Decisions fail when you misread
how stakeholders connect ideas.

We record each person's stated cause-and-effect beliefs about the concepts you choose. 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? Get Causality collects these maps through a survey, so you can gather them from thousands of people and compare them.

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.

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 their map is shaped: simple chains or feedback loops. The output is a map of their thinking, plus statistics showing whether different groups think differently.

(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 rate how strongly each concept affects the others 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.

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.

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 which causes each person links to that answer, so you can see groups that agree for different reasons. Same opinion, completely different thinking. You need the why to design messages that work.

Most of the time in a causal-mapping study goes to cleaning responses, reshaping matrices and writing scripts before any test runs. Get Causality does that step for you: import or collect the data, choose your analyses, and the platform builds the group maps and runs the comparisons. Run time depends on sample size and which analyses you choose.

At public launch the Free plan will include the model builder (up to 25 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.

No. Outputs are stated beliefs. The platform does not estimate causal effects from data or forecast outcomes.

You can import .json, .csv and .xlsx files: survey exports, model JSON files and Excel adjacency matrices. The platform reads the format from the file extension and converts it, so you do not need to reshape the file by hand.

Two kinds. Comparison analyses set individual and group maps against each other: where people agree, which links are shared or contested, and whether groups' ratings differ more than chance, among respondents shown each link. Population analyses work on the combined map: which concepts have the most total influence (direct + indirect) in the combined belief map, what people's beliefs imply if a factor is pushed up or down, how certain each link is, and how often people pick each concept. Each result comes with a chart, a plain-language guide and a Word/PDF report.

Yes. Data is encrypted in transit (TLS 1.2+) and at rest, and direct identifiers such as email addresses, names and IP addresses are additionally encrypted with AES-256-GCM before storage. Passwords are hashed with bcrypt. A built-in PII filter strips personally identifiable columns from data you import before it reaches any analysis. Two-factor authentication via TOTP or email codes. IP allowlists for sign-in. Researchers can export or delete their account data themselves, and survey participants can access, correct, restrict or erase their responses through our Data Rights Portal; our GDPR compliance program is still in progress, and our Privacy Policy describes what is in place today. Custom data-handling agreements available for IRBs with specific requirements.

Institutional SSO (SAML 2.0 and OpenID Connect) and the per-institution 2FA policy that rides on it are Enterprise only. WebAuthn/FIDO2 passwordless login, trusted-device management, audit logging and intrusion-detection alerting are not tier-gated at all: they are on every plan, including Free. All security events logged with user ID, IP, and timestamp for IRB and compliance review.

At public launch you will be able to pay monthly or annually. All plans include feature updates as we add them. Contact us for current pricing, including enterprise and multi-seat options.

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.

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

Analyses run in your browser: the platform uses Web Workers and in-browser WebAssembly (Pyodide), with WebLLM/WebGPU for language-model features, to run the analyses client-side, so analysis results are computed on your machine. Survey responses themselves are stored on our servers, and each respondent's individual cognitive map is built there when they submit.

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.

Just reach out. For general questions, email [email protected]. To schedule a demo for your team, contact [email protected]. Support response times vary by plan: 48 hours on Academic, 24 hours on Academic Plus, Academic Pro, Researcher and Professional, 12 hours on Team, and a dedicated contact on Enterprise. Free accounts use the community channel. Beta users get priority support and direct access to our development team.