AI research creator

Product Introduction

1. Ballpark AI Research Creator is an AI-powered platform that automatically generates complete research studies based on user-defined goals, eliminating the need to start from a blank page. It supports surveys, moderated/unmoderated tests, video/audio studies, and prototype testing within a unified interface. The AI assistant converts research objectives into structured questions, tasks, and methodologies tailored to specific use cases.
2. The core value lies in democratizing research by enabling teams to launch studies faster, reduce setup time, and focus on actionable insights rather than manual design. It bridges the gap between novice and expert researchers through goal-driven automation while maintaining flexibility for customization.

Main Features

1. The AI assistant generates study drafts in seconds by analyzing research goals, such as “How do small business owners feel about our new invoicing automation feature?” and produces relevant questions, screeners, and task-based activities. Users can input pre-written questions or goals to refine outputs.
2. A conversational interface allows real-time editing of studies, including adding images, Figma prototypes, or website embeds, with natural language commands like “Add a multiple-choice question about invoicing frequency.” The AI iterates on feedback until the study is finalized.
3. Instant AI-generated reports analyze responses across formats (multiple-choice, verbal feedback, video) to highlight key trends, pain points, and recommendations aligned with the original research goal. Reports integrate data from over 3 million global participants when studies are launched via Ballpark’s recruitment network.

Problems Solved

1. The product eliminates the “blank page problem” by automating the creation of research frameworks, reducing setup time from hours to minutes. It standardizes question quality to avoid bias or gaps in study design.
2. It serves customer-obsessed enterprises, product teams, and researchers needing rapid validation of features, designs, or concepts before launch. Target users include product managers, UX designers, and marketing teams without dedicated research support.
3. Typical scenarios include testing checkout flow usability, evaluating brand perception through video feedback, or benchmarking feature adoption across demographics. It replaces fragmented tools with a single platform for end-to-end study creation, launch, and analysis.

Unique Advantages

1. Unlike alternatives like UserTesting or Maze, Ballpark combines AI-generated study design, a unified workspace for multiple methodologies (surveys, prototypes, live interviews), and integrated recruitment in one platform. No third-party tools are required for cross-functional studies.
2. The AI question generator uses goal-based prompts rather than templates, ensuring contextual relevance. For example, inputting “Test Figma prototype usability” triggers task-based questions and heatmap tracking instead of generic surveys.
3. Competitive advantages include instant reporting with verbatim analysis, a pool of 3 million vetted participants, and GDPR-compliant data handling. The platform supports advanced use cases like card sorting or first-click tests without requiring coding or manual setup.

Frequently Asked Questions (FAQ)

1. What types of research studies can I create with Ballpark? The platform supports surveys, unmoderated usability tests, live video interviews, Figma prototype testing, image preference tests, and five-second tests. AI optimizes the format based on your goal.
2. Does Ballpark integrate with design tools like Figma? Yes, users can embed Figma prototypes directly into studies for task-based testing. The AI generates clickstream heatmaps and verbal feedback prompts specific to the prototype.
3. How does participant recruitment work? Studies can be launched to Ballpark’s 3 million global participants filtered by demographics, or shared via private links for internal testing. Recruitment costs are calculated upfront based on target criteria.
4. Is data from AI-generated reports GDPR compliant? All participant data is anonymized and stored in SOC 2-certified servers. Users retain full ownership of raw data exports and AI analysis outputs.
5. Can I customize AI-generated questions? Yes, the conversational editor allows unlimited revisions via natural language commands, such as “Add a rating scale question about checkout speed” or “Remove the demographic section.”