At an overarching level, this session explores a central question - How can data-backed design, systems, and learning loops, enable collectives to move from shared intent to mutually beneficial, self-sustaining joint action?

Through the experience of Saamuhika Shakti, this session will unpack the 'how-to' of evolution and operationalization of the mutually reinforcing activity principle. Presenters will share the tools, processes, and design principles that helped embed collaboration into the collective's design, the journey from integrating joint action into partner contracts to using the Collaborative Activity Log (CAL) and Standard Operating Procedures (SoPs) to make collaboration visible, measurable, and iterative.

Participants will gain insights on how data-informed and participatory design can foster accountability, learning, and trust-building, turning collaboration from an aspiration into a structured, self-reinforcing practice. The session will offer a replicable model for collectives seeking to strengthen early-stage alignment and accelerate purposeful collective action towards systems change.

Learning Questions:  This session will explore a central question: How can data-backed design, systems, and learning loops enable collectives to move from shared intent to mutually beneficial, self-sustaining joint action?

Drawing on six years of experience from Saamuhika Shakti, the session will examine key elements, including:

• How did the operationalization of Collective Impact principles, particularly mutually reinforcing activities, evolve across the two phases of Saamuhika Shakti, and what factors drove this evolution?
• What data-informed practices, tools, and systems were implemented to strengthen, sustain, and grow mutually reinforcing efforts?