We are using Marvin to record our user interviews and to analyze our data. We use the AI tools to start and then create our own analyses from there. It has helped us tremendously to do our work, and we are starting to see the benefits of cross-project analysis as we work with various stakeholders across our organization. We can quickly amass information from past research to help build and develop new projects and make good decisions. Review collected by and hosted on G2.com.

There are a few usability issues that crop up now and then. For example, the way the project groups are listed makes it hard to see the distinction between groups and projects (they need to use indentation). The AI analyses are a good start, but there are usually redundancies in the resulting analyses that have to be sorted through. It took a little bit for me to understand the differences between things like tags vs. labels. Lastly, the research panel feature feels underdeveloped, so we are not able to make use of that at this time--we are hoping that will get better as time goes on.

But whenever I've mentioned things that cause me issues, the Marvin staff are receptive to making improvements. Given it's a relatively new company, I am hopeful that these improvements will continue to expand the usability and usefulness of the tool. Review collected by and hosted on G2.com.

1. Citations - being able to ask questions and getting citations directly to the source file is a game changer Review collected by and hosted on G2.com.

1. Not being added automatically to external meetings Review collected by and hosted on G2.com.

I like the fact that it truly acts as a research assistant, the accuracy of the synthesis, tagging and answering the interview questions is really impressive. Increases speed and efficiency of research significantly. Review collected by and hosted on G2.com.

The automatic taggings are good enough but maybe they are accurate almost 80% of the time, which means there is still a need for a researcher to review, accept or reject and add more highlights in the interview scripts. Review collected by and hosted on G2.com.

It's very easy to add Marvin to calls, especially with the Zoom integrations. The best feature about Marvin is being able to AI generate insights both from individual calls and across a library of calls. The citation footnotes make it easy to track which calls each insight is from. Review collected by and hosted on G2.com.

Sometimes AI-generated insights can be too long. For example, I've had instances of Marvin generating upwards of 30 action items for a one-hour meeting. However, in some instances, this comprehensiveness can be helpful. Review collected by and hosted on G2.com.

The AI features are the real game-changer for me. We had another repository previously and those features were limited. I didn't realize how much I needed them until I did a trial with Marvin and saw how much time the features saved me. The ability to upload my discussion questions and have Marvin take auto-notes against them is amazing. I also really like that my teammates can run queries on the data if they have follow-up questions. Review collected by and hosted on G2.com.

Nothing so far. It took me a bit to learn all of the ins and outs, but that's standard for any new tool. Review collected by and hosted on G2.com.

The searchable repository. I hate qual data analysis: nothing more painful than listening to hours of interviews and entering tallies for themes. Easy to create clips. Marvin is constantly listening to their users and adding new features/improving their platform so my "dislikes" may very well be fixed by the time you read this! Review collected by and hosted on G2.com.

I think Marvin has great potential but it isn't exactly easy to use and it really struggles with focus group/panel interviews. Some issues I've experienced: if I run a 15-20 thematic analysis based some some general topics, I have like 15-20 tabs open and it's hard to tell which thematic analysis is what. Drilling into specific notes from the thematic analysis means I'm often getting lost in the thousands of tabs and menus/submenus. Also, the thematic analysis are so high level they're not very valuable other than giving me a jump start on coding the data myself. E.g., I run a thematic analysis on Product A feedback. It will give me 7-15 themes...one of which might be "aesthetic" preferences", which it describes as "participants liked the color and control panel aesthetics". That is almost useless to my team. What colors did they like? Why? I have to then dig into the notes and listen to the videos to then code those responses myself in an excel file. The holy grail would be more in depth, quantified thematic analysis. If I could, for example, have it conduct an additional thematic analysis of 1 theme (e.g., aesthetic preferences") and quantify each theme, it would be irreplaceable to me. More tools for helping me do thematic analysis myself would be good as well. There is a lot I still don't understand about the platform and I generally feel that I'm not using it to it's full potential.

I'd recommend marvin look into how to better capture multiple interviewees in the same space - perhaps create some SOP documents to help users learn the software and build training into enterprise platform. Review collected by and hosted on G2.com.

For my specific use case, Marvin is the ideal tool. I work for a company that develops niche software, which means we have a relatively small pool of customers available for interviews, tests and surveys.

It's crucial for us to centralize and effectively analyze all user feedback—from interviews, meetings, sales discussions, and CSM notes. Marvin excels at this, really outperforming every other tool we've tried.

The AI assistance is amazing, remarkably accurate and well-structured, ensuring no feedback gets lost among the various storage applications we used before.

AI is available in various places. What I particularly like is that I can take a lengthy explanation from a client, and AI condenses it into a short sentence, making it easier to navigate through the jungle of feedback.

Securing a consistent budget wasn't easy. Like in many companies, user research is the “forgotten child” that only gets attention when it pulls off something magical. But Marvin worked its charm—even my colleagues are curious now and use it to ask their own questions, and Marvin’s AI always comes back with answers that are smart, clear, and on point. Review collected by and hosted on G2.com.

Even the best tools have room for improvement:

- Limited integrations: Key tools like Productboard, Microsoft Forms, and Trello aren't yet supported

- Support page:Though the support team is responsive, the documentation needs better organization and more comprehensive coverage of features (That said, the tool is highly user-friendly and intuitive, so you don't need it as much)

- Siloed project structure: Would like have more cross-project analysis tools, such as canvas or Kanban boards, plus the ability to share notes between projects. But I think, the team is working on this. Review collected by and hosted on G2.com.

Honestly, Marvin has completely changed the way I do research. The transcription feature is a lifesaver—it’s fast, accurate, and even works with different languages, which is pretty impressive. I also love the AI search. I can just type in what I’m looking for, and boom—it pulls up the exact quotes or themes I need from my interviews. It’s so much faster than manually searching through transcripts.

The tagging and labeling tools are super intuitive and help me stay organized, even when I’m juggling multiple projects. And let me just say, being able to tie insights directly to video or audio clips is a game-changer—it makes building reports so much easier. Plus, it’s great that Marvin works with tools like Google Drive and Zoom, which makes integrating it into my workflow seamless. Review collected by and hosted on G2.com.

Okay, so Marvin isn’t perfect (what software is?). The transcription is usually spot on, but every now and then, I have to fix a few errors. I’ve also run into a few moments where the interface felt a bit clunky—it’s not always obvious where to find certain features. Oh, and I wish there were more integrations with tools like Slack or better functionality with Gong. For small teams like mine, the free plan is a bit limiting—we often need more interviews than it allows, but upgrading feels a bit pricey for how often we’d use it. Still, they seem to be working on improving these things, which is promising. Review collected by and hosted on G2.com.

I've used a few AI transcription tools in the past, and Marvin is far and beyond the best at capturing transcripts with accuracy - not to mention in languages beyond English. The notes function provides easy qualitative analysis of our team's interviews. The "Ask AI" function is also helpful in searching for specific quotes or evidence of themes across interviews. Marvin simplifies and expedites our qualitative analysis process, allowing us to generate compelling reports for our clients. Review collected by and hosted on G2.com.

There are some features that the product team has not yet finalized - e.g. allowing transcripts to be saved in a new language once they have been translated. That said, their team is very responsive and helpful in finding alternative solutions. Review collected by and hosted on G2.com.

One of the features I love most is how easy it is to find insights using Marvin’s AI-powered search. It’s not just researchers who can benefit—anyone in the company can jump in and quickly get the information they need. Whether I’m looking at findings from years ago or comparing insights across different projects, it’s fast, accurate, and saves so much time. It’s made research feel accessible to everyone, which is a huge win for collaboration.

The observation rooms are another fantastic addition. They’ve made it so much easier to get people from different teams involved in the research process. Stakeholders are more engaged, and it’s exciting to see decisions being directly influenced by real user feedback. It feels like research is finally part of the conversation instead of being something that just sits in a folder somewhere.

I also have to give a shoutout to the Marvin support team. They’ve been amazing—super responsive, helpful, and always willing to listen to feedback. That kind of support makes such a difference, especially when you’re rolling out a new tool across a whole organization. Review collected by and hosted on G2.com.

The one area where I think Marvin could improve is integrations. I wish there were more options, such as integrations with Rally UXR, Slack, and better functionality with Gong (currently, it only works for people with Gong admin access). That said, they seem receptive to feedback and appear to be working on adding new integrations, which is promising. Review collected by and hosted on G2.com.