# Magic Insights > Magic Insights is an all-in-one user research platform for AI-native product and marketing teams. AI drafts studies, gathers feedback, and turns it into shareable insights, built for human researchers and coding agents alike. ## What is Magic Insights? Magic Insights is a B2B SaaS user research platform. Product, marketing, design, and research teams use it to go from research questions to evidence-backed insights and shareable reports, without juggling spreadsheets, transcripts, and separate synthesis tools. ## Who is it for? - Product managers prioritizing roadmaps with customer evidence - UX researchers scaling studies without manual synthesis - Product designers testing prototypes and capturing session clips - Marketing teams mining customer language from research and feedback - AI-native teams running research alongside coding agents ## Product pillars ### Studies Run qualitative research in structured studies. Tell the AI what you need to learn. It drafts your study and returns themes, highlight clips, and a shareable report without switching tools. - Surveys, prototype tests, website tests, concept tests, and AI-moderated interviews - AI-drafted questions, tasks, and screener criteria from a research goal - Themes, highlight reels, stats, and executive reports for every study type ### Workflows Automate feedback analysis on a schedule. Route support tickets, surveys, and reviews through reusable workflows. Classify themes, summarize threads, and alert your team when patterns shift. - Alert workflows when themes spike or sentiment drops - Scheduled digests to Slack or email - Cross-source theme tracking across tickets, calls, surveys, and reviews ### MCP (Magic MCP) Bring customer intelligence to your coding agents. Magic MCP connects your calls, tickets, and studies to agents like Cursor, Claude Code, and Codex. Ask questions in your workflow and get evidence-backed answers with quotes attached. - Query workspace, studies, themes, and feedback from your IDE - Search feedback by keyword, sentiment, platform, tag, or date range - Cited answers with quotes, clips, and linked records in every agent session ## Use cases Eleven ways product teams turn scattered customer feedback into decisions they can defend. ### Product research Learn what to build before you commit engineering time. Run structured studies across surveys, interviews, and feedback analysis. AI drafts questions from your research goal, gathers responses, and returns themes with quotes your team can cite in roadmap reviews. ### Support analysis See what tickets are really telling you. Route support conversations through automated workflows that classify themes, summarize threads, and alert your team when volume spikes. Stop reading tickets one by one to find patterns. ### Voice of customer Hear customers in their own words, on a schedule. Roll up calls, tickets, surveys, and reviews into voice-of-customer summaries. Workflows run weekly or on demand so your team always has fresh verbatims, not a quarterly slide deck scramble. ### Roadmap prioritization Prioritize with evidence, not loudest voice. Pull themes from studies and connected feedback into one view. Compare what customers ask for against what support and sales are hearing, so roadmap debates start with data. ### Quarterly reviews Walk into QBRs with research already done. Synthesize a quarter of customer feedback into executive-ready reports. Studies aggregate findings across methods so you spend review time on decisions, not rebuilding decks from scratch. ### User feedback analysis Analyze feedback at scale without a synthesis backlog. Connect surveys, NPS, in-app feedback, and reviews to workflows that tag themes automatically. Your team gets patterns and quotes without manually coding hundreds of responses. ### Customer interviews Run interviews without scheduling every session yourself. AI-moderated interviews ask follow-ups, probe deeper on answers, and adapt to each participant. Get transcripts, highlight reels, and themes across sessions, without a calendar full of 1:1s. ### Feature validation Test feature bets before they ship. Validate concepts and prototypes with task-based studies and concept tests. Measure preference, capture verbatims, and share findings that help the team iterate or kill ideas early. ### Usability testing Find friction before users churn. Test Figma prototypes or live URLs with task flows. Session clips attach to every friction point so designers see exactly where participants hesitate, fail, or abandon. ### Market research Understand the market with structured studies. Run surveys and concept tests to measure positioning, messaging, and competitive preference. Pair quant results with open-ended themes so you know both what wins and why. ### Coding agents Query customer feedback without leaving your IDE. Connect Magic MCP to Cursor, Claude Code, or Codex. Ask what's driving churn, search themes across tickets and calls, and get answers with quotes and linked records attached. ## Pricing | Plan | Price | Limits | Includes | |------|-------|--------|----------| | Free | $0/month | 500 data points/month | Core platform, AI analysis, best for early-stage teams | | Pro | $21/month | Unlimited data points | Full AI suite, agents, REST API access | Pro includes a 14-day free trial. Yearly billing saves 20% compared to monthly. Both billing options include the same features. Sign up: https://app.magicinsights.ai/sign-up ## Frequently Asked Questions ### What is Magic Insights? An all-in-one user research platform. AI drafts studies, gathers responses, and produces themes, clips, and reports your whole team can use. ### Who should use Magic Insights? Product managers, UX researchers, designers, and marketing teams who need faster, evidence-backed customer understanding. ### Is there a free plan? Yes. The Free plan includes 500 data points per month with no credit card required. ### What counts as a data point? A data point is any single piece of feedback you import, whether it's a row in a CSV, a Slack message, or a support ticket. 5,000 data points is roughly equivalent to 500 pages of text. ### What happens after my 14-day trial? You won't be charged until your trial ends. We'll email you a reminder 3 days before. If you don't cancel, your $21 monthly subscription will begin. ### What's the difference between monthly and yearly billing? Yearly billing saves you 20% compared to monthly. Both options include the same features and a 14-day free trial. You can switch between billing cycles anytime. ### Is my data secure? Yes. We use enterprise-grade encryption for all data at rest and in transit. We never train our public models on your private customer data. ### Can I cancel anytime? Yes. You can turn off auto-renewal at any time in your account settings. You'll keep access until the end of your current billing period. ### How do I get a demo? Book a 30-minute call with our product team: https://www.magicinsights.ai/book-a-demo ## Legal - Terms of Service: https://www.magicinsights.ai/terms - Privacy Policy: https://www.magicinsights.ai/privacy ## Links - Website: https://www.magicinsights.ai - About us: https://www.magicinsights.ai/about-us - Contact: https://www.magicinsights.ai/contact - Book a demo: https://www.magicinsights.ai/book-a-demo - Contact email: chandra@magicinsights.ai - Sign up: https://app.magicinsights.ai/sign-up - LinkedIn: https://www.linkedin.com/company/magicinsights/ *Last updated: 2026-07-13*