# How to Vibe Code Your Own SurveyMonkey (and Stop Paying for It) > The world's most popular survey platform - Site: https://surveymonkey.com - Category: SaaS / Forms & Surveys - Verdict: **Solid side project** (68/100 vibecodeable) - Estimated effort: 2-3 weeks part-time ## Verdict Build a focused personal survey and form builder with AI generation, skipping the enterprise compliance moat and massive audience panels. Replicating SurveyMonkey's global enterprise footprint, SOC2/HIPAA compliance, and 200+ native connectors is impossible for a solo developer. However, building a clean personal-use survey tool featuring a drag-and-drop builder, skip logic, response collection via links, and AI text summarization is a very realistic project. The main engineering hurdles are writing a bulletproof recursive skip-logic evaluator and structuring clean relational schemas for responses. ### What you can't replicate - SurveyMonkey Audience global panel of 335M+ respondents - Native bidirectional enterprise integrations with Salesforce and Power BI - Certified HIPAA and SOC 2 compliance infrastructure ## What it does Cloud-based software-as-a-service platform designed for creating, distributing, and analyzing online surveys, forms, and quizzes with built-in AI tools. ### Core features - Visual drag-and-drop survey builder with multiple question types (MCQ, matrix, text, rating) - AI-powered survey generation from natural language prompts - Advanced skip logic, branching, and dynamic redirects - Response collection via unique links, email invites, and embeddable widgets - Real-time analytics dashboard with charts, data filtering, and export tools - Open-text thematic analysis and AI summaries ## The business ### Pricing - Basic: Free — Unlimited surveys, up to 10 questions per survey, and up to 25 viewable responses. - Standard Monthly: SGD 59/mo — Unlimited surveys and questions with up to 1,000 responses per month. - Team Advantage: SGD 49/user/mo — For growing teams needing shared assets and real-time collaboration. ### Funding $1.1B+ raised. - Private Equity Recapitalization - Venture Debt - IPO (Nasdaq: SVMK) - Private Acquisition by STG Investors: Spectrum Equity, Bain Capital Ventures, Symphony Technology Group (STG) Founded 1999. Team size: 1,000 - 1,400+. ## The hard parts - Recursive skip-logic evaluation engine that handles circular references and complex conditional branching without client lag - High-throughput concurrent submission endpoints capable of handling flash traffic spikes during active surveys - LLM orchestration pipeline for automated thematic clustering and instant open-text summarization at scale - Robust data-isolation and multi-tenant export structures protecting respondent PII securely ## How to vibe code SurveyMonkey ### Prerequisites - Node.js (free): Required runtime environment for Next.js and TypeScript packages. - GitHub (free): Code repository hosting and CI/CD connection to deployment targets. ### Recommended AI tools - Claude Code: Best-in-class multi-file agentic coding tool for scaffolding full-stack features, handling database schemas, and writing complex logic loops. - Cursor: Ideal for fine-tuning React components, survey editor drag-and-drop interactions, and chart rendering views. ### Stack - Frontend: Next.js with Tailwind CSS and shadcn/ui - Backend: Next.js Server Actions and API Routes - Database: Neon Serverless Postgres - Auth: better-auth - Payments: none - Other: Vercel AI SDK, Anthropic API (Claude 3.5 Sonnet), Resend ### Hosting - Vercel (Hosting the Next.js frontend, server actions, and edge routes with zero-config preview deployments.): $0-20/mo - Neon (Serverless Postgres database storing surveys, questions, logic rules, and respondent answers.): $0/mo (Free tier) ### Build guide 1. **Project Scaffolding & Database Schema** — Initialize the Next.js project with TypeScript, Tailwind CSS, shadcn/ui, and connect Neon Serverless Postgres using Drizzle ORM. ``` Scaffold a new Next.js 16 project with Tailwind CSS, TypeScript, and configure Drizzle ORM to connect to a Neon PostgreSQL database. Set up the foundational database schema tables: users, surveys (id, title, description, user_id, status, created_at), questions (id, survey_id, type, title, options jsonb, order), logic_rules (id, question_id, condition jsonb, target_question_id), responses (id, survey_id, respondent_meta, completed_at, created_at), and answers (id, response_id, question_id, value jsonb). Ensure proper foreign key constraints, indexes on survey_id and response_id, and provide a database migration script. Verify everything compiles successfully with strict type checking. ``` 2. **Authentication & Dashboard** — Implement authentication using better-auth and create the user dashboard for viewing, creating, and managing surveys. ``` Configure better-auth in the Next.js application for email/password authentication backed by our Neon PostgreSQL database. Create a protected dashboard layout (`/dashboard`) that lists the authenticated user's surveys with status indicators (draft/live), response counts, and action buttons to edit, view results, or share. Build server actions for creating new empty surveys or deleting existing ones. Implement a clean, responsive UI using Tailwind CSS and shadcn/ui card components. Include proper error handling and form validation. ``` 3. **Visual Survey Builder & Skip Logic** — Build the core survey editor allowing users to add/reorder questions (multiple choice, rating, text) and define conditional branch routing rules. ``` Build a robust survey editor interface at `/surveys/[id]/edit`. Allow users to add, delete, reorder, and edit questions of various types: multiple choice, checkboxes, dropdown, rating scale, and single/open text. Create a sidebar panel for each question where users can configure conditional skip logic (e.g., if Question 1 equals 'Option A', jump to Question 4). Save survey state atomically via Next.js Server Actions with debounced auto-saving. Handle optimistic UI updates smoothly and validate question structures before publishing. ``` 4. **AI Survey Generator Integration** — Integrate the Anthropic API via the Vercel AI SDK to generate complete survey drafts and answer choices from natural language prompts. ``` Implement an AI survey generator modal using the Vercel AI SDK and Anthropic API (`claude-3-5-sonnet`). When a user types a prompt describing their research goal (e.g., 'Create a customer satisfaction survey for a coffee shop'), send a structured request that returns a JSON object containing survey title, description, and an array of generated questions with appropriate types and options. Provide a button in the survey editor to populate the builder directly with the generated structure. Handle API token limits, stream responses gracefully, and sanitize the resulting JSON before inserting into the database. ``` 5. **Respondent Experience & Logic Engine** — Create the public respondent-facing survey view with dynamic conditional branching and answer submission handling. ``` Build the public survey response page at `/s/[surveyId]`. Fetch published survey questions and evaluate skip logic in real time as the respondent progresses through the survey. Implement single-question-per-page or full-scroll views based on survey settings. Validate required fields, capture anonymous respondent metadata (user agent, timestamp), and securely store submitted answers in the responses and answers tables via a server action. Show a clean custom thank-you screen upon successful submission and handle edge cases where surveys are closed or deleted. ``` 6. **Results Dashboard & AI Analysis** — Develop the survey results analytics view with response metrics, visual charts, and AI-powered open-text thematic summarization. ``` Build the survey results analysis dashboard at `/surveys/[id]/results`. Display summary metrics including total responses, completion rate, and average time. Render interactive charts (bar charts, pie charts) for closed-ended questions using a lightweight chart library. For open-ended text questions, add an 'AI Summary' feature that calls Claude to cluster responses into key themes, sentiment breakdowns, and actionable takeaways. Include a table view of individual responses with CSV export functionality. ``` ### Cost vs paying **Starting costs (one-time):** - Custom domain (optional): $12/year - Total: ~$12 one-time **Ongoing costs (monthly):** - Vercel Hobby Hosting: $0/mo - Neon Serverless Postgres: $0/mo - Anthropic API (AI Generation & Summaries): ~$3-5/mo - Total: ~$5/mo - Paying for the SaaS instead: SGD 59/mo ($44/mo) - Build time: 35-45 hours - AI tool credits: $20/mo (Claude Pro / Cursor Pro) - Break-even: 1 month ## Sources - [SurveyMonkey Official Website & Pricing Documentation](https://www.surveymonkey.com) - [Wikipedia: SurveyMonkey Overview](https://en.wikipedia.org/wiki/SurveyMonkey) - [PitchBook Company Profile for SurveyMonkey](https://pitchbook.com)