Social Life Management System
A data-driven social operating system for Medina neighborhoods
Enabling the municipality to understand neighborhood behavior, design smart events, and direct social investment based on real data
Current Challenges
Challenges facing the municipality
Poor understanding of neighborhood behavior
- No clear data model exists
- Relying on impressions or complaints
Ineffective events
- Traditional (entertainment only)
- Not measurable
- No lasting sustainable impact
Undirected social investment
- Decisions based on guesswork
- Weak link between needs and solutions
- No social return measurement
The Solution: An integrated 4-layer system
Each layer feeds the next, from individual behavior to institutional decision
Social Behavioral System
Generating measurable social behavior through a graduated behavioral journey and incentive system
Output:
Raw Behavioral Data
Event Intelligence System
Transforming events into diagnostic and measurement tools, events are not occasions but measurable behavioral experiments
Output:
Tested hypotheses + investment recommendations
Event-Based Data Model
Converting every behavior into a measurable unit: user data, behavioral events, relationships, and outcomes
Output:
Structured analyzable data
Community Intelligence Dashboard
Community health indicators, user journey, network analysis, and social investment
Output:
Decisions based on real data
Social Behavioral System
Generating real, measurable social behavior: behavioral journey + incentive system + social verification
Jari Al-Kafu Journey, Bronze Jari
Transform the user from "a stranger in the neighborhood" to "a known person with a documented initial network of relationships"
Introduction
Theme: "Welcome Neighbors" / 3 tasks
Break social barriers + start appearing in the neighborhood
- Introduce yourself(10 points)
- • Choose a ready template
- • Publish an intro post (text / photo / video)
Verification: Comments or likes from different accounts
- Invite 5 neighbors(50 points)
- • Send a custom referral link
Verification: New user registers via link + completes intro task
- Meet 5 neighbors(50 points)
- • View accounts from same neighborhood
- • Actual field visit to neighbor
- • Choose relationship type
Verification: Send a verification request, only counted after other party accepts
Output: First relationship network (Verified Social Graph) + start of real interaction
Building Relationships
Theme: "My Neighbor, My Support" / 2 tasks
Real social interaction and relationship documentation
- Invite for a social experience
- Document a moment with a neighbor
Impact
Theme: "Neighbor Before Home" / 3 tasks
Active contribution to the neighborhood and initiatives
- Participate in 3 initiatives
- Support a local project
Community Leadership
Theme: "Jari Al-Kafu" / 3 tasks
Providing service and becoming a reference
- Provide a service to 10 neighbors
- Belonging post
Tier System & Rewards
Transform user from 'stranger' to 'known person with an initial network of relationships'
Core idea: "Prove you exist"
Journey Structure (4 Layers)
Introduction
Breaking social barriers
- • Introduce yourself
- • Invite 5 neighbors
- • Meet 5 neighbors
Building Relationships
Real social interaction
- • Invite for a social experience
- • Document a moment with a neighbor
Impact
Contributing to the neighborhood
- • Participate in 3 initiatives
- • Support a local project
Leadership
Providing service
- • Provide a service to 10 neighbors
- • Belonging post
Rewards
Point Sources
80%
Completing stages
Optional tasks = bonus
20%
Monthly interaction
Posts, comments, initiatives, ratings
10%
Survey bonus
Completing surveys
Event Intelligence System
Events are not occasions... but measurable behavioral experiments, transforming events into diagnostic and measurement tools
Sports
Measuring activity and vitality
Social
Measuring social cohesion
Educational
Measuring cognitive engagement
Innovative
Measuring thinking and problem-solving
Economic
Measuring local business support
Smart Event Design Pipeline
Hypothesis
e.g. 'This is a sports neighborhood'
Activation
Execute event (sports challenge)
Measurement
Collect data: participation, interaction, relationships, continuity
Insight
Is the hypothesis correct?
Recommendation
Type of investment needed
Events are not the goal, but a lab for testing hypotheses
Sports event → measure participation and new relationships → decision: invest in sports infrastructure
Event-Based Data Model
Converting every behavior into a measurable unit: every interaction is recorded, every relationship is documented, every impact is measured
User Data
Behavioral Events
Relationship Data
Outcome Data
Neighborhood Classification
Sports Neighborhood
High physical activity
Social Neighborhood
Strong relationships
Weak Neighborhood
Social isolation
Economic Neighborhood
Local commercial activity
Practical Example
Challenge
Random youth gathering
Analysis
Undirected social energy
Investment
Stadium + league program + digital management
Impact Measurement
Before and after + behavior change
Community Intelligence Dashboard
Transforming data into decisions: community health indicators, user journey, network analysis, and social investment
Community Health Index
- Relationships per person
- Mutual interaction rate
- Participation rate
- Field activity
- Number of initiatives
Behavioral User Journey
Network Analysis
- Relationship density
- Isolation
- Groups
- Social leaders
Activity vs Impact
The difference between Activity (Posts) and Impact (Real Relationships)
Directed Social Investment
Community Operator
Not motivation but system support
Community Activation
- Motivating users
- Reminding of tasks and initiatives
Event Management
- Launching initiatives
- Follow-up on execution
- Approving participation
Quality Control
- Preventing fake interaction
- Verifying participation
Without the ambassador, the system collapses. The ambassador is not motivation but essential system support. At the Gold level, the role shifts from "supervisor" to "Evaluator".
Value Proposition
For the Municipality
- Deep understanding of the community
- Accurate data-driven decisions
- Reducing budget waste
For the Community
- Real social cohesion
- Meaningful events
- Services targeted to actual needs
For the Local Economy
- Supporting local businesses and productive families
- Creating jobs and investment opportunities
- Linking initiatives with the private sector
Municipality Integration
How the municipality benefits
Data-driven decision making
Municipality decisions based on real indicators, not guesswork or impressions
Need-based budget allocation
Each neighborhood gets a budget proportional to its actual data-driven needs
Performance measurement per neighborhood
Clear performance indicators for each neighborhood, before and after interventions
Safety & Solutions
Social verification
Preventing fake interaction via party confirmation
Every interaction requires the other party's approval
Preventing burnout
Gradual stage unlocking
Each stage unlocks only after completing the previous one
Privacy protection
Some stages are optional
The user controls their level of participation
Ambassador guidance
Preventing randomness
The ambassador guides and manages initiatives
Execution Roadmap
Phase 1
Setting up infrastructure and activating the behavioral system
Phase 2
Pilot events: executing experimental events to test hypotheses and collect initial data
Phase 3
Building the data model: structuring behavioral data and classifying neighborhoods
Phase 4
Dashboard: launching the community intelligence dashboard for the municipality
Phase 5
Linking investment: connecting social investment decisions with actual data
Executive Summary
This project is not an app, not a social program, and not an events platform.
It is: a data-driven social life management system for neighborhoods