For the Academic Head
The Principal Dashboard.
Your school, distilled.
Six surfaces. Six daily decisions. Every signal a school produces — attendance, marks, behaviour, teacher output, network rank — composed into one operating system the principal runs the day from.
Scroll the keynote — one act per surface, one decision per act.
8 AM clarity, not 8 PM regret.
A principal walks in at 8 AM and asks five different people what's happening across the school. By the time the answers arrive — fragmented, conflicting, late — the moment to act has already passed.
Edullent collapses the morning briefing into a single screen. Academic Health Index, today's risk alerts, attendance trajectory — every signal the principal needs is composed and waiting. The day starts with a decision, not a question.
A single morning read for one school — health index, today’s risk list and attendance trajectory, composed before the principal walks in.
Signals it reads
- Attendance marked across every class today
- Assessment results as teachers enter them
- Discipline and incident logs
- Fee status per student
What the engine computes
- A composite academic health index, 0–100, comparable week to week
- Risk students ordered by severity rather than alphabetically
- A thirty-day trend line that separates a bad day from a slide
- The three items that most need a decision this morning
Decisions it drives
- Which three students to act on before 9 AM
- Whether to escalate to the owner or handle it in-house
- Which class or teacher to sit in on this week
Composite Health Index
A live 0–100 score blending attendance, marks, discipline and operations — comparable across weeks, branches and years.
Triage by urgency
Today's risk students arrive sorted by severity. The principal acts on the right three by 9 AM — not the loudest three.
30-day momentum
Smooth-interpolated trend lines reveal whether the school is rising, stalling or slipping — long before the term-end report ever lands.
Sign-in to school-wide clarity
Per branch / yr saved via earlier intervention
Every student. Auto-classified. Every week.
Most schools discover a struggling student in the term-end report. By then, two months of decline have compounded — and the parent is already asking the principal to explain.
Edullent classifies every student weekly — Weak / Developing / Smart — across attendance, marks and behaviour. The dashboard names them, explains why, and pairs each with a one-tap action: notify the teacher, message the parent, schedule intervention.
Weekly classification of every enrolled student into three operational groups, each carrying its reason, so support is allocated on evidence rather than staff-room memory.
Signals it reads
- Attendance record per student
- Score movement across subjects
- Behaviour notes logged by teachers
- Homework and assignment completion
What the engine computes
- Three tiers with live counts, recomputed every week
- The reason behind each classification, named per student
- A cohort-level read on what is working in a class and what is not
- History retained, so improvement and decline are both visible
Decisions it drives
- Which parent to call, and what to open the call with
- Which teacher needs a heads-up about which student
- Where to place a remedial group, and who belongs in it
3-tier classification
Weak · Developing · Smart with live student counts. No principal-guesswork; the engine cuts the school into the only three groups that matter operationally.
Reason-coded cards
Each student card carries the why — declining attendance, behaviour spike, falling scores — so the conversation with parents or teachers starts informed.
AI Class Intelligence
A weekly cohort read surfaces who to act on first, what's working, what isn't — composed in the school's own voice.
Of per-student visibility — every year
Recovered revenue per prevented dropout
Name the dropout six weeks before they leave.
Dropouts are never sudden. They're the visible end of a slow decline — three missed weeks here, a parent meeting skipped there, a behaviour incident that wasn't followed up. By the time the family stops paying, the signal has been on for two months.
Edullent reads those signals in real time. Multi-factor risk scoring spans attendance, marks, incidents and assignments — tiered Critical → Warning → Monitoring with an intervention playbook attached to every name. The principal doesn't react to dropouts. The principal prevents them.
Multi-factor dropout risk scored continuously, with an owner assigned and an intervention plan attached to every name on the list.
Signals it reads
- Consecutive absence and attendance decline
- Marks falling below a passing threshold
- Behaviour incidents and follow-up gaps
- Missed assignments and fee arrears
What the engine computes
- A risk score combining all four factors, not one at a time
- Tiering into critical, warning and monitoring bands
- A new-this-week delta, so the list reads as movement rather than a total
- A composed action plan per student — meeting, counselling, tutoring or fee restructure
Decisions it drives
- Who owns each at-risk case, and by when
- Which intervention to approve, and which to escalate
- Whether last month’s intervention actually worked
Red-hero risk pool
A single number every morning: students at academic, behavioural, attendance or fee risk — with the new-this-week delta surfaced beside it.
Owner-assigned cases
Each at-risk student carries an assigned coach. No 'someone should look at this' — every name on the screen has someone accountable by Friday.
Intervention playbook
AI-composed action plan + one-tap quick actions: parent meeting, counsellor referral, tutorial reassignment, fee restructure. The play is prescribed; the principal approves.
Earlier dropout detection vs term-end reports
Prevented annual fee leakage per 1,000-student branch
Know your top and bottom five — without HOD bias.
Teacher reviews live in two corrupted formats today: the HOD's gut feeling, and the year-end student survey that arrives after the contract is already renewed. Both fail the school. One is unfair to good teachers; the other is too late to save weak ones.
Edullent reads outcomes, not opinions. A composite score per teacher — class average, attendance discipline, parent feedback, term-over-term trend — refreshed every Friday. The school sees who is genuinely lifting students, who needs a mentor, and who needs a different role.
A composite teacher score built from student outcomes rather than opinion, refreshed weekly so a review becomes a reading instead of a recollection.
Signals it reads
- Class average and its term-over-term movement
- Teacher attendance and punctuality
- Parent feedback
- Grading turnaround and assessment coverage
What the engine computes
- Four axes merged into one score per teacher
- Comparison against the school average, not a fixed cut-off
- A tier band with the underlying numbers kept visible beneath it
- Coaching pairs matched by subject and grade band
Decisions it drives
- Who to mentor, who to recognise, who to reassign
- What to say in a review meeting, with the record behind it
- Which subject needs a department-level fix rather than a person-level one
Outcome-weighted scoring
Four signals combined into one number per teacher — class avg, attendance, parent feedback, trend. The score answers a question every principal asks: who is actually moving students?
Per-teacher card depth
Subject pills, term-on-term delta, vs school average, tier badge — the principal walks into review meetings with a paper-trail, not a feeling.
Auto mentor pairings
The engine pairs teachers needing coaching with the right top performer — same subject, same grade band — turning the staff room into a self-improving system.
Saved per principal per week on review prep
Average class-score lift after one coaching cycle
Healthy competition that moves the needle.
Recognition in schools today is a once-a-year affair — Teachers' Day, a plaque, a paragraph in the magazine. Twelve months between signals. The high-performers go unrewarded; the rest go unmoved.
Edullent ranks every teacher weekly on the same composite the principal sees — Gold / Silver / Bronze podium plus the full ranked list with this week's movement. Transparent enough to be trusted. Granular enough to be acted on. The same number the owner sees in the network leaderboard.
Weekly ranking of the teaching staff on the same composite the owner sees, so recognition arrives fifty-two times a year instead of once.
Signals it reads
- The same four performance axes that build the teacher score
- Position held last week, for movement
- Term, month and all-time windows
What the engine computes
- A ranked list with the leading three surfaced separately
- Positions gained or lost since the previous week
- A selectable period, so a strong month is not buried by a slow term
- The identical metric that powers the owner-side branch leaderboard
Decisions it drives
- Who to name in assembly this week
- Which improvement to acknowledge before it stalls
- Whether a ranking dispute is real or a scoring artefact
Period toggle
Term · Month · All-Time — the principal picks the lens. A new teacher who lifted scores 14 points in a month deserves to show up, even if the term scorecard is still building.
Weekly movement
Up-arrow / down-arrow with positions changed since last week — the leaderboard is alive, not a frozen snapshot from September.
Network parity
The same composite metric powers the owner-side branch leaderboard. Principals, teachers and owners all see the same truth.
Avg lift on teachers in bottom half after 90 days' visibility
Recognition cycles per year vs annual reviews
See where you rank — and how to close the gap.
Most principals operate in a vacuum. Their numbers look fine in isolation; they have no way to know they're third in a five-branch group, or eleventh in a hundred-school network. Without comparison, there's no motivation to improve.
Edullent opens the network. Branches, principals, teachers and students — four leaderboards, ranked across the entire group. The AI explains why Bandra wins this week, what Powai needs to do to overtake, and prescribes the specific moves. Comparison is the most under-used force in school leadership; we make it daily.
Four ranked views — branches, principals, teachers and students — that place one school against the rest of the group instead of against its own last month.
Signals it reads
- Composite scores from every branch in the group
- Principal, teacher and student rankings on the same basis
- Six months of network history
What the engine computes
- Four leaderboards resting on one shared metric
- Your own position surfaced alongside the leader, not buried below it
- A weekly cached explanation of what is driving the leading branch
- Three specific moves derived from where the gap actually sits
Decisions it drives
- What to copy from the branch ahead, in concrete terms
- Which metric to attack first to close the largest gap
- What to bring to the group review, already quantified
Gold/Silver/Bronze + you
Pool-ball podium plus a your-row highlight so the principal sees both the winner and their own position in the same glance.
"Why Bandra wins" AI
Weekly-cached narrative explains the gap in plain English — the specific signal driving the lead, sourced from real metrics, not guesswork.
Close-the-gap solutions
Three concrete moves below every leaderboard — not generic advice, but moves tied to the metrics the leading branch is winning on.
Network-wide visibility · cached AI insight
Per branch / yr saved via cross-branch best-practice transfer
The principals who'll lead the next decade
won't be the busiest. They'll be the clearest.
Edullent gives the principal one screen, one truth, one move every morning. The rest of the school catches up to that clarity.
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