Placement Analytics
Placement Readiness Analytics for Your Entire Batch Real Data. Real Decisions.
Placement readiness analytics gives placement officers a live view of every student's readiness score, skill gaps, and ATS compatibility across the full cohort, not just a sample.
What is placement readiness analytics?
Placement readiness analytics is a real-time measurement system that scores an entire student batch on resume quality, ATS compatibility, and skill coverage, giving placement teams a structured view of where the cohort stands before any drive begins.
Most placement cells go into drive season with no reliable data. Analytics replaces guesswork with a live dashboard: who is ready, who is at risk, and what the most common gaps are across the full batch, not just the students who came in for a review.
What the analytics dashboard shows
Eight metrics that give placement teams a complete picture of batch readiness.
Cohort readiness score
Batch-level aggregate showing what percentage of students are placement-ready.
At-risk count
Number of students flagged below the readiness threshold with drill-down access.
Score trend over time
How average batch readiness has improved or declined across upload cycles.
Department breakdown
Compare readiness scores by department, branch, or graduation year.
JD alignment coverage
Percentage of batch whose resumes align with target company JDs for the drive.
Skill gap heatmap
Most common missing skills across the cohort, ranked by frequency.
ATS pass rate
What percentage of the batch passes ATS screening versus fails.
Exportable reports
CSV and PDF exports for sharing with faculty, advisors, and management.
How it works
Upload batch resumes
Upload the full cohort via bulk upload or CSV. Takes 5 minutes for 500 students.
Analytics computed automatically
Every student scored. Cohort-level metrics aggregated. At-risk students flagged. No setup required.
Review the dashboard
See the full analytics view. Drill down by student, department, or skill gap. Export what you need.
What placement teams are flying blind on
These are the gaps that consistently show up when placement cells operate without structured analytics. All of them are solvable once you have the data.
- Making placement decisions based on manual spot-checks rather than full batch data
- No way to compare current batch readiness against previous years
- Waiting until after company shortlists to find out which students are struggling
- Reporting placement readiness to management using anecdotal evidence
- No visibility into which skills are missing across the full cohort
- Spending review time on aggregate reports that do not identify specific students
Turn placement data into decisions
ResumeGrade replaces manual tracking and guesswork with a structured analytics system. Placement officers get batch-level visibility. Advisors get student-level action items. Management gets outcome metrics.
Frequently asked questions
- What is placement readiness analytics?
- Placement readiness analytics measures and tracks how prepared a student batch is for upcoming placement drives. It covers resume quality scores, ATS compatibility rates, skill gap coverage, and at-risk identification, aggregated at cohort level and drilled down to individual students.
- How is placement readiness analytics different from a resume checker?
- A resume checker scores one resume at a time. Placement readiness analytics scores the entire batch and gives placement officers cohort-level metrics: overall readiness percentage, at-risk count, department-level comparisons, and skill gap heatmaps across hundreds of students simultaneously.
- Can analytics data be shared with university management?
- Yes. ResumeGrade generates exportable reports in CSV and PDF format. Placement officers can share batch readiness summaries with heads of department, principals, and management without granting access to the full platform.
- How often should a batch be re-evaluated?
- Best practice is to run batch analytics monthly during the academic year and weekly in the 6 weeks before major drive seasons. This gives enough lead time to intervene with at-risk students before shortlisting begins.
From the blog
Placement analytics, explained
Practical guides for placement teams on measuring batch readiness, identifying at-risk students early, and turning data into placement outcomes.
Know your batch before drive season starts
Upload your cohort and get full placement readiness analytics in under 24 hours.
Get batch analytics