Marvin Pros and Cons

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 not 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 everyday, 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.

It is an incredible tool that dramatically shortens the time from hosting, recording, and transcribing interviews to insights, synthesis, reporting, and moving to actionable next steps. Researchers can tie insights and ideas for improvements directly to the video and audio quotes for evidence for prioritizing those improvements. Additionally, it's so easy to ask the AI pin-piont questions and get near-immediate answers. Finally, the AI can help with themes and trends within a group of interviews. It's so easy to invite Marvin to meetings and start gathering insights, it just integrates with Teams, Zoom, Google Meet, or whatever meeting tool being used. Their customer support is top notch as well. Review collected by and hosted on G2.com.

I wish there was a tier for small agencies that have fewer research engagements. The cost us high for my use case. I work at a product design company that's less than 10 people, and we have 1-2 research projects per quarter. Currently we're on the free plan, but are capped at 5 interviews per month. But our use case is 8-15 interviews per project, 2-4 times per year. Review collected by and hosted on G2.com.

Marvin is easy to use and integrates with different tools like Google Drive, Zoom, and custom integrations. You can easily set up your research and participant panels. It can even detect different languages and transcribe it accordingly.

The AI is very good at synthesizing insights from raw data. Unlike tools like ChatGPT or Gemini, it is custom-made for user research. It greatly accelerates the execution of research and reduces the time needed to analyze the results. Review collected by and hosted on G2.com.

It is very expensive for larger teams.

The AI summary for transcripts can be a bit broad so you need to use the auto-analysis for deeper insights. Review collected by and hosted on G2.com.

- Research participants database management

- Project & cross-projects analysis, insight, andp laylists!

- Ease to analyse notes

- Upload videos: buffer to load/view them (work great when source = google drive)

- Reactive commercial team :)

- AI to summarize a content highlighted in a transcript

- Integration with Slack

- Public insight discovery portal Review collected by and hosted on G2.com.

- Not possible to add a single / short feedback from a user without creating a document :(

- Might be interesting to have an integration with Zapier/Make to support more 3rd parties? Review collected by and hosted on G2.com.

I've been using Marvin for about a year to support our qualitative research and have been really impressed with the platform. Here's where Marvin excels: (1) simple, user-centered interface; (2) intelligent baked-in synthesis tools; (3) a responsive management team. (1) First, Marvin is a simple and easy-to-use app. The toolbar is unclutted. The file structure makes sense. It is intuitive to tag and classify your research and synthesize it on-the-fly. (2) Speaking of synthesis, Marvin streamlines the process of sorting through all different types of unstructured data, including audio recordings, research notes, and even sketches. (3) Third, beyond the actual application, Marvin's proactive management team (from the CEO all the way down to the frontline support team) propel Marvin to a trusted part of my research toolkit. From day one, the platform has been easy to standup and integrate into our enterprise systems. Other larger software platforms could learn from Marvin's commitment to quality, transparency, and proactivity. Review collected by and hosted on G2.com.

In general, I'm impressed with Marvin's iterative, constantly improving design. One area still ripe for improvement is the AI search bar, which restricts your input to only a handful of words before getting cut off by the available space in the form filler. The AI search still works effectively, but requires a bit of manipulation to refer back to the entire search string. Review collected by and hosted on G2.com.

Marvin helps automate many of the tedious parts of qualitative research that prevent teams from using their brainpower on meaningful analysis. I particularly like the ability to invite the transcription bot to meetings (including scheduling it ahead of time), built-in discussion guides, and the auto-notes feature. There is minimum clean-up required on the transcript and jumping into tagging and analysis is easy. Getting Marvin set up was easy and I appreciated the customized onboarding that their customer success team provided. Review collected by and hosted on G2.com.

Marvin is a bit more expensive than other repository platforms, but it also is feature-rich. Also, the auto-notes can sometimes come out a little wonky and require some QA to either delete irrelevant ones or revise incomplete notes. I do wish they had the option of numbering discussion guides in some way for easier reference, so I hope this is a future feature. Review collected by and hosted on G2.com.

I typically use Marvin when I want to analyze my harder/longer interviews. It does a great job with transcription, summary, most used words, etc in a way that is much easier than going to ChatGPT each time. I really love the notes feature when watching back interviews and timestamping moments to share with the team. Easy to use and worth trying out as a UX designer or researcher. Google integration is a plus. Review collected by and hosted on G2.com.

The 5 files a month are limiting for the free plan. Hoping to upgrade at some point to unlock full use as we typically do ~30 interviews amonth. Review collected by and hosted on G2.com.

Simple to use with a bunch of Integrations to all of the main data collection application. Their tagging feature's are useful but their GenAI feature set is what really stands out! Lots of prebuilt features and ability to create your own prompts. They also passed Microsoft's security and privacy requirements so they will probably pass yours! Review collected by and hosted on G2.com.

No complaints specific to them. Transcripts can always be better, integrations less buggy, etc. But that's with any software of it's kind. Review collected by and hosted on G2.com.

The AI insights and ability to shorten to TTD for all research projects. Review collected by and hosted on G2.com.

Bulk file management, for example, renaiming a big list of interviews by certain conventions. Review collected by and hosted on G2.com.

I met Marvin during a research event and fell in love at first sight. The interface is inviting and easy to learn. The AI and tagging features that help save time in analysis, as well as being very easy to organize all the research findings. Review collected by and hosted on G2.com.

The price - unfortunately for a Brazilian team, it's very difficult to scale the tool to all possible users. Review collected by and hosted on G2.com.