Get Causality is designed for desktop — open on a larger screen for the full modeling experience.

Decisions fail when you misread
how stakeholders connect ideas.

Get Causality captures the mental models behind survey answers, at the scale of thousands. Map how people reason, compare how segments differ, and simulate interventions. It runs standard surveys too, with the same in-browser analysis.

Nodes: 0 | Edges: 0
1 → 100,000+
Respondents aggregated per study
40+
Analysis methods
100%
Browser-side compute
.docx · .pdf · .csv
Publication-ready export
02 // Why Get Causality

Built for research that has to hold up.

Same instrument, four research jobs. Each backed by peer-reviewed methods, automated for scale.

01

Capture Expert Knowledge

Convert qualitative interviews and surveys into formal causal models. No PhD in graph theory required.

02

Scale to Thousands

Aggregate individual mental models into population-level diagrams. See where consensus emerges and where it fractures.

03

Test Scenarios

Run what-if simulations on the model. Quantify how a policy lever ripples through the system before you ship it.

04

Compare Perspectives

Filter by demographic, role, or expertise. Surface the structural disagreements that drive policy stalemates.

03 // Workflow

From mental model to insight in four stages.

Self-service end-to-end. Optional facilitated workshops at the start.

Workflow stage

Try it · Stage 4 simulator

Intervention Optimizer + Survey-Scale Translator.

RL-based Q-learning over an 8-concept climate-policy network. Drag the levers and system-wide impacts update in real time, translated back to the original 7-point Likert scale so policy shifts stay readable to non-technical stakeholders.

+0.50
−1 Suppress0+1 Activate
+0.50
−1 Suppress0+1 Activate
+0.50
−1 Suppress0+1 Activate

Predicted system impact · translated to original 7-pt Likert response

CO₂ Emissions Reduction
+0.55
Economic Resilience
+0.10
Energy Security
+0.45
Public Support
+0.55
AI Recommendation · Q-Learning

Optimal policy across the 8-concept climate-policy network: Carbon Pricing 0.7, Renewable Subsidies 0.8, Public Awareness 0.6. Predicted system-wide impact 3.4× higher than baseline. Indirect effects propagate through Grid Capacity, Job Transitions, and Energy Affordability across 3 feedback loops in the discovered causal structure.

04 // Use Cases

Where teams already use Get Causality.

Domain-neutral platform. Each card links to a representative study with concept set, segment design, and figures.

Use case

Platform-style example
05 // Why causal modeling

Why causal modeling, when you already have regression and Structural Equation Modeling.

Causal modeling doesn't replace your methods stack. It answers a different question. Regression tells you the average answer. Causal modeling tells you how people got there.

Gives you the average

Regression

Tells you the average answer across everyone. It doesn't tell you how anyone got there.

Checks your theory

Structural Equation Modeling

You write down a theory and SEM checks if the data fits it. Causal modeling asks each person what their theory is, then compares them.

One diagram for everyone

Causal Discovery

Builds one diagram that fits the whole group. Causal modeling keeps every person's diagram, so you can see who agrees and who doesn't.

An expert builds the model

System Dynamics

An expert draws the loops and runs the simulation. Causal modeling lets thousands of regular people draw their own, so you see which loops people actually believe.

Two people can give the same answer for completely different reasons. Surveys average that away. Causal modeling shows the reasons.

06 // Pricing

Eight tiers. Beta locks the rate.

Contact us for current pricing. Founding members lock in a founding rate for two years after public launch.

EDU LICENSE

Free

Start for free · no card required

Learning FCM basics, run a pilot

  • Model Builder (up to 50 concepts)
  • Basic single-model analysis
  • 1 survey, 100 responses
  • CSV / PNG export
  • Community support
Talk to us →
EDU LICENSE

Academic

Institutional rates available

Requires .edu verification

  • All Multi-Model analyses (15+)
  • QAP · Mantel · Cluster · GNN
  • Goal-Seek Optimizer (3 modes)
  • 10 surveys · unlimited responses
  • All export formats
  • Email support · 24-48h
  • Meta Models
  • Predictive Cognition
  • LLM FCM Builder
Talk to us →
EDU LICENSE

Academic Plus

Multi-site & consortium pricing

Multi-Model + Meta Models

  • Everything in Academic, plus:
  • Meta Model analyses (25+ AI/ML)
  • TCEC · Monte Carlo · Bayesian
  • GraphSAGE · Causal Discovery
  • Goal-Seek Ensemble
  • 25 surveys · unlimited responses
  • Predictive Cognition
  • LLM FCM Builder
Talk to us →
EDU LICENSE

Academic Pro

Full platform · edu pricing

Unlock Predictive Cognition + LLM FCM Builder

  • Predictive Cognition
  • GAN (SN-GAN) · Transformer
  • RL Policy Optimization
  • LLM FCM Builder (browser-local)
  • Everything in Academic Plus
  • Every analysis on the platform
  • Priority support · 24h
Talk to us →
COMMERCIAL

Researcher

Solo & small-team rates

Consultancies, small teams

  • Commercial license included
  • All Multi-Model analyses
  • Goal-Seek Optimizer (3 modes)
  • LLM FCM Builder (browser-local)
  • 10 surveys · unlimited responses
  • Priority support · 24h
  • Meta Models
  • Predictive Cognition
Talk to us →
COMMERCIAL

Team

Volume & multi-seat pricing

Research teams & organizations

  • Everything in Professional
  • 10 team members included
  • White-label branding
  • Priority support · 12h
  • Dedicated account manager
Talk to us →
ENTERPRISE

Enterprise

Custom contract · SLA included

Tailored for large institutions

  • Everything in Team
  • Unlimited team members
  • SSO & SAML 2.0 / OIDC
  • Integrations
  • Enterprise SLA
  • Training & onboarding
Talk to us →
07 // FAQ

Frequently asked.

What is Get Causality?

We measure how people organize information in their heads: their mental models. Surveys tell you people's opinions. We show you how they're thinking about the problem. Do they see it as one thing causing another in a line? Or do they see a complex web of interconnected causes? That difference matters because you can't convince someone by arguing against their mental structure.

What is a mental model?

A mental model is how someone internalizes cause-and-effect relationships in their head. It's their personal theory of how things work. For example, one person might think "more regulation → less pollution → better health." Another might think "more regulation → higher costs → job losses → worse health." Same topic, completely different mental models. Understanding these differences is key to effective communication and policy design.

What does it actually measure?

Three things. (1) What concepts people connect: do they link "climate change" to "fishing" or not? (2) How they connect them: does A cause B, or do they affect each other? (3) How complex their thinking is: simple chains vs. feedback loops. The output is a map of their thinking, plus statistics showing whether different groups think differently.

How does the platform work?

(1) Join the waitlist. Get Causality is in closed beta, no billing yet. (2) Create a survey with our drag-and-drop builder, or import existing data. (3) Share a link and participants draw their mental models in their browser (no app install). (4) Platform aggregates responses into analyzable networks automatically. (5) Run analyses with one click: centrality, clustering, group comparisons. (6) Export publication-ready visualizations and statistics.

Who is this for?

Anyone who needs to understand stakeholders before making big decisions: consultants doing stakeholder analysis for clients, companies launching new products or policies, governments designing public policy, and researchers studying how people understand complex issues. All of them currently guess at how stakeholders think. We measure it.

How is this different from a regular survey tool?

It is a full survey tool: build, distribute, and collect standard surveys, and analyze the results (descriptive stats, reliability, correlations, group comparisons, cross-tabs) right in your browser. The difference is what else it captures: surveys ask the questions you think matter; we also let people tell us what they think matters and how it all connects. Example: a survey asks "Do you support climate policy?" and gets 60% saying yes. We show you why: some see economic benefits, others moral duty, others system collapse. Same opinion, completely different thinking. You need the why to design messages that work.

How long does analysis actually take?

Traditional FCM analysis can take weeks between getting survey responses and having results, with most of that time spent on data cleaning, reformatting, and writing R scripts. Get Causality automates this workflow. Import your data, select your analyses, and get results in minutes instead of weeks. The platform aggregates 100,000+ participant responses into comparable group networks for demographic comparison, with automated visualizations.

What's included in the free plan?

At public launch the Free plan will include the model builder (up to 50 concepts), 1 survey, basic single-model analysis, and CSV/PNG export, built for students, small pilot projects, or evaluating the platform. We're in closed beta right now; join the waitlist for early access and a founding rate.

What data formats can I import?

We support most common FCM data formats. You can import survey exports (CSV or JSON), standard FCM JSON files, Excel adjacency matrices, or just paste directly from a spreadsheet. The platform automatically detects your data format and handles the conversion, so you don't need to manually reformat anything.

What kind of analyses can I run?

40+ analysis methods across four categories. Network Analysis: centrality, clustering, structural equivalence, motif detection, QAP tests, group comparisons. Machine Learning: ML ensemble, SHAP explainability, latent class, cross-validation. Causal Discovery: PC algorithm, GES, LiNGAM, scenario modeling. Predictive: GAN-based synthetic data, RL policy optimization, intervention simulation. All with automated visualizations, interpretation guides, Word/PDF reports.

Is my research data secure?

Yes. All data is encrypted in transit (TLS) and at rest (AES-256-GCM). Passwords are hashed with bcrypt. A built-in PII filter automatically strips personally identifiable columns from uploaded data before it reaches any analysis pipeline. Two-factor authentication via TOTP or email codes. IP allowlists. GDPR compliant with full data export and account deletion. Custom data-handling agreements available for IRBs with specific requirements.

What enterprise security features do you offer?

Enterprise and Team tiers add institutional SSO (SAML 2.0 and OpenID Connect), per-institution 2FA enforcement, WebAuthn/FIDO2 passwordless login, trusted device management, comprehensive audit logging, and intrusion detection alerts. All security events logged with user ID, IP, and timestamp for IRB and compliance review.

How does billing work?

You can pay monthly (cancel anytime) or annually. All plans include feature updates as we add them. Contact us for current pricing, including enterprise and multi-seat options.

Can I try it before committing?

Yes. Explore the live demo above with example models — no account needed. When you're ready, join the beta waitlist for early access and lock in a founding rate for two years after public launch.

Can I cite Get Causality in publications?

Yes. We appreciate (but do not require) a citation. Suggested APA: Prasky, E. (2026). Get Causality: Browser-based fuzzy cognitive mapping research platform [Software]. https://get-causality.com. BibTeX and in-text formats in the Terms of Service.

Where does computation happen?

All analyses run entirely in your browser. Your data never leaves your machine for computation. The platform uses Web Workers and in-browser WebAssembly (Pyodide), with WebLLM/WebGPU for language-model features, to perform network analysis, machine learning, and causal discovery client-side. This means no data is sent to external servers for processing, which simplifies IRB compliance and data governance.

Can I collaborate with co-investigators?

Yes. Professional and Team plans include shared team access with role-based permissions. Team members can view surveys, run analyses, and export results from a shared workspace. Enterprise plans offer unlimited team members with SSO integration.

What if I have more questions?

Just reach out. For general questions, email [email protected]. To schedule a demo for your team, contact [email protected]. Paid users get technical support with a 24-hour response time. Beta users get priority support and direct access to our development team.

08 // Get Access

Reserve your founding rate.

Closed beta, no billing yet. Founding members lock in a founding rate for two years after public launch.