New Horizon

New Horizon Growth AI

Admissions & outcomes · Bengaluru

Outcomes

MentorSphere

Ten thousand alumni are the most under-used asset New Horizon owns. MentorMatch turns them into a scheduled, measured mentoring layer.

412 mentors live
System · Placement EngineNorth star · Placed % of eligible batch22% of modelled movement

Ten thousand alumni are the most under-used asset the institution owns. MentorSphere converts them into a scheduled, measured mentoring layer wired directly into the placement funnel.

Open the Placement Engine

Mentee offer-rate lift

+17 pts

Target +25 pts vs peer baseline

Accountable

Training & Placement

Dean — Training & Placement

Active mentors

412

Sessions / month

1,184

Avg rating

4.6

Offer-rate lift

+23%

Mentees vs peers

Median match time

3 days

Request to first call

Verified mentor growth

Alumni onboarded and verified per month

34%
FebMarAprMayJunJulAug

Reachable alumni

10,400

Opted in

1,860

Verified

941

Mentoring now

412

Activation funnel

Alumni base to active mentors

Alumni reachable10,400
Opted in1,860
Verified mentors941
Actively mentoring412
5+ sessions logged168

Mentor tracks

Supply, demand and measured outcome lift

TrackMentorsDemandWaitOffer lift
Product engineering14896/1002 days+31%
Data & AI11292/1003 days+27%
Core / manufacturing8664/100same day+18%
Consulting & finance7478/1005 days+24%
Design & product mgmt4171/1006 days+21%
Entrepreneurship3958/100same day+14%

Mentored vs unmentored

Same branch, same CGPA band

Mentee offer rate91 vs 74

Peer baseline 74

Tier-1 shortlists38 vs 17

Peer baseline 17

Median CTC (LPA)8.4 vs 6.1

Peer baseline 6.1

Interview no-shows3 vs 11

Peer baseline 11

Upcoming sessions

Next five scheduled pairings

Rithika M. Kavya Sridhar

Confirmed

System design mock · Today 7:30 pm

Aditya K. Vikram Iyer

Confirmed

Consulting guesstimates · Tomorrow 8:00 pm

Farhan A. Sana Qureshi

Awaiting student

ML portfolio review · Thu 6:00 pm

Nandini P. Arjun Prakash

Rescheduled

Hardware startup path · Fri 5:30 pm

Joel Thomas Reshma Dsouza

Confirmed

Embedded core roles · Sat 11:00 am

MentorMatch alerts

What the agent wants a human to fix this week

Supply gap

Design & PM

71 students requested PM mentors against 41 available — recruit 15 alumni from Swiggy, Razorpay, PhonePe.

Churn risk

22 mentors idle

No session in 45 days. Auto-nudge with a one-click 30-minute slot.

High signal

Sana Qureshi

7 mentees, 6 offers. Promote to track lead and give her a cohort of 12.

Match quality

18 low-signal pairs

Rating below 3.5 for two sessions — re-match this week.

How matching works

01

Target role

Student declares the role and company tier they're chasing.

02

Gap scan

PlaceIQ readiness data identifies the two weakest competencies.

03

Match

MentorMatch ranks alumni by role fit, availability and past mentee outcomes.

04

Loop

Sessions, homework and outcomes tracked; low-signal pairs are re-matched.

Mentor directory

Kavya Sridhar

Staff Engineer · Google

2 slots

System design, DSA interviews

2012 · CSE6 mentees

Nikhil Aggarwal

Product Manager · Swiggy

1 slots

PM breaking-in, case prep

2015 · ISE4 mentees

Reshma Dsouza

Design Lead · Bosch

Full

Embedded systems, core roles

2010 · ECE5 mentees

Arjun Prakash

Founder · Zeta Robotics

3 slots

Startups, hardware ventures

2016 · Mech3 mentees

Sana Qureshi

Data Scientist · Flipkart

1 slots

ML portfolios, Kaggle

2018 · AI&ML7 mentees

Vikram Iyer

Partner · Deloitte

2 slots

Consulting, guesstimates

2008 · MBA4 mentees

Signals at a glance

The four numbers this module is reviewed on weekly

Verified mentors

1,412

Median response

9 hrs

Session NPS

72

Referrals sourced

486

Active mentor pairs

Industry professionals matched to final-year students

Q1Q2Q3Q4Q5Q6
Active pairs · 1240Target · 1400

Mentor pool by function

1,412 verified professionals

1,412

mentors

  • Software engineering51236%
  • Data / AI28820%
  • Product & design17412%
  • Core engineering21015%
  • Finance & consulting22816%

Mentorship impact on offers

Modelled offer lift by mentorship activity

+3.2
Mock interviews
+2.6
Referral intros
+1.5
Portfolio review
+0.9
Career mapping
-1.1
Dropped pairs

Net +7.1

Session hours per month

By session type

Apr
May
Jun
Jul
Aug
1:1 mentoringMock interviewGroup clinic

Mentor engagement vs mentee outcome

Bubble size is number of mentees

Sessions completedMentee offer rate
Product cohort (82/88)Data cohort (76/81)Consulting (64/72)Core engg (51/58)Design (44/63)

Match quality by branch × mentor function

Higher is a stronger historical match

SoftwareData/AIProductCoreFinanceCSE9690743052ISE9282682858ECE7064567844Mech3034409438MBA4658763292

Top mentors this quarter

Ranked by mentee outcomes, not hours logged

MentorCompanyMenteesSessionsOffersRating
Arjun MenonGoogle124894.9
Priya SharmaGoldman Sachs104184.8
Vikram RaoFlipkart143984.7
Neha IyerBosch93364.7
Sameer KhanDeloitte113054.5

Programme health

Nothing kills a mentor network faster than silence

Pairs meeting monthly74%

Nudges fire at day 21 of silence

Mentor retention (2 terms)81%

Retention beats recruitment on cost

Mentee prep completion63%

Unprepared mentees are the top churn driver

Referral follow-through58%

Warm intros that reach an application

Risk register

What could take the number backwards

Mentor fatigue

45% likely · -180 pairs

Mitigation: Cap at 6 mentees, rotate every two terms

Unprepared mentees

60% likely · Rating drop

Mitigation: Mandatory prep brief before session confirmation

Function mismatch

30% likely · Low conversion

Mitigation: Match on target role, not on branch

Forecast scenarios

Modelled outcomes with confidence, reviewed each month

Base76% conf.

+310 offers

1,240 pairs sustained

Push58% conf.

+470 offers

Alumni drive adds 400 mentors

Stretch38% conf.

+640 offers

Every final-year student paired

Outcome ladder

Each rung has a current number, a target, an owner and a date

StageTodayTargetOwnerBy
Verified mentors9411,500Alumni relationsDec
Actively mentoring412900MentorMatch agentJan
Median match time3 days24 hoursMentorMatch agentNov
Students with a mentor1,180 of 3,660Every at-risk + tier-1 aspirantT&P cellFeb

Levers

Where the movement actually comes from

Mentor supply — Design & PM41 → 71

Demand outruns supply 1.7x; recruit from Swiggy, Razorpay, PhonePe.

Mentor activation rate44 → 65

Verified but idle mentors are the cheapest capacity in the system.

Pair quality (rating 4+)72 → 88

Re-match anything under 3.5 after two sessions.

Session-to-outcome logging58 → 90

Untracked sessions cannot be attributed to offers.

Operating cadence

What the agent runs, and when

Daily

Match run

New requests matched on role fit, availability and past mentee outcomes.

Weekly

Idle mentor nudge

45-day-silent mentors get a one-click 30-minute slot.

Monthly

Cohort review

Track leads report offer lift; low-signal pairs re-matched.

Data feeds

Nothing here is hand-entered

Student gap profile

PlacementIQ readiness drivers

Alumni employer graph

AlumniGraph — company, tier, seniority

Session outcomes

Post-session rating + offer attribution

Unit economics

What a point of movement costs

Annual spend

₹18L / year

Unit cost

₹640 per mentored student

Payback

Two quarters

Contribution

22% of goal

Mentored cohort converts 91% vs 74% peer baseline