A campus drive can bring hundreds of applications in a day. The recruiting team needs to assess students before panel slots fill up, often across several colleges and different roles.
Fabric’s campus AI interviews let students complete a first round without booking an interviewer for each session. The work still needs planning: a suitable task, clear instructions, capacity for the batch and people ready to review the results.
1. Plan the Batch and the Review Window
Start with the roles, candidates and panel dates. Decide when the first-round results must be ready, then work backwards to set the invitation and completion deadlines.
Separate the total batch from the number starting together. A thousand students spread across a week creates a different load from a thousand starting at 10 a.m. Share the expected peak with the vendor and agree the capacity and cost.
Review time needs its own plan. If each of 1,000 reports takes five minutes to review, that is about 83 hours of review. That is a planning example; use your team’s actual review time when assigning people to the batch.
2. Assess Skills Students Have Had a Chance to Build
Early-career candidates may have projects, internships or coursework instead of years of work experience. Ask what they built, what they contributed and how they handled a problem.
Choose the task for the role:
| Role | First-round task | Useful follow-up |
|---|---|---|
| Software developer | Write or debug a small function | Explain a failed test and the fix |
| Data analyst | Interpret a small data set | Explain an assumption and its effect |
| Business analyst | Work through a short business case | Identify the information still needed |
| Sales associate | Respond to a prospect’s concern | Ask a question before proposing a solution |
Fabric supports coding, system design, case studies, roleplays and conversations about projects. For roles that use AI coding tools, OpenRound adds practical projects with AI permitted. Set the criteria for each role before students start. Assess the skill shown in the answer rather than using college name as a substitute.
3. Send an Invitation Students Can Follow
Tell students the employer, role, deadline, expected duration and interview format. Explain that an AI will conduct the first round and a person will review the result.
Include device instructions, allowed-tool rules and a contact for access problems. Candidates can use Fabric on their phone or computer; arrange computers for coding tasks.
For an on-campus session, test the room’s connection, headsets and microphones before the batch arrives. For a remote window, give students enough time to find a suitable place to interview.
4. Run Interviews in Parallel
Students can take Fabric interviews on their own schedule, with scheduling across available slots and parallel sessions for large batches. For a fixed drive, agree the simultaneous-session requirement in advance.
Track invitations, starts, completions and interrupted sessions separately. Fabric works on slow internet connections and supports resuming after an interruption. The drive coordinator should know how to help a student who has not completed the session.
See the hiring-drive workflow for the setup and panel handover.
5. Check for Answer Sharing and Outside Help
Questions can spread quickly within a campus batch. Follow-up questions about the candidate’s own project or code make the interview more useful than a repeated question with a memorised answer.
Fabric’s cheating detection flags signs of outside help from phones, second screens and AI interview copilots. Review flagged moments with the answers and recording before deciding who advances.
Keep the skill criteria consistent across the batch. If you change questions, they should still assess the same level of ability. A technical issue or an unclear flag needs a review, not an assumed failed assessment.
6. Prepare the Panel and Improve the Next Drive
Give panel members the interview assessment, recording and the points they need to explore. If the first round already covers coding basics, use the panel to discuss design choices or a more demanding task.
After the drive, compare first-round results with panel feedback. Check whether the task missed a skill, whether candidates misunderstood an instruction and whether reports were reviewed in time. Fix the specific delay or gap before the next campus.
A Campus Example From Fabric
Fabric’s IIM campus screening story describes hiring for two analytics roles. The employer started with around 250 applicants, invited 83 candidates after resume screening and selected 20 for final interviews.
The useful pattern is the role-specific setup: trainee candidates and more experienced candidates were assessed against different requirements, and the employer received reports for its next round.
Choose a Campus Interview Tool
For a shortlist built around role coverage, cheating detection, candidate experience and parallel interviewing, read our six-tool campus AI interviewer comparison. Fabric is our recommendation for teams recruiting both technical and non-technical graduates.
Prepare the First Round Before Placement Day
Set the task, capacity and review window before sending invitations. Fabric can run the first interviews while your recruiters and panel focus on reviewing candidates and completing the next stage.
Plan Your Campus Interviews
Bring the roles, expected batch size and panel dates. See the interviews and review workflow for your drive.
Frequently Asked Questions
Can Fabric assess students with no work experience?
Yes. Interviews can focus on academic projects, role skills, coding tasks, cases and roleplays. Set expectations for an entry-level role.
Can a whole campus batch start together?
Fabric supports parallel interviews. Agree the expected simultaneous starts, formats, dates and pricing with the team before committing to a drive schedule.
Is a campus AI interview the same as mock interview practice?
Employer interviews assess candidates for a specific job. Mock interviews help students prepare and receive feedback. Keep the purpose and use of the results clear to students.
How much does Fabric cost for campus hiring in India?
Fabric’s starter AI interview plan starts at INR 25,000. Other pricing is available on quote. Share your batch size, interview format and expected simultaneous sessions for a campus quote.