DodoForm

Product Introduction

1. Definition: DodoForm is an AI-native, schema-first form builder and data collection platform. It is a SaaS application that transforms unstructured human input—such as voice memos, photographs, and free-form text—into clean, structured, query-ready data.
2. Core Value Proposition: DodoForm exists to eliminate the friction and data loss inherent in traditional form building. Its primary value is converting messy, real-world communication into structured data, enabling businesses to capture information in seconds through AI-powered voice transcription, image OCR, and text extraction, while providing deep analytics and enterprise-grade security.

Main Features

1. Messy Input to Structured Data: DodoForm's public forms accept voice recordings, uploaded images, and rambling text. A constrained AI extractor, operating on a strict, user-defined schema, parses this input. It performs voice transcription, image OCR (Optical Character Recognition), and free-text entity extraction to map the messy content onto structured fields like contact, budget_usd, and close_date, presenting the result for confirmation before submission.
2. Conversational BI (Ask Your Data): Users can type questions in plain English (e.g., "What's the average deal size from Q3?"). The system compiles a constrained query plan, executes it via a read-only PostgreSQL role against the submission data, and returns an exact numerical answer alongside an auto-configured chart. Every query is logged in an audit trail.
3. Audit-Grade Security & Architecture: The platform is built on a security-first foundation. It enforces row-level security (RLS) on every database table by default. Public interaction is limited to SECURITY DEFINER RPCs (Remote Procedure Calls). All AI/LLM calls are logged, and the system offers a dedicated ai_reader_role for SQL queries and supports per-tenant data isolation. A self-hostable option is available for maximum control.
4. Drop-Off Heatmap & Field-Level Analytics: Beyond basic completion rates, DodoForm provides a visual heatmap showing exactly which form fields cause respondents to abandon the process. This reveals field-level conversion bottlenecks, allowing for precise optimization rather than guessing based on overall form performance.
5. Schema-First AI & Versioning: Every form is defined by a validated schema. When the AI suggests or generates fields, it iterates safely within this schema framework, preventing hallucinated or invalid field types. Each form save creates a new schema version, ensuring data integrity and auditability over time.

Problems Solved

1. Pain Point: Data entry friction and loss. Traditional forms force users into rigid fields, causing drop-offs. Valuable data shared via voice notes, photos, or long emails gets stuck in unstructured formats, requiring manual copy-paste and leading to errors.
2. Target Audience: Sales Operations Managers, Product Managers, UX Researchers, Marketing Agencies, Event Planners, HR Coordinators, and Legal Intake Professionals who need to gather structured data from clients, customers, or teams without imposing a burdensome input format.
3. Use Cases: Converting sales call voice memos into CRM-ready fields; extracting order details from photos of handwritten notes; running NPS surveys where voice replies are auto-categorized; creating client intake forms for agencies that accept messy project descriptions; building quizzes with AI-powered lead scoring on every submission.

Unique Advantages

1. Differentiation: Unlike other AI form builders that add "AI features" to a conventional platform, DodoForm is engineered from the ground up as a structured-data pipeline. It offers deeper technical capabilities like constrained SQL query engines, HMAC-signed webhooks, and schema versioning as standard, not as premium add-ons. It provides features like drop-off heatmaps and partial submission recovery that are rare in the market.
2. Key Innovation: The "Three Pillars" approach: 1) A constrained AI pipeline that strictly maps unstructured input to a defined schema, 2) A conversational BI interface that translates natural language to secure, read-only SQL, and 3) A default security posture using PostgreSQL RLS and audit logging for every action, including LLM calls.

Frequently Asked Questions (FAQ)

1. How does DodoForm handle data privacy and security? DodoForm enforces row-level security (RLS) on all data tables by default, uses read-only database roles for queries, signs all outbound webhooks with HMAC-SHA256, and logs every LLM call and data query. It offers per-tenant isolation and a self-hostable deployment option for full data sovereignty.
2. Can DodoForm integrate with my existing CRM like Salesforce or HubSpot? Yes, every DodoForm plan includes HMAC-signed webhooks that can fire to any endpoint, including Zapier, n8n, or directly to your CRM's API. The platform provides exponential-backoff retries and a full delivery audit log to ensure reliable data sync to HubSpot, Salesforce, or a custom backend.
3. What happens to data from forms that are started but not submitted? The Max plan and above include "Lost-lead recovery" or partial submission capture. With user consent, data entered into fields can be captured even if the user never clicks submit, allowing you to recover potentially valuable lead information.
4. How accurate is the AI at extracting data from voice and images? The AI uses constrained extraction against your form's schema, which improves accuracy by limiting possible outputs. It employs premium models for transcription and OCR. All extracted data is presented for user confirmation before final submission, ensuring a human-in-the-loop validation step.
5. Is there a free plan, and what are its limits? Yes, DodoForm offers a permanently free plan with real production access. It includes up to 3 forms, 100 AI generations per month, all basic field types, conditional logic, signed webhooks, native integrations (Zapier, Google Sheets, etc.), and CSV export. It displays "Powered by DodoForm" branding.