The methodology that makes
the output defensible.
Every claim is sourced. Every estimate is labeled. Every deliverable is built so your team can validate it with confidence.
Not all sources are equal. We rank them.
Every data point in a Soundcheck deliverable is tagged with its source tier. Higher tiers are always preferred. Lower tiers are used only when higher-tier data is unavailable, and they are explicitly flagged.
Government and official sources (preferred)
USDA, U.S. Census Bureau, BLS, SEC EDGAR, FDA, Eurostat, national statistical offices, central bank publications.
Syndicated research
Euromonitor, IBISWorld, Statista, SimilarWeb, Nielsen, Mintel, GlobalData.
Industry associations and regulatory filings
Trade bodies, industry associations, regulatory filings, patent databases, professional surveys.
Web and media
News outlets, press releases, analyst commentary, web scraping, social-media intelligence.
Used only when T1 through T3 are unavailable. Always explicitly flagged in the deliverable.
Every claim is tagged. Nothing is presented without context.
Every statement in a Soundcheck deliverable carries two labels: a claim type (what kind of statement it is) and a confidence level (how strongly the evidence supports it). The reader always knows exactly what they are looking at.
AI generates the research base. Your team makes it decision-grade.
The AI layer accelerates data collection, synthesis, and pattern recognition. Your team validates source quality, adjusts confidence labels, adds strategic context, and decides when the output meets the standard they would present to leadership.
AI research base
Data collection, source ranking, claim typing, and initial synthesis across hundreds of sources.
Team review
Your team validates sources, adjusts confidence labels, shapes the narrative, and layers on strategic interpretation.
Decision-grade output
A deliverable your team owns and can present at a board review, not an AI output that needs a disclaimer.
Quantified readiness. Not gut feel.
Two proprietary scoring models convert qualitative research into a single, defensible number your team can track over time.
Coefficient of Viability of Expansion
0 to 100
Used in: GoGlobal Viability Analysis
Scale-Readiness Score
0 to 100
Used in: Scale Assessment
Structured qualitative rigor, not open-ended chatbot output.
Virtual Focus Groups follow established focus group research methodology adapted for synthetic audiences. Every session is moderated, structured, and analyzed with the same discipline your team would apply to a live panel.
Funnel-approach discussion
Sessions follow a structured funnel: engagement (category relationship), exploration (perceptions and unmet needs), concept probing (per-element reactions), comparison and prioritization, and exit reflections.
Neutral moderation principles
Open-ended, unbiased questions. Dominant voices are managed, quiet participants drawn out. The moderator never leads or shows agreement. Every surface reaction is probed for the “why.”
Group dynamics simulation
Personas interact as they would in a real group. Social influence, challenges, and validation shifts are simulated realistically and flagged as [GROUP DYNAMIC] in the analysis.
Information typing
Every reaction is tagged: [PERSONA-CONSISTENT] (traceable to profile traits), [INFERRED] (reasonable extrapolation), or [GROUP DYNAMIC] (emerged from interaction). Your team always knows what drove each finding.
Qualitative analysis
Thematic coding by frequency, intensity, and breadth. Cross-segment comparison between current buyers and aspirational targets. Sentiment mapping. Every finding paired with a strategic implication.
Structured report output
Detailed per-persona reactions, cross-concept insights, traceable preference votes (math matches actual panel size), attributed participant quotes, and actionable recommendations with confidence levels.
Every Virtual Focus Group report explicitly states that this is an AI simulation with synthetic personas. Findings are directional and should be validated with real consumer research before major investment decisions.
Transparency is the credibility signal.
Every proxy, assumption, and data limitation in a Soundcheck deliverable is logged explicitly. Your team sees exactly where the evidence is strong and where it is not.
Source
Where the proxy or assumption originated.
Rationale
Why this proxy was selected over alternatives.
Confidence
How strongly the evidence supports the assumption.
Impact
What changes in the output if the assumption is wrong.