GenAI learning loop: Refine → Extract → Synthesize → Re‑learn → Act
- Refine: AI moderators and digital twins fine-tune hypotheses and instruments before fieldwork.
- Extract: Auto-tagging and transcription cut manual effort while improving signal capture.
- Synthesize: Models unify primary, secondary, and social data into a single coherent story.
- Re-learn: Past market research is continuously queried to focus on the right business questions.
- Act: N=1 understanding enables real action across segments and stakeholders.
Comprehensive Market Research Capabilities
Build a strategic foundation for decisions, anchored in market reality.
- Market sizing frameworks: treatment patterns + epidemiology, claims/EMR, competitive data
- Dynamic competitive intelligence (pipeline, scientific narratives, go‑to‑market moves)
- Cross‑source synthesis into decision‑ready stories
Pressure-test early and prioritize the right opportunities.
- GenAI TPP developer for rapid versioning, internal review, and refinement pre‑MR
- Concept/message testing with real stakeholders and synthetic personas to de‑risk before field
- Narrative shaping, positioning, and value proposition validation
Forecast uptake with precision, grounded in real behavior.
- Uptake curves by segment & channel integrating physician behavior and patient flow
- Triangulation across primary, secondary, and analog benchmarks
- Stress‑testing for pricing, access, and promotional scenarios to inform launch planning
Precision targeting that scales impact.
- Micro-segmentation using sales data + ProcDNA’s AUXO (HCP digital footprint)
- Psychographic/behavioral lenses to uncover subconscious drivers of choice
- Tailored messaging and channel strategies for priority segments
Continuous feedback loops from HCPs, payers, and patients.
- AI-moderated IDIs & insight sessions (text/video) for quick‑turn cycles; Smart Probes clarify open ends in quant
- Auto‑tagging/transcription speeds synthesis across large qual datasets
- ATUs (Awareness, Trial, Usage) with ECHO rapid cycles to capture the market’s voice and course‑correct in near real time
Illuminate end-to-end experiences to unlock growth.
- Journey insights f from symptoms to treatment, adherence, and follow‑up
- Mapping moments that matter across HCPs, payers, caregivers, and sites of care
- Patient Journey Framework to identify barriers/triggers and guide interventions
Qual-quant programs built for speed and depth.
- AI accelerators: Qual Sense, AI-powered Insight Sessions, Smart Probes, Insights 360
- Panels augmented with Synthetic Respondents(AI‑powered collective voice/virtual focus groups) to prioritize before fielding
- Hybrid designs to validate hypotheses efficiently and scale learning
- GenAI-Driven Market Research: We move beyond project-based research to an always-on, adaptive insight loop that continuously learns, synthesizes, and informs decisions.
- Human-Centered, Data-Rich Insights: Proprietary AUXO data combined with SDoH and primary research uncovers the real “why” behind customer behavior.
- Agentic AI Ecosystem: Purpose-built accelerators applied to the right business questions, delivering faster and more relevant insights across qualitative and quantitative research.
- Synthetic Personas, Built Right: Grounded in historical research and real-world data, rigorously validated, and guided by human expertise before real-world testing.
- Operational Flexibility: Deploy within ProcDNA or your own tech stack, with flexible persona management and no long-term platform lock-ins.
Key Outcomes
Faster Insight Cycles
AI-accelerated workflows shorten time from hypothesis to decision.
Competitive Advantage
Integrate past market research, secondary data, and social signals into one living narrative.
N=1 Customer Understanding
Digital twins enable hyper-personalized insight at speed.
Stronger Launch Readiness
Demand forecasts and ECHO/ATUs help teams course-correct in real time.
Global Research Capabilities
United States & Canada | Europe & United Kingdom | South America | China & Japan | Australia & India | Other Regions

