
Research Platform
Survey programming, field management, data processing, QA, and advanced analytics in one platform. Built for research teams who are done stitching together five tools to finish one study.
6
Integrated stages
16
Analytics modules
1
Governed data layer
0
Rebuilds at delivery
The Problem
The old reality
Survey Platform
Programming & fielding
Sample Vendors
Panel management & quotas
Scripts & Spreadsheets
Cleaning, weighting, recodes
Specialist Software
SPSS, SAS, R, Sawtooth, Latent Gold, AMOS
Yet Another Tool
Dashboards, tables, reports
Programming lived in one platform, fieldwork in another.
Cleaning, weighting, and recodes happened in scripts and spreadsheets.
Advanced methods depended on separate software and specialist knowledge.
Every export introduced delay, version drift, and QA risk.
The BEYOND Workflow
Build
Field
Validate
Process
Analyze
Deliver
One platform. One data trail. No handoffs, no reformatting, no specialist bottlenecks.
The Workflow
Built around the real workflow research teams use every week — from survey programming through final delivery.
Import from Word, build with drag-and-drop, preview in real time. Supports 15+ question types including grids, ranking, MaxDiff, and semantic differentials. The built-in BI Agent handles complex programming like skip logic, piping, and conditional routing.
Track sample by source, manage quotas in real time, monitor LOI and completion rates. Supplier-level quality scoring, device mix reporting, and completion forecasting are built into the same view.
Quality runs in four stages: fraud prevention before entry, behavioral checks during the survey, automated scoring after completion, and human review for edge cases. Speedster thresholds are computed from the data, not set arbitrarily.
Bannered cross-tabs with column proportion tests, chi-square gating, and scale summaries. Supports custom NETs, weighted data, and Bonferroni adjustment. Exports to formatted Excel with cover pages, stat letters, and table of contents.
Sixteen modules covering choice modeling (MaxDiff, Conjoint, TURF), pricing (Van Westendorp, Gabor-Granger), structure (Factor Analysis, LCFA, Segmentation), drivers (Shapley, SWOT), profiling (Audience Affinity, Expectancy), and text analysis. All run against the same dataset without exporting.
Pin any table or analysis output to an interactive dashboard. Export to PDF or PowerPoint. Generate scopes of work and invoices. Everything stays connected to the underlying data, so refreshing a deliverable takes seconds, not hours.
Advanced Analytics
Built so research teams can run sophisticated analysis with guided setup, governed data, and outputs designed for decision-making — without relying on a separate stack of specialist tools.
MaxDiff Design Builder
Experimental design generation, BIB optimization
MaxDiff Counting
Best-Worst scoring, ranked item tables, confidence intervals
Conjoint
Choice-based conjoint, HB estimation, market simulator
TURF
Reach optimization, guided lineup builder, exhaustive search
Factor Analysis
PAF extraction, Varimax/Promax rotation, parallel analysis
Latent Class FA
Heterogeneity diagnostics, per-class loadings, BIC comparison
Segmentation
K-Means, Hierarchical, Latent Profile, Consensus Ensemble
Van Westendorp
Price sensitivity meter, four-curve intersection, take rates
Gabor-Granger
Demand curves, revenue optimization, elasticity
Expectancy Analysis
Brand performance vs. size-adjusted expectations, halo correction
Driver Analysis
Shapley value decomposition, importance-performance quadrant
SWOT Analysis
IPA classification, strategic quadrant framework
Correlation Analysis
Pearson/Spearman, significance testing, heatmaps
Text Analytics
Automated codebook, semantic clustering, response coding
Audience Affinity Profiling
Index-scored cross-tabs, chi-square, segment comparison
MOE Estimation
Sample sizing, margin of error, statistical power
No sidecar software stack required. Conjoint CBC and SEM modeling on the roadmap.
What Comes Out
Most research workflows break again at the reporting stage. Tables get exported, charts get rebuilt in a different tool, and decks turn into manual QA exercises. Here, everything stays tied to the data. Update the source and the output updates with it.
Custom dashboards for stakeholders who want to filter and explore
Browser-based reports with richer storytelling, branded and shareable
Formatted decks and documents ready to share with stakeholders
Banner cross-tabs with stat testing, scale summaries, and NETs
MaxDiff simulators, pricing models, segmentation outputs
Weighted, recoded XLSX, SPSS-ready files, variable maps, and open-end exports
All connected to the same underlying data and governance trail. No manual chart swaps. No copy-paste deck rebuilds.
What Changes
Every analysis, export, and deliverable traces back to the same dataset on the same platform. When something looks off in a chart, you can trace it back to the source table in seconds. No version-control guesswork.
Quality checks run automatically at completion, not as a manual step days later. Speedster thresholds are computed from the actual data distribution. Outliers are Winsorized at the 95th percentile, not dropped.
The analysis runs where the data already lives. No exporting to a separate tool, no reformatting for a different system, no waiting on the one person who knows the specialist software.
Hosted on SOC 2 Type II compliant cloud with row-level security, encryption at rest and in transit, and automated backups. Each study's respondent data is isolated. Role-based access controls who sees what.

If your team is spending more time moving data between tools than actually analyzing it, we should talk. We built this platform to replace that stack.