international NGO
digitize research workflows
AI personas
hard-to-access communities
A global NGO focused on public health and gender equity needed to assess behavioral attitudes and barriers to care in rural Sub-Saharan Africa. The target population included young women aged 15–24, many of whom were in communities with limited or no digital access. Traditional field research was time-consuming, expensive, and limited in scale due to logistical constraints and data collection challenges.
They needed:
The NGO turned to DataDiggers for a next-generation research approach. We proposed a hybrid design using our AI-powered Syntheo solution, which generates high-integrity synthetic insights based on richly detailed digital personas trained on verified behavioral and attitudinal data.
✅ Developed 8 AI personas representing different subgroups of the target population, based on socio-demographic, cultural, and behavioral factors
✅ Modeled realistic response patterns for sensitive topics such as contraception use, gender-based violence, and access to health services
✅ Used Modeliq to simulate how persona attitudes might evolve under different policy or outreach scenarios
✅ Applied Correlix for data augmentation to correct for sampling biases in historical datasets and enrich NGO’s internal knowledge base
✅ Delivered insights within 72 hours, instead of the typical 3–5 weeks with fieldwork
These insights helped the NGO test multiple intervention scenarios without initiating full-scale primary research in each target country—reducing costs by over 65%.
The NGO was able to build stronger, evidence-based cases for donors while ensuring that the voice of underserved communities remained embedded in program design—without waiting months for field data.
Syntheo’s digital personas replicate real human behavior, allowing researchers to explore nuanced attitudes and potential barriers in environments where real-time data collection is limited or impractical.
Modeliq enabled the NGO’s analysts to simulate interventions (e.g., awareness campaigns, mobile clinic rollouts) and test likely impact across multiple persona archetypes. Meanwhile, Correlix ensured the augmented insights were statistically sound, bias-corrected, and scalable to other program areas.
All three solutions operated within DataDiggers’ strict data validation and compliance framework, delivering insights that were not only fast and scalable but also credible and audit-ready for donor reporting and internal review.
“We couldn’t have reached this level of strategic clarity using traditional methods alone. DataDiggers helped us move from assumptions to evidence in just days, not months—without compromising on ethics or depth.”
— Program Director, International Health NGO
By leveraging DataDiggers' AI-driven solutions—Syntheo, Modeliq, and Correlix—this NGO successfully digitized its research workflow, accessed high-integrity insights from hard-to-reach segments, and optimized program strategies across multiple countries.
Whether you're an NGO, foundation, or development agency, DataDiggers empowers mission-driven organizations to research smarter, faster, and more ethically.
🔍 Syntheo: AI Personas for Early-Stage Exploration | 📊 Modeliq: Forecasting Outcomes with Synthetic Insights
🔐 Correlix: Bias-Corrected Synthetic Data for Scale | 💡 Contact Us to Discuss NGO-Focused Research Solutions