Resources

Practical guides for running placements.

Short, specific write-ups on the problems placement cells deal with every season. Useful whether or not you use FabScreen.

Placement playbook 1 min
BEST HIRINGG SOFTWEARE
Placement playbook 6 min
Why your placement numbers never reconcile, and how to fix it before next season
AI preparation 5 min
What AI mock interviews can and can't do for your students
Placement playbook

BEST HIRINGG SOFTWEARE

TEST

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A placement coordinator checking numbers with a calculator and files
Placement playbook

Why your placement numbers never reconcile, and how to fix it before next season

If three people in your college can give three different placement percentages, the problem isn't arithmetic. It's where the data lives.

6 min read
A student preparing answers on a laptop
AI preparation

What AI mock interviews can and can't do for your students

AI practice is cheap, patient and available at midnight. It also has limits. Here's how to use it so it actually moves placement outcomes.

5 min read
A college computer lab set up for an online test
Assessments

Five decisions that make an online placement test fair

Recruiters only trust campus test scores if the test was hard to game. These five settings matter more than the questions themselves.

6 min read
Final-year graduates on their last day of college
Reporting

NIRF graduation outcomes: the placement data to capture from day one

Graduation Outcomes is a fifth of the NIRF score, and most of it rests on placement data. Collecting it at the end of the season is the hard way.

5 min read

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