Recruiter Activity Report gives insights into the actions taken by the recruiter. The graphs generated for this report are Time Spent, Matching Engine Call, JD Assistant Call, Actions on Candidates and Chatbot Activity.
Let’s look at how it works:
The Recruiter Activity Report has the option to apply filters- Users, Jobs and Date. These filters help in narrowing down the relevant insights.
To apply the User filter, click “Users”. This will open by the user filter window. Apply from the three filters- By Name, By Role, By Office & Department.
- By Name, helps you view reports for the users selected.
- By Role, can get reports for user role selected- site admin, job admin, employee and external interviewer.
- By Office & Department, can be used to generate reports for specific office and departments of the user’s profile.
For example, you may want to see the data for recruiters that are responsible for technical hiring. For this, you can select the role of the user from the ‘By Role’ filter and the enter the office and department details such as Bangalore & Engineering respectively to get the relevant data.
Note: These filters can be used in congruence with each other.
To apply the Jobs Filter, click “Jobs” adjacent to the user filter. The Jobs filter window will provide you with an option to apply filter- By Job, Team Members, By Office & Department, Created Between.
- By Job, lets you select the job for which you want the data.
- Team Members, lets you choose the Users and their role- creator, recruiter, hiring manager etc.
- By Office & Department, gives you an option to select the job’s specific office and departments.
- Created Between, it filters out the data for the jobs created between the selected date.
For example, suppose you want to see data for John for all the jobs he is the hiring manager. You’ll go to the jobs filter > Team Member, enter john in the user filter and select hiring manager in the adjacent box. Applying this filter will give you the data pertaining to the jobs where john is the hiring manager.
Note: These filters can be applied individually or in congruence with each other.
The Date filter is used to select the date range for which you require the data.
Time Spent graph represents the total time spent by the selected users. It also provides the bifurcation for the time spent on the Talent pool and Screen stage.
Matching Engine Call trend graph represents the candidates matched by the AI engine in the Talent Pool and Screen Stage
JD Assistant Calls graph represents the total number of times the JD Assistant was used. It further, shows the bifurcation into excellent, average, good, and poor.
Note: For Time Spent tracking, after 30 seconds of no activity we stop the timer. The action includes moving a mouse as well.
Actions on Candidate graph represents the actions undertaken on the candidate during the selected date range. Actions are interview scheduled, interview confirmation sent, feedback submitted, offer letter sent etc.
Chatbot Activity is a bar stacked graph which represents the candidates invited from the talent pool or screen stage and out of the invited candidates, the number of candidates responded and not responded. In the below image, 18th September, 741 candidates were invited from the Screen stage and none from the Talent pool. Out of those 741, 433 have responded and 308 have not responded.
Note: Here the time filter is applied on the date the candidates were invited.
To check out the document on Source Analytics, click here.