Transforming Open-Ends with Synthetic Enrichment and Scoring

Challenge: Turning Messy Qualitative Input into Actionable Insight at Scale

A global consumer electronics brand approached DataDiggers during a high-stakes product launch. The brand needed rapid feedback from diverse markets on early-stage concept testing for a wearable device — with particular interest in the "why" behind consumer sentiment.

They wanted to include open-end questions to capture rich, unstructured feedback from over 5,000 participants across five continents. However, they faced three key challenges:

• Time pressure: Manual coding of open-ends would delay insights by weeks.
• Quality control: Cross-language consistency and coder bias posed major risks.
• Depth and comparability: The team needed scores to benchmark emotional response, relevance, and intent.

Solution: Syntheo’s Synthetic Open-End Enrichment and Scoring

To meet these demands, DataDiggers deployed Syntheo, its proprietary AI solution for generating synthetic insights through realistic digital personas.

In this case, Syntheo was applied to automatically enrich, interpret, and score thousands of open-end responses in real-time. The system processed multilingual data from English, Spanish, German, Mandarin, and Arabic respondents, leveraging natural language processing (NLP) and a large persona-based language model trained on culturally nuanced datasets.

What Syntheo Delivered:

• Semantic Clustering & Topic Tagging
  Automatically grouped responses by theme, intent, and emotional tone — without requiring pre-coded lists.
• Synthetic Persona Interpretation
  Modeled how digital twins (persona simulations) from each target group might interpret or extend typical responses — revealing hidden patterns in intent or expectations.
• Dynamic Scoring Engine
  Assigned confidence-weighted scores for variables like enthusiasm, concern, novelty perception, and purchase intent, enabling direct comparison across demographics and markets.
• Multilingual Normalization
  Applied localized syntactic and semantic enrichment to ensure expressions in different languages were assessed using culturally accurate logic.

Results: Faster, Deeper, More Actionable Insights

Thanks to Syntheo’s synthetic open-end enrichment module, the client received:

• Insight delivery in under 36 hours, compared to the standard 2–3 week turnaround for manual coding.
• 40% deeper insight penetration, as measured by unique topic clusters and emotional markers discovered compared to previous projects using only manual coding.
• 3x increase in cross-market comparability, due to standardized scoring metrics applied equally across all languages.
• Improved decision confidence, with qualitative insights structured for direct integration with quantitative metrics.

These synthetic scores were visualized directly in Brainactive, DataDiggers' DIY platform, allowing the brand team to filter and segment results by age group, geography, product familiarity, and more — all in real time.

Why This Matters: Elevating the Value of Qualitative Data

This case showcases how Syntheo transforms open-end responses from a post-survey burden into a proactive strategic asset. In high-speed decision cycles, synthetic enrichment and scoring offer a credible, scalable, and privacy-safe way to tap into the "why" behind consumer behavior — especially when audiences are large, global, or hard to reach.

With traditional verbatim analysis increasingly impractical at scale, Syntheo enables:

• Faster time-to-insight without compromising depth
• Bias-resistant, replicable qualitative benchmarking
• Smarter segmentation using synthetic scoring vectors
• Early exploration when real respondents are unavailable or scarce

Beyond Enrichment: How Syntheo, Modeliq, and Correlix Work Together

Syntheo is just one part of DataDiggers’ synthetic intelligence ecosystem. For scenario testing and simulation, clients turn to Modeliq, which uses the enriched data to run what-if projections and behavioral forecasts. For bias correction, data augmentation, and at-scale modeling, Correlix applies statistical rigor to ensure synthetic data mirrors real-world behavior — without compromising on privacy or quality.

Together, these tools help clients move from reaction to anticipation, with insight generation that’s always-on, cost-effective, and built for modern research demands.

Client Testimonial

"Syntheo made it possible for us to process open-ends like never before — not just categorizing them, but truly understanding them. The scoring system gave us confidence in where and how to act globally. It's like having a cultural anthropologist, data scientist, and linguist in one AI engine."
— Global Insights Manager, Consumer Electronics Brand

Conclusion: A New Era for Open-End Analysis

DataDiggers continues to push the boundaries of what’s possible in AI-driven market research. By combining Syntheo’s persona-based synthetic intelligence with our proprietary panels, global reach, and robust data quality standards, we help clients unlock faster, more insightful decisions — even in the face of complexity, scale, or language diversity.

Ready to explore how synthetic enrichment can elevate your next qualitative study?

Contact us or learn more about Syntheo