CASE STUDY

Make A Difference Storytelling Initiative

Active Citizenship, Social Impact, Education

Community Engagement, Program Innovation

CASE STUDY

50+

50+

50+

Active Chapters

Active Chapters

2,000

2,000

2,000

Total Volunteers Engaged Annually

Total Volunteers Engaged Annually

5000

5000

5000

Estimated Student Beneficiaries

Estimated Student Beneficiaries

The platform has made it possible for us to capture real, authentic stories from the ground. Volunteers are now able to easily share their experiences: what’s working, what’s challenging, and what’s shifting for the children they work with. It’s also become a way for us to listen better. We’re able to spot challenges that volunteers or children are facing in real time, and then design timely solutions

Akshay Chawda

Akshay Chawda

Director of Technology

Director of Technology

About the partner

Make A Difference (MAD) works with young people in child-care institutions across India, supporting them with long-term learning, emotional, and life-skills programs

Goal of the study

To understand how effectively volunteers are integrating MAD’s values into their day-to-day work, while creating space for reflection and peer learning across the volunteer community

Outcome of the study

With Dots, MAD brings together volunteer stories and feedback alongside structured MEL data, enabling real-time insights, faster decision-making, and a continuous learning loop across cities and shelters

The tagging feature allows volunteers to connect their story to MAD’s core values, helping them see how those values show up in real situations on the ground. It also helps recognize and celebrate others who were part of the moment, whether it’s a fellow volunteer, a child, or someone else from the community. That layer of recognition and connection makes the storytelling experience more meaningful

Akshay Chawda

Akshay Chawda

Director of Technology

Director of Technology

Features and Integrations

Features & Integrations

Image is representative


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

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

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

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

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

User Analytics

Basic on-platform analytics to track user engagement and content contributions

Engagement Features

Engagement Features

Features badges, reactions and thematic campaigns to encourage ongoing story-sharing, fostering an active storytelling community

The integration with MAD’s existing architecture through Platform Commons has made the experience seamless for our volunteers, with single sign-on removing the need to manage multiple logins. It’s also made user management easier for our teams, with access, roles, and permissions handled in one place

Akshay Chawda

Akshay Chawda

Director of Technology

Director of Technology

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

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

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

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

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

Current Status

MAD is moving from manual, periodic reporting to a continuous feedback system, where youth experiences and program performance inform interventions week-to-week, so as to strengthen program responsiveness and improve support for young people across India.

Current Status

MAD is moving from manual, periodic reporting to a continuous feedback system, where youth experiences and program performance inform interventions week-to-week, so as to strengthen program responsiveness and improve support for young people across India.

Current Status

MAD is moving from manual, periodic reporting to a continuous feedback system, where youth experiences and program performance inform interventions week-to-week, so as to strengthen program responsiveness and improve support for young people across India.