Is this the *easiest* way to understand your users? (It might be!) Marvin's Discover Research is like a research repository within your research repository that lets non-research stakeholders: - Search for answers to common questions - Get key data points and customer quotes in seconds - Uncover and share insights from a centralized location Finally, an easy way to share what you've learned with your whole team ????
Marvin
科技、信息和网络
Oakland，CA 5,132 位关注者
The first AI-powered research repository. Talk to your users. Then analyze hours of customer research in minutes.
关于我们
Hi, hello, and welcome. We're heyMarvin, a qualitative data analysis platform & research repository for user-centric teams across the globe. All your customer research in one spot. Centralized. Searchable. Shareable. Built to work with all your favorite tools, Marvin's advanced AI automates the tedious aspects of user research — like setting up the interviews, recording the calls, taking notes, transcribing conversation, coding transcripts, elevating common themes — so you’re free to uncover rich insights about what your customers really need. Every product enhancement and capability comes directly from listening to the people who use Marvin every day. We wake up every day to make something you (and your users) will fall in love with.
- 网站
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https://www.heymarvin.com
Marvin的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 51-200 人
- 总部
- Oakland，CA
- 类型
- 私人持股
- 创立
- 2021
- 领域
- Qualitative Research 、Analysis、User Interviews、Product Research、Customer Understanding、Centralized Repository、UX Design、Product Management、Modern Technology、Live Notes、Integrations with Products You Already Love、AI、UX Research、User Research、Product Marketing、Customer Research和AI in Research
产品
![点击此处查看Marvin]()
Marvin
用户调研软件
Marvin is a qualitative user research platform that helps teams like yours design better products and services. We’re the only research tool designed to make research easier for everyone, not just for trained researchers. In today’s world, everyone in a company talks to customers — so we make the conversations already happening much more efficient and collaborative. Unlike other research software, distributed teams can use our platform to conduct rigorous research, so it doesn’t matter if your colleagues or research participants are located across the globe. We streamline the user interview process to increase productivity and save you time at every step. And because Marvin was built by researchers, we approach our own product design theoretically. Every product enhancement comes directly from listening to the people who use Marvin every day. We automate the tedious aspects of qualitative research so you’re free to uncover rich insights about what your customers really need.
地点
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主要
获取路线
US，CA，Oakland，94619
Marvin员工
动态
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Check out Jeff Zych's AI tech stack ??
I’ve been a generalist my whole career. I’ve never liked putting myself in a box or titles or labels. I dabble in this and that and follow my curiosity and never let my “title” or “past experience” dictate what I can or can’t do. I have a mix of technical skills, design skills, product skills, business skills, research skills, and more. And I feel like all this foraging of cross-disciplinary skills is paying off in this age of generative AI. As someone who loves building products themselves I’m not fast enough or strong enough to do every role myself, but I’m knowledgeable enough in all these areas to guide AI to get what I need out of it. My AI friends include: ? ChatPRD as my product partner to help me think through product requirements ? Replit to build prototypes and ship code (I haven’t gotten into Cursor or Windsurf or v0 yet but want to try them) ? Research Mate, a prototype/codename of the AI research assistant I’m building (on Replit) (give it a spin if you want and tell me what you think: https://lnkd.in/gTC4cCBv ), is my expert user researcher that helps me write research plans and interview scripts ? Marvin to help me analyze qualitative data from research calls ??Figma is still my primary UI/UX design tool and is just starting to add generative AI tools, but TBH they haven’t helped me much yet and this skillset/workflow has been impacted the least by AI so far (for me personally. Maybe because I can still do this work faster and better than AI? For now?) So I’m excited to see where these tools go and how much more I’ll be able to get done on my own. There’s never been a better time to be a generalist.
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Marvin转发了
“Can AI handle qualitative research on autopilot?” For years, this is the question that Chirag Narula and I have been trying to answer. Why? Because if AI could do this, it would transform the way researchers work. Here’s why LLMs have struggled with qualitative research up to this point: LLMs like ChatGPT have a limit on how much information they can process at once. Their token windows max out at a few thousand words. Once you go beyond that, they start to hallucinate and generate unreliable insights. So while GenAI is really, really good at desk research, most tools can’t handle the enormous context of user interviews, surveys, etc. This required a different approach to AI for research – which led us to develop Marvin’s new Deep Research tool. Marvin’s Deep Research is unlike any other user research tool on the market because it was developed *specifically* for qualitative researchers. → Uses an agentic approach to overcome the limitations of LLM tokens → Lets users choose from 7 pre-configured prompts of the most common types of analyses? → Processes your own data to find key themes, relevant quotes, and other insights → Delivers a detailed, AI-generated report with supporting evidence and citations Here’s an example of a report generated by Marvin's Deep Research, so you can see how powerful it is: https://lnkd.in/g4qS7HjS
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A lot of us get stuck in endless research cycles that feel unproductive. An easy fix? Use a centralized research repository. A repository is your team's hub for finding timely and relevant insights using existing data. Spend less time on the research hamster wheel and more time enabling a user-centric culture.?
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You asked for quicker, deeper insights, and we listened! Introducing: Deep Research by Marvin ?? → Turn raw data into in-depth analysis in one click → Use preset prompts to get a headstart on all kinds of research → Spend more time deep-diving into themes and trends, not manually digging through data Will you try it out on your next research project?
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Ring the Gong! Sales teams talk to users every day. User insights build better products. What if product teams could access this wealth of real-time intel too? Marvin x Gong syncs sales call recordings to your repository to bring all that juicy customer knowledge in one centralized, searchable resource. ?? Get ongoing user feedback straight from the source ?? Run thematic analysis to discover new trends and uncover concerns ?? Unlock a new resource for understanding your target personas Enable the Gong integration directly from your Marvin account: Navigation bar > integrations > Gong > click "Connect" Endless user insights at your fingertips!
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