HeyMarvin Reviews & Product Details

I appreciate Marvin's ability to record user interviews and team meetings in a secure manner, integrating seamlessly with MS Teams, which is essential for compliance with my company's requirements. The automatic generation of accurate transcripts within minutes is a significant time-saver, as it eliminates the hassle and expense often associated with transcription services. The synchronization of transcripts with their respective audio and video recordings, along with the ability to search and share them easily, enhances collaborative efficiency tremendously. The integrated analysis tools, including robust AI shortcuts, allow me to perform detailed analysis on both individual interviews and larger projects. The convenience of using the 'Analyze by Question' feature to obtain specific insights is unparalleled in enhancing the precision of my research. Additionally, the platform's research repository function is indispensable, allowing quick addition and publication of insights for stakeholder review. Having these functionalities combined in one place significantly streamlines my workflow and makes using Marvin a compelling choice. Review collected by and hosted on G2.com.

I find the customization options for graphs and charts for quantitative data lacking, as I need to export them in various formats directly into reports or slide decks. Additionally, the analysis of quantitative survey data is not as robust as I would like, particularly when uploading data from Qualtrics or a spreadsheet. I also found it initially intimidating to understand the setup due to the many options available on the interface, especially the multiple 'ASK AI' search bars which were confusing at first. Every once in a while when uploading a file it will get stuck causing me to have to contact the help desk. Review collected by and hosted on G2.com.

Marvin is built by researchers, and you can really tell. It’s designed with researchers’ needs in mind, from the tool’s information architecture to its different functionalities.

There’s a great variety of integrations. I heavily use the Google ecosystem integrations (Calendar, Drive, Docs, and CSVs), and they’ve significantly improved my working speed. I especially love the calendar integration because ResearchOps is a huge part of my work as a researcher, and managing all the different sessions and schedules I have is essential.

So far, Marvin’s overall performance has been stable and consistent. Syncing interview sessions, auto-tagging, and notes generally work quickly and without mistakes. It’s also quick to add additional notes or labels.

When it comes to AI and automations, the analysis features work really well, and the team keeps adding improvements. Report creation is getting better and better, and the latest assistant update has been a game changer. Creating workflow maps is very convenient, and producing better, more engaging reports for my stakeholders has accelerated my delivery times. As a result, the overall ROI of my small research team has improved a lot. We’ve even adopted a new internal policy where we share short insights from every session we facilitate as we go, and we wouldn’t be nearly as quick or efficient without access to this technology. Survey analysis and cross-project analysis have also been awesome for tracking higher-level trends and insights.

The Marvin team was really kind during onboarding, and all the guidance and sessions they held helped us get up to speed with the tool. Marvin is easy to adopt, which also helps me advocate for it within my organisation. More and more of my stakeholders now use it too - to record sessions, read reports, and explore different types of insights. We’ve been using it for around 8 months, and I can safely say we've managed to meet our expectations in terms of ROI. The different pricing plans can suit different needs and for a small team to have this tool has had a great impact on our productivity and how well we are able to establish ourselves in the organisation. Review collected by and hosted on G2.com.

Marvin is a more advanced tool compared to other similar repositories and analysis tools which naturally makes it a bit harder to get used to it at the start - as said previously onboarding is easy - it's not that it's hard but it definitely takes time to explore and test all different functionalities. The team regularly launches improvements and help materials though which helps. The automated quoting feature within the reports sometimes breaks however they've just implemented a new approach to citations and I'll be looking into it as it seems much better than what it was before. Review collected by and hosted on G2.com.

HeyMarvin is an excellent resource to keep all the research organised, tagged and usable across a number of studies. I have used HeyMarvin twice in two different companies with different levels of UX maturity and it's always helped accelerate UX integration into product because it allows me to deliver valuable insights at speed, plan and execute generative research with minimal overhead and identify knowledge gaps fast and reliably. Their support team is excellent, the range of features is brilliant and they always keep increasing its functionality. The AI-assisted functions are also incredibly helpful, specially for a solo researcher or a small team needing to deliver to a whole product department. Review collected by and hosted on G2.com.

There's not a lot I dislike about it in all fairness. Pricing sometimes is a difficult point to get past finance when procuring it, specially in companies that haven't had UX repos before. The AI tools are useful but not always right and is difficult to go in depth to refine the outputs on them (except for the main chat) as they are limited to 1 prompt, but the main chat does make up for it somewhat. Review collected by and hosted on G2.com.

Marvin is not only a great place to access research and insights from various teams or past studies, but can actually answer pretty complex questions you may have about your user base using AI which mines what it already knows about users from these previous studies. Review collected by and hosted on G2.com.

Honestly, nothing yet. So far I've been able to access what I need and bounce questions about new features we're working on. Review collected by and hosted on G2.com.

It’s perfectly tailored for research professionals, making it easy to manage multiple projects at the same time. Linking specific quotes and video clips directly to our core insights feels seamless, and it also works as a strong repository for catching up on findings and insights from other teams. Review collected by and hosted on G2.com.

The platform falls short in robust quantitative analysis, which makes it hard to combine quantitative and qualitative data in a truly effective way. In addition, the AI query feature sometimes misinterprets prompts or brings up irrelevant details, so it still requires manual review and oversight. Review collected by and hosted on G2.com.

The conversational AI engine has become a huge time-saver, helping me spot patterns I used to miss when I was skimming through pages of notes. The tagging system is equally intuitive, and it makes it very easy to organize qualitative data as I go. Review collected by and hosted on G2.com.

The interface can feel a little cluttered at times, which can make navigation frustrating when I’m trying to find specific functions. I also wish there were more granular controls for the AI assistant—for example, the ability to adjust the output tone or choose how deep it searches through files. Review collected by and hosted on G2.com.

The AI notes are the best I’ve used so far. They really save time and help boost my productivity. Review collected by and hosted on G2.com.

I didn’t like the discussion guide that was created, because it felt very generic and not particularly tailored. Review collected by and hosted on G2.com.

Well there is a bunch of things hahaha, first, the AI capabilities are amazing, at the begging they weren't doing their best but nowadays marvin has invested in enhancing the way we can ask marvin questions, with natural language and it's amazing that we can discover unseen things, I often had to go and read all of my notes and check lists but now I have this awesome partner that helps me to do nnot anything when doing researches, another fact that I can't help falling in love with marvin is how tagging and labeling is becoming so easy, using each feature to improve the performance of my daily work Review collected by and hosted on G2.com.

I think that one of the things that can be improve is the UI, sometimes I feel like I don't know exactly whrer to go to get something moreover I know that they are improving the app eveeryday, and, probably another thing is having more options or settings to use when asking to the AI side of marvin, I mean like the tone of the answers and how deep to search into each one or all of the researches Review collected by and hosted on G2.com.

What I like most about Marvin is that you can get a lot of cool insights from a very simple data analysis. The data analysis takes just a few minutes. If you've set up the discussion guide and have annotated the interviews or the focus groups or whatever you've done or recorded with Marvin, it's just very nice to be able to ask AI things and to come up with answers in just, like, a few minutes. One thing that I really like about the Ask AI tool is that you can use it to actually compare different interviews. So you can go into an interview and ask AI a question like what did the focus group participants or the interviewee think of this concept? And you can go into another interview, ask the same question, and compare the different answers. So that kind of helps you with comparing interviews. Even though you can also ask AI to summarize the insights from different interviews all at once, asking AI the question, the same question in different interviews gives you a lot of insight. Review collected by and hosted on G2.com.

I think that sometimes the AI kind of trips and invents things that aren't there. If you ask a question that doesn't really have data, it's still going to give you an answer, and it's going to invent it. It's an issue with all generative AI experiences. The learning curve to understand the features and use them to solve our specific problems was more challenging. Even after reading the how-to guide and FAQs, I still struggle to figure out the best way to use the tool. It would be great to have more guidance from the Marvin team. Also, it's quite expensive compared to the competitors. Review collected by and hosted on G2.com.

Marvin is purpose-built for UXR, and it doesn't attempt to be an all-in-one solution. Because of this focus, it handles the specific tasks required in user research exceptionally well. The features are robust, yet the platform remains intuitive and straightforward to navigate. As the UXR lead, I genuinely enjoy using the tool, but what I appreciate most is how easily our non-UXR team members can jump in and use it regularly. The onboarding process was simple, which is crucial for our goal of democratizing research and empowering squads to involve users in our workflow. Teams are now sharing user insights during meetings, standups, and product strategy sessions through the HeyMarvin platform—this, to me as a UXR professional, is a true mark of success. Review collected by and hosted on G2.com.

I wish I could do deep research in the cross-project analysis. At times the deep research does take quite a long time to produce a result. I REALLY WANT to see how many times each published insight has been viewed. Review collected by and hosted on G2.com.