Interview Analytics

The interview stage is crucial in the recruitment process, acting as the bridge between candidate screening and hiring decisions. Kula's Interview Analytics provides insights into the effectiveness and efficiency of your interview process.

Key Metrics Overview

• Completed Interviews: Total number of interviews conducted within the selected timeframe, offering a snapshot of interview activity.
• Interviewed Applicants: Tracks unique candidates who have been interviewed, helping assess coverage.
• Average Time Spent Interviewing: Calculates the average duration of interviews, which is essential for evaluating process efficiency.

Key Visualizations

• Completed Interviews Trend: A line chart showing the number of completed interviews over time, revealing patterns and bottlenecks.
  
  
  
• Completed Interviews by Feedback: A pie chart categorizing completed interviews based on feedback, providing insights into interview quality.
  
  
  
• Completed Interviews by Duration: A pie chart displaying the distribution of interview durations to identify time allocation across different types.
  
  
  

Basic Analysis With Filters
Customize reports to meet specific needs using the following filters:

• Job Name: Filter by job titles for targeted analysis.
• Job Type: Focus on employment types (e.g., full-time, contract).
• Job Status: Analyze based on job posting statuses (e.g., open or closed).
• Department: Filter by organizational departments.
• Primary Recruiter: View metrics by individual recruiters.
• Primary Hiring Manager: Filter by hiring managers overseeing interviews.
• Source (On Application): Analyze interview metrics based on application sources.
• Location (On Application): Review data based on geographic locations.
• Interview Type: Filter by interview types (e.g., phone, in-person).
• Interview Duration: Focus on different interview lengths.
  
  

Advanced Data Analysis

The "Interview Breakdown" section enables in-depth analysis through:

• Group By Filter: Categorize data based on specific dimensions such as job name, primary recruiter, and department.
• Breakdown By Filter: Add a secondary detail layer to grouped data for more granular insights.

Timeframe Customizations:

Examine interview data across various timeframes:

• Yesterday: Review recent activity.
• Last 7 Days: Analyze short-term trends.
• Last 30 Days: Evaluate monthly metrics.
• Last 3 Months: Gain insights into quarterly trends.
• Last 12 Months: Examine long-term performance metrics.
• Custom: Define specific timeframes for unique analysis.
  
  

These customizable timeframes ensure that you can tailor your analysis to the periods most relevant to your needs, providing valuable insights to optimize your interview process and drive better hiring outcomes.

Exporting & Scheduling:

To manage interview data efficiently:

• Download as PDF: Generate a well-formatted PDF for offline access or sharing.
• Schedule Email: Automate report distribution at specified times to keep stakeholders informed.