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How to Read Your Hiring Reports

Analyse candidate flow, score distribution, and interview activity for each opening.

Overview

View detailed analytics for each opening to understand your hiring funnel.

Job Analytics

The Job Analytics page showing Application Flow, Peak Interview Days, Peak Interview Hours, and Score Distribution.

Summary Cards

Card What It Shows
Total Candidates Number of applications received
Completion Rate Percentage who finished the interview
Average Score Mean AI rating across all candidates
Top Performers Candidates scoring 4+ out of 5

Candidate Flow Chart

The candidate flow chart visualises how candidates move through your pipeline, showing where candidates drop off and conversion rates between stages.

Reading the Chart

Element Meaning
Thick flows More candidates took this path
Thin flows Fewer candidates
Red/Orange Drop-off points
Green Successful completions

Flow Stages

  1. Start - Total candidates invited
  2. First node - Candidates who opened the link
  3. Middle nodes - Progress through interview stages
  4. End nodes - Completed, abandoned, or expired

Identifying Issues

If you see a large drop-off at a specific stage, investigate why. Common causes include:

  • Interview too long
  • Technical difficulties
  • Poor candidate experience
  • Unclear instructions

Score Distribution

Understand how candidates are performing across your interviews.

Distribution Chart

The histogram shows the spread of candidate scores:

  • X-axis: Score ranges (1.0-1.9, 2.0-2.9, etc.)
  • Y-axis: Number of candidates in each range
  • Bell curve: Indicates typical distribution

How Candidates Compare

Percentile Meaning
Top 10% Exceptional candidates
Top 25% Strong performers
Top 50% Above average
Bottom 50% Below average

What the Distribution Tells You

Pattern What It Means
Most candidates scored high Scoring criteria may be too easy — consider making them more specific
Most candidates scored low Scoring criteria may be too hard — consider adjusting difficulty
Even spread across scores Well-calibrated criteria — this is the ideal pattern
Two separate groups of scores Two distinct candidate pools — may indicate different sourcing channels

Peak Activity Tracking

The activity heatmap shows when candidates take interviews by day of week and hour of day.

Heatmap Components

  • Rows: Days of the week (Monday - Sunday)
  • Columns: Hours of the day (12am - 11pm)
  • Colour intensity: Number of interviews during that time slot

How to Use This Data

Goal Action
Optimise reminder timing Send reminders 1-2 hours before peak activity
Set better deadlines Align deadlines with high-activity periods
Plan review sessions Schedule reviews when new completions are likely
Identify patterns Note if weekends or evenings are popular

Using Analytics Effectively

Best Practices

  1. Monitor funnel drop-off - If many candidates drop out at a specific stage, investigate why
  2. Track score trends - Consistently low scores may indicate sourcing issues
  3. Optimise timing - Schedule reviews during your peak activity periods
  4. Plan capacity - Use completion data to forecast review workload
  5. Compare openings - Look for patterns across similar roles

Common Questions

Why is my completion rate low?

Common causes:

  • Interview too long (keep under 45 minutes)
  • Technical issues (check browser requirements in communications)
  • Candidates need reminders (send follow-ups)
  • Link expiration (extend deadlines if needed)
Why are scores clustered at one end?

Check your scoring criteria:

  • Too easy: Most candidates score 4+
  • Too hard: Most candidates score below 3
  • Adjust criteria or question difficulty accordingly
When do most candidates interview?

Check the Peak Activity heatmap. Most candidates complete interviews:

  • Evenings (6-9 PM) on weekdays
  • Weekend mornings
  • Lunch hours (12-1 PM)