How Ganas Network Used Manta to Transform Grant Reporting and Engagement Analysis
The Ganas Network needed a more efficient way to analyze program impact for grant reporting and understand what drives fellow engagement.
The Challenge
The Ganas Network runs fellowship programs to develop education advocates, but faced significant challenges in analyzing and reporting program outcomes for funders and understanding what drives successful fellow engagement.
Key Pain Points:
Time-consuming grant reporting process requiring manual data analysis
Difficulty identifying which intake factors predicted fellow engagement
Limited ability to quantify program impact with concrete metrics
Challenges tracking engagement patterns across different fellowship cohorts
Data integrity issues with disconnected datasets across cohorts
The Manta Solution
The Ganas Network deployed Manta to analyze their fellowship data across multiple cohorts, saving hours of manual work while uncovering deeper insights about program effectiveness and participant engagement.
The Analysis
Manta performed multiple sophisticated analyses that would have taken significant manual effort:
Grant Reporting Acceleration: Transformed raw program data into comprehensive impact narratives for funders, showing concrete metrics like a 1.57-point average improvement in fellows' understanding of advocacy pathways
Engagement Prediction: Identified that career development readiness factors, particularly networking and relationship-building skills, were the strongest predictors of fellow engagement
Program Evolution Analysis: Revealed that more recent cohorts had dramatically higher engagement rates, validating program improvements over time
Data Integrity Improvement: Identified "orphaned" data points across datasets, enabling better tracking of fellows across program stages
Organization Impact
Current Impact:
Reduced grant reporting time by 2-3 hours while producing more comprehensive analyses
Validated the connection between career development and advocacy skills
Identified key engagement predictors to inform future program design
Provided concrete metrics to strengthen future grant applications
Enhanced confidence in program effectiveness with data-backed insights
Future Applications:
Tracking long-term vs. short-term engagement patterns across cohorts
Designing program elements that build the specific skills that predict engagement
Strengthening grant applications with data-driven impact models
Creating more targeted development opportunities for fellows
Key Takeaways
Enhanced Funding Strategy: Manta transformed not just reporting but how Ganas approaches impact measurement from the beginning of grant cycles
Integrated Program Design: The analysis revealed that career development and advocacy skills development aren't separate tracks but interconnected competencies
Data-Driven Decision Making: Replacing perceptions with concrete data has validated program leadership's approach while providing new insights
Program Evolution Validation: The analysis confirmed dramatic improvements in fellow engagement across cohorts, validating program changes
Conclusion
By leveraging Manta for grant reporting and engagement analysis, the Ganas Network not only saved significant staff time but gained deeper insights into what actually drives fellow success, enabling more strategic program design and stronger relationships with funders.