BEYOND Insights

Research Platform

Research teams should not need five tools to finish one study.

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 problem was never just one tool. It was the handoff between them.

The old reality

1

Survey Platform

Programming & fielding

Export
2

Sample Vendors

Panel management & quotas

Reformat
3

Scripts & Spreadsheets

Cleaning, weighting, recodes

QA Risk
4

Specialist Software

SPSS, SAS, R, Sawtooth, Latent Gold, AMOS

Specialist Handoff
5

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

One continuous flow. Zero handoffs.

01

Build

02

Field

03

Validate

04

Process

05

Analyze

06

Deliver

One platform. One data trail. No handoffs, no reformatting, no specialist bottlenecks.

The Workflow

Six stages. One platform. Zero handoffs.

Built around the real workflow research teams use every week — from survey programming through final delivery.

Build

Survey Authoring

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.

Field

Field Management

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.

Validate

Quality Control

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.

Process

Data Tables

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.

Analyze

Advanced Analytics

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.

Deliver

Dashboards + Reports

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

Expert methods, fewer specialist bottlenecks.

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.

Choice & Optimization

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

Structure & Segmentation

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

Pricing & Demand

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

Drivers & Diagnostics

Driver Analysis

Shapley value decomposition, importance-performance quadrant

SWOT Analysis

IPA classification, strategic quadrant framework

Correlation Analysis

Pearson/Spearman, significance testing, heatmaps

Text & Profiling

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

The work should not have to be rebuilt at the end.

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.

Interactive dashboards

Custom dashboards for stakeholders who want to filter and explore

Web-native reports

Browser-based reports with richer storytelling, branded and shareable

PDF & PowerPoint

Formatted decks and documents ready to share with stakeholders

Production data tables

Banner cross-tabs with stat testing, scale summaries, and NETs

Simulators & models

MaxDiff simulators, pricing models, segmentation outputs

Cleaned datasets & datamaps

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

What happens when the stack becomes one workflow.

One governed data trail

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 built into the workflow

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.

Faster path from field to deliverable

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.

Enterprise-ready infrastructure

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.

BEYOND Insights

From survey build to stakeholder-ready output. One governed workflow.

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.