Make A Difference Storytelling Initiative
Active Citizenship, Social Impact, Education
Community Engagement, Program Innovation
Make A Difference (MAD) works to provide everybody with a reasonable quality of life.
MAD believes that a reasonable quality of life can be achieved if individuals are covered on two fronts: they are free from exploitation and they have the ability to cope with life crises. MAD mobilises young leaders towards ensuring equitable outcomes for children in need of care and protection.
MAD is envisioning a fundamental shift from being perceived as an organisation to becoming a dynamic movement. This transformation is rooted in the belief that the movement should belong to the people, fostering a sense of ownership and participation among all stakeholders. Unlike an organisation, which inherently has limitations on ownership to the employees, a movement is inclusive and open to everyone, aligning perfectly with MAD's ethos of community-driven change.
The MAD Storytelling Initiative's primary objective is to derive insights to support the team to better understand how well the volunteers are being able to integrate MAD's values into their day to day. Building on these insights, feedback and experiences shared, the team aims to leverage the power of storytelling to better inspire, support and mobilize volunteers by strengthening communication strategies. A secondary objective is to add a layer of reflection, sharing openly to enable learning amongst peers in the community of volunteers.
By utilizing the Open Knowledge Framework (OKF), MAD intends to streamline the collection and analysis of stories shared by volunteers.
Features and integrations
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User Roles & Batch Registration
Efficient user management with role-based access control (Contributors, Chapter Leads, Admins, and Public Viewers) and batch registration capabilities for location and chapter-based organization
AI-Enabled WhatsApp Chatbot
AI enabled chatbot that interactively facilitates reflection and story capturing, generating story links upon completion
Meta-Tagging and Content Organisation
Allow for categorising stories through regions and themes and discoverability through collection pages and dashboards
AI Annotation
Annotation and coding of fragments allows a deeper understanding of specific points brought up by the volunteers
User Analytics
Basic on-platform analytics to track user engagement and content contributions
Engagement Features
Features badges, reactions and thematic campaigns to encourage ongoing story-sharing, fostering an active storytelling community
Platform Intervention
Digital Storytelling for Qualitative Data Collection
Establishing a dedicated repository where volunteers can share nuanced stories and experiences using the WhatsApp chatbot, tagged annotation for continuous qualitative data collection
Enhanced Volunteer Engagement
Adds an important component to an already rich volunteer engagement strategy that enables reflection, sharing and celebration of individual experiences
Integration with Platform Commons (PC)
PC is used for Volunteer tracking and management, with oAuth, volunteers now have single sign on and data from the platform can be potentially integrated in MAD's overall MIS
Data-Driven Insights
The platform’s analytics capabilities facilitate the extraction of nuanced insights from qualitative data, supporting strategic decision-making as MAD scales across geographies
