Outcomes
MentorSphere
Ten thousand alumni are the most under-used asset New Horizon owns. MentorMatch turns them into a scheduled, measured mentoring layer.
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
Reachable alumni
10,400
Opted in
1,860
Verified
941
Mentoring now
412
Activation funnel
Alumni base to active mentors
Mentor tracks
Supply, demand and measured outcome lift
| Track | Mentors | Demand | Wait | Offer lift |
|---|---|---|---|---|
| Product engineering | 148 | 96/100 | 2 days | +31% |
| Data & AI | 112 | 92/100 | 3 days | +27% |
| Core / manufacturing | 86 | 64/100 | same day | +18% |
| Consulting & finance | 74 | 78/100 | 5 days | +24% |
| Design & product mgmt | 41 | 71/100 | 6 days | +21% |
| Entrepreneurship | 39 | 58/100 | same day | +14% |
Mentored vs unmentored
Same branch, same CGPA band
Peer baseline 74
Peer baseline 17
Peer baseline 6.1
Peer baseline 11
Upcoming sessions
Next five scheduled pairings
Rithika M. ← Kavya Sridhar
ConfirmedSystem design mock · Today 7:30 pm
Aditya K. ← Vikram Iyer
ConfirmedConsulting guesstimates · Tomorrow 8:00 pm
Farhan A. ← Sana Qureshi
Awaiting studentML portfolio review · Thu 6:00 pm
Nandini P. ← Arjun Prakash
RescheduledHardware startup path · Fri 5:30 pm
Joel Thomas ← Reshma Dsouza
ConfirmedEmbedded core roles · Sat 11:00 am
MentorMatch alerts
What the agent wants a human to fix this week
Design & PM
71 students requested PM mentors against 41 available — recruit 15 alumni from Swiggy, Razorpay, PhonePe.
22 mentors idle
No session in 45 days. Auto-nudge with a one-click 30-minute slot.
Sana Qureshi
7 mentees, 6 offers. Promote to track lead and give her a cohort of 12.
18 low-signal pairs
Rating below 3.5 for two sessions — re-match this week.
How matching works
Target role
Student declares the role and company tier they're chasing.
Gap scan
PlaceIQ readiness data identifies the two weakest competencies.
Match
MentorMatch ranks alumni by role fit, availability and past mentee outcomes.
Loop
Sessions, homework and outcomes tracked; low-signal pairs are re-matched.
Mentor directory
Kavya Sridhar
Staff Engineer · Google
System design, DSA interviews
Nikhil Aggarwal
Product Manager · Swiggy
PM breaking-in, case prep
Reshma Dsouza
Design Lead · Bosch
Embedded systems, core roles
Arjun Prakash
Founder · Zeta Robotics
Startups, hardware ventures
Sana Qureshi
Data Scientist · Flipkart
ML portfolios, Kaggle
Vikram Iyer
Partner · Deloitte
Consulting, guesstimates
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
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
Net +7.1
Session hours per month
By session type
Mentor engagement vs mentee outcome
Bubble size is number of mentees
Match quality by branch × mentor function
Higher is a stronger historical match
Top mentors this quarter
Ranked by mentee outcomes, not hours logged
| Mentor | Company | Mentees | Sessions | Offers | Rating |
|---|---|---|---|---|---|
| Arjun Menon | 12 | 48 | 9 | 4.9 | |
| Priya Sharma | Goldman Sachs | 10 | 41 | 8 | 4.8 |
| Vikram Rao | Flipkart | 14 | 39 | 8 | 4.7 |
| Neha Iyer | Bosch | 9 | 33 | 6 | 4.7 |
| Sameer Khan | Deloitte | 11 | 30 | 5 | 4.5 |
Programme health
Nothing kills a mentor network faster than silence
Nudges fire at day 21 of silence
Retention beats recruitment on cost
Unprepared mentees are the top churn driver
Warm intros that reach an application
Risk register
What could take the number backwards
Mentor fatigue
45% likely · -180 pairsMitigation: Cap at 6 mentees, rotate every two terms
Unprepared mentees
60% likely · Rating dropMitigation: Mandatory prep brief before session confirmation
Function mismatch
30% likely · Low conversionMitigation: Match on target role, not on branch
Forecast scenarios
Modelled outcomes with confidence, reviewed each month
+310 offers
1,240 pairs sustained
+470 offers
Alumni drive adds 400 mentors
+640 offers
Every final-year student paired
Outcome ladder
Each rung has a current number, a target, an owner and a date
| Stage | Today | Target | Owner | By |
|---|---|---|---|---|
| Verified mentors | 941 | 1,500 | Alumni relations | Dec |
| Actively mentoring | 412 | 900 | MentorMatch agent | Jan |
| Median match time | 3 days | 24 hours | MentorMatch agent | Nov |
| Students with a mentor | 1,180 of 3,660 | Every at-risk + tier-1 aspirant | T&P cell | Feb |
Levers
Where the movement actually comes from
Demand outruns supply 1.7x; recruit from Swiggy, Razorpay, PhonePe.
Verified but idle mentors are the cheapest capacity in the system.
Re-match anything under 3.5 after two sessions.
Untracked sessions cannot be attributed to offers.
Operating cadence
What the agent runs, and when
Match run
New requests matched on role fit, availability and past mentee outcomes.
Idle mentor nudge
45-day-silent mentors get a one-click 30-minute slot.
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
