Data-driven bullying prevention for South African schools
South African teachers are ill-prepared to handle widespread school bullying affecting 20-50% of learners.
UnityGuard lets teachers anonymously log bullying incidents to reveal hidden patterns in their school. The app then delivers customized prevention recommendations based on aggregated anonymous data from other South African educators who faced similar challenges.
South African public school teachers and educators
Shifts focus from reaction to prevention using anonymized collective intelligence from thousands of SA public school classrooms.
collaborative
Quick logging of bullying events with category, location, and outcome without revealing personal data
Visual analytics showing when, where, and what type of bullying occurs in your school
AI-generated action plans based on what has worked in similar SA schools
Curated, evidence-based anti-bullying activities and lesson plans for different age groups
Anonymized case studies from other teachers showing what interventions reduced bullying
Notifications when patterns change (e.g. increase in cyberbullying after holidays)
Professional PDF reports for School Governing Bodies or DBE submissions
Compare your school's anonymized data against national benchmarks
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| province | text | No |
| school_id_hash | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| school_hash | text | No |
| bullying_type | text | No |
| location | text | No |
| grade | int | Yes |
| severity | int | No |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| title | text | No |
| description | text | No |
| proven_effectiveness | int | Yes |
| target_grades | text | No |
/api/incidentsSubmit anonymized incident for pattern analysis
/api/analyticsGet school-specific bullying pattern dashboard data
/api/recommendationsGet prevention recommendations based on current patterns
8 incidents per month
Individual teacher
Unlimited teachers per school
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 95 | 13% | $308 | $3,696 |
| Month 6 | 980 | 23% | $5,635 | $67,620 |
Anonymously track incidents with other South African teachers and receive proven prevention strategies tailored to your school.
1. Recruit beta users from teacher unions and subject advisor networks by offering free School tier to the first 5 schools that commit to using the tool for one term. 2. Present the concept at provincial teacher workshops and collect sign-ups. 3. Create a viral thread on LinkedIn and Facebook teacher groups demonstrating the pattern dashboard with mock data.
Broad compliance tools
No focus on bullying pattern intelligence or teacher-friendly prevention recommendations
Hyper-focused on bullying with teacher-first design and South African data
Network effect from increasing quality of aggregated anonymized data and intervention effectiveness scores as more schools join.
DBE has increased emphasis on evidence-based interventions, combined with growing availability of cheap Android devices in schools and national focus on GBV prevention.
POPIA compliance with sensitive incident data
Strong anonymization at source (no names, no exact dates, school hashed), conduct privacy audit before launch
Teachers unwilling to log incidents due to fear of repercussions
Extremely strong anonymity guarantees, no principal access unless school tier is purchased by SGB
Success: At least 65% would log incidents weekly if completely anonymous
Success: Average 18 incidents logged per teacher in first month with 70% finding recommendations useful
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