Survey & Research Platform

Part of the worlds-biggest-software-project initiative.

An AI-native survey platform that combines survey design, panel management, and advanced statistical analysis at a price point accessible to mid-market research teams.

Survey & Research Platform is a full-lifecycle research tool for organisations that need more than a basic form builder but cannot justify the cost or complexity of enterprise experience-management suites. It targets product teams, market researchers, and operations leads who need to design surveys, recruit respondents, run statistical analyses, and share findings -- all without stitching together multiple tools or engaging professional services.

Why Survey & Research Platform?

Enterprise tools are priced out of reach. Qualtrics, the dominant enterprise platform, requires professional services engagements and enterprise contracts that exclude small research teams and independent researchers entirely.
Mid-market tools lack analytical depth. SurveyMonkey does not offer advanced statistical methods such as conjoint analysis, MaxDiff, or significance testing -- forcing quantitative researchers to export data and analyse it elsewhere.
Conversational tools ignore research rigour. Typeform optimises for completion rate and design polish but provides no statistical analysis engine, sampling controls, or panel management.
Open-source options are incomplete. Formbricks provides self-hosted data sovereignty but has minimal statistical analysis capabilities and no respondent recruitment support.
AI text analysis still requires a data science team. Incumbents either lack open-text theme extraction or lock it behind premium tiers, leaving most teams to manually code qualitative responses.

Key Features

Survey Design & Builder

Drag-and-drop survey builder supporting multiple choice, Likert, NPS, ranking, matrix, and open-text question types
Branching logic and skip patterns configurable without technical expertise
AI question assistant that generates survey drafts from a plain-text research objective
Completion rate prediction estimating drop-off risk for each survey design before launch
Multilingual support with machine-translation assistance and right-to-left layout

Distribution & Panel Management

Multi-channel distribution: email, SMS, web link, QR code, in-product intercepts, and API triggers
Audience panel integration for respondent recruitment with quota controls
In-app survey triggering based on user behaviour events for product teams
Longitudinal panel management for tracking respondent cohorts across multiple survey waves

Analysis & Reporting

Real-time analytics dashboard with cross-tabulation, sentiment analysis, and trend comparisons
Statistical analysis engine with significance testing, regression, conjoint analysis (MaxDiff), and sample weighting
Automated open-text theme analysis grouping and quantifying response themes without manual coding
AI-generated executive summary reports combining quantitative results and qualitative themes
Branded PDF/PPT exports, shareable live dashboard links, and scheduled digest emails

Experiment Design

Built-in A/B test and control group management bridging survey feedback and causal inference
Modular per-response pricing supporting capacity bursts for project-based researchers

Compliance & Collaboration

GDPR and CCPA compliance tooling with response anonymisation controls and data residency options
Role-based access, team workspaces, and full audit trail
Integration hub with connectors to Salesforce, HubSpot, Slack, Tableau, and 200+ tools via Zapier and native APIs

AI-Native Advantage

AI is embedded across the entire research lifecycle rather than bolted on as an upsell. The platform generates survey question wording, sequencing, and branching logic from a plain-text research brief, then predicts completion rates before launch so researchers can optimise design iteratively. After collection, automated open-text analysis groups and quantifies themes across thousands of free-text responses -- work that traditionally requires manual coding or a dedicated data science team. Synthesis reports combine quantitative and qualitative findings into executive summaries, reducing the turnaround from data collection to actionable insight.

Tech Stack & Deployment

The platform targets self-hosted, cloud, and hybrid deployment modes. Self-hosted deployment via Docker Compose or Kubernetes is a first-class option for organisations requiring full data sovereignty. The statistical analysis engine can be built on standard open-source libraries (Python scipy, statsmodels, R) with no patent barriers. Standard survey question formats (Likert, NPS, semantic differential) are academic conventions with no IP encumbrances. Integration is exposed through a REST API and webhooks, with Zapier and native connectors for major CRM and data warehouse platforms.

Market Context

The survey and research platform market is dominated by Qualtrics (13,000+ organisations, enterprise pricing) and SurveyMonkey (250,000+ organisations, 40 million users). Enterprise experience-management pricing puts advanced capabilities out of reach for mid-market teams, while accessible tools lack the statistical depth that quantitative research demands. The primary buyers are product managers, market research teams, HR/people operations, and customer experience programmes seeking a single platform that spans design, recruitment, analysis, and reporting without per-seat pricing barriers.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.

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