Frontier
PulseCare
Dropouts are rarely academic first. PulseCare catches the drift weeks earlier — with consent, not surveillance.
Retention, progression and graduation rates are scored parameters — and they are wellbeing problems before they are academic ones. PulseCare catches the drift eight weeks early.
Open the Ranking Engine →Progression rate
91.4%
Target 96%
Accountable
Academics & Accreditation
Dean — Academics & Accreditation
Check-ins logged
6,240
At-risk students
148
Counsellors
14
Cases resolved
86%
Avg time to contact
1.6 days
Red-band students
Campus mood index
Weekly average of consented check-ins
The W3 dip lines up exactly with the first internals week — the same pattern shows up every semester and is now pre-empted with a lighter check-in cadence.
Triage bands
Every consented student sits in one band
Monthly pulse check
Mentor check-in within 7 days
Counsellor slot within 48 hours
Risk drivers
Share of flagged cases by primary driver
Cohort signals
Risk index by cohort
Homesickness + first internals
Placement anxiety before drives
Project + interview overload
Sleep and attendance dips
Counsellor caseload
Load balancing keeps response times under two days
| Counsellor | Open | Closed | Avg days | Load |
|---|---|---|---|---|
| Dr. Latha S. | 18 | 62 | 9 | 74% |
| Rahul Menon | 14 | 48 | 11 | 61% |
| Fatima N. | 21 | 55 | 8 | 88% |
| Joseph A. | 9 | 39 | 13 | 44% |
Care loop
Attendance, internals and LMS inactivity combine into a weekly wellbeing score.
Anonymous check-in prompts via WhatsApp; escalation only on consent.
Counsellor slots auto-booked for red-flag students, mentor looped in.
Driver split
Privacy contract
Non-negotiable rules the system runs under
Consent first
Students opt in; identity is masked until they agree to escalation.
Signals, not surveillance
Only attendance, internals and LMS activity feed the score.
Human in the loop
No automated action beyond a gentle check-in prompt.
Data floor
Records auto-purge 12 months after a case is closed.
Signals at a glance
The four numbers this module is reviewed on weekly
Consented students
9,840
Check-ins logged
42,600
Avg time to contact
1.6 days
Cases resolved
81%
Wellbeing index vs dropout risk
Weekly campus mood against flagged students
Flags by primary driver
148 priority students
148
priority
- Academic pressure5235%
- Attendance drift3423%
- Financial stress2618%
- Homesickness2014%
- Health1611%
Retention impact by intervention
Students retained per intervention type
Net +7.1
Case volume by band
Triage bands per month
Attendance vs internals score
Bubble size is cohort headcount — bottom-left is the risk zone
Cohort × risk driver
Risk index by cohort
Counsellor performance
Load balanced weekly to hold response under two days
| Counsellor | Open | Closed | Avg days | Retained | Load |
|---|---|---|---|---|---|
| Dr. Latha M | 18 | 96 | 1.4 | 88 | 78% |
| Mr. Vinod S | 22 | 84 | 1.8 | 79 | 86% |
| Ms. Reema T | 16 | 92 | 1.3 | 84 | 72% |
| Dr. Imran A | 24 | 71 | 2.1 | 74 | 91% |
| Ms. Divya K | 14 | 68 | 1.6 | 81 | 64% |
Care quality
Consent-first, never surveillance
Opt-in renewed each semester
Escalates to the dean if missed
Closure requires a 30-day check
Reviewed monthly with counsellors
Risk register
What could take the number backwards
Consent withdrawal at scale
25% likely · Blind spotsMitigation: Transparent value communication each term
Counsellor capacity in exam weeks
60% likely · Slower responseMitigation: Surge roster with trained faculty mentors
Stigma suppresses check-ins
45% likely · Under-reportingMitigation: Anonymous entry point plus peer circles
Forecast scenarios
Modelled outcomes with confidence, reviewed each month
148 → 120 at risk
Current counsellor capacity
148 → 92 at risk
Two counsellors added
148 → 64 at risk
Push plus faculty mentor network
Outcome ladder
Each rung has a current number, a target, an owner and a date
| Stage | Today | Target | Owner | By |
|---|---|---|---|---|
| Students with a wellbeing score | 6,240 | All 11,800 | PulseCare agent | Dec |
| Red flags contacted in 48h | 72% | 100% | Counselling cell | Nov |
| Cases resolved | 86% | 94% | Counsellors | Mar |
| Backlog clearance | 68% | 85% | Mentors + HoDs | Jun |
Levers
Where the movement actually comes from
Caseload per counsellor is 2.1x the recommended ceiling.
Homesickness plus first internals is the dominant driver.
Peaks in the fortnight before drive season.
Trust is the constraint; anonymous check-ins raise it.
Operating cadence
What the agent runs, and when
Wellbeing recompute
Attendance, internals and LMS inactivity combine into one score.
Red-flag routing
Counsellor slot auto-booked, mentor looped in with consent.
Driver analysis
Cohort-level drivers reported to HoDs with a remedy.
Data feeds
Nothing here is hand-entered
Attendance & internals
ERP nightly
LMS activity
Learning platform
Placement pressure signal
PlacementIQ drive calendar
Unit economics
What a point of movement costs
Annual spend
₹34L / year
Unit cost
₹2,880 per retained student
Payback
One year
Contribution
11% of goal
148 at-risk students held in programme; +1.6 NIRF outcome points