aumik-alumni Dr Anitha K · Dean Alumni Affairs Dashboard Sign out M7 · slide 7 All mocks
College admin · NIT Trichy Analytics Directory Placements Pipeline Events / RSVP Archive Roster

Placement-cell lift

Warm referrals from re-engaged alumni → faster fills, better CTC for the current batch.

Numbers below are illustrative (flagged in the deck). Replace with real pilot data once a design partner signs.
Open roles posted by alumni
96
across 38 companies
Roles with batchmate referrer
71 / 96
74% warm-intro coverage
Median time-to-fill
14 d
vs 41 d off-platform · ↓ 66%
Median CTC delta
+18%
illustrative · vs prior cohort

Time to fill — before / after

Off-platform · 41d
aumik-alumni referral · 14d

Open roles with alumni referrer

RoleCompanyReferrer (batch)PostedStatus
Senior Backend EngineerStripePriya S · CSE '143 d ago8 applied
PM, PaymentsRazorpayRohan D · CSE '145 d ago6 applied
SREGoogleMeera I · CSE '141 wk ago2 in interview
Founding EngineerKarthik's startupKarthik R · CSE '142 wk ago1 hired
Data ScientistMicrosoftNikhil M · CSE '142 wk ago3 applied
iOS EngineerSwiggyAakash V · ECE '133 wk ago1 hired

Referral velocity

3.2× vs prior placement cycle (illustrative)

Why: same-batch referrals surface above same-college, which surface above same-school. Posts go to a warmer audience first. Apply rates are 4–6× higher.

Hires this cycle

A
B
C
D
E
+13

18 hires through warm-referral pipeline, 2025-26.

Why this matters to the placement cell

  • Faster placements → NIRF score up
  • Better CTC → ranking up
  • Warmer pipe → less recruiter fatigue
College journey ← M6 → M8 Sponsor Pipeline | All mocks