant users to provide a high-level view of overall platform adoption.

Therefore, it intentionally does not update when you filter for a single user, allowing you to analyze team-wide trends separately from individual performance.

10.How is Year-over-Year (YoY) calculated, and what does "ppts" mean?
1. Year-over-Year (YoY) Calculation: YoY compares the performance of a metric in the current period to its performance in the same period from the previous year.

• Weekly YoY: Compares this week’s data to the data from the same week last year.
  
• Monthly YoY: Compares this month’s data to the data from the same month last year.
  
  1. What "ppts" Means: "ppts" stands for "percentage points." It measures the simple, absolute difference between two percentage values. This is different from a standard percentage change (%), which is a relative difference.

Example: If user retention was 40% last year and is 55% this year, the change is:

• +15 ppts (55 - 40 = 15)
  
• A +37.5% increase ( (15 / 40) * 100 )

11.What specific actions are included under "Pipeline Activities"?

"Pipeline Activities" encompass the core recruiter actions involved in managing candidates within the hiring process. This includes, but is not limited to:

• Candidate Progression: Advancing, passing, or rejecting candidates.
  
• Engagement: Contacting candidates, sending messages (SMS, WhatsApp), requesting feedback.
  
• Organization: Adding candidates to a pipeline, adding tags, or sharing profiles.
  
• System Actions: Adding a candidate to the ATS, viewing dashboards for mapped positions.

12.What defines an "Active User" in the dashboard? Does logging in count as activity?

An "Active User" is defined as someone who performs at least one tracked, meaningful action within the platform during a given time period.

Crucially, simply having an account or logging in is not enough to be considered active. The user must engage with a feature for their activity to be counted.

Examples of tracked actions include:

• Sourcing or contacting a candidate
  
• Advancing an applicant in the pipeline
  
• Adding a note or tag to a profile

13.What is the "Median," and why is it a useful metric for this dashboard?

The Median is the middle value in a list of numbers that has been sorted from smallest to largest.
Why it's useful: The median provides a more realistic view of "typical" performance than the average (or mean) because it is not easily skewed by a few unusually high or low numbers (outliers).
Example: "Median Time to Hire" Imagine you hired 5 people with the following "time to hire" in days: 20, 22, 25, 28, 150.

• The Median is 25 days (the middle value).
  
• The Average is 49 days, which is inflated by the one very long hiring process (150 days).

In this case, the median of 25 days gives a much better sense of your typical hiring speed than the average of 49 days.