Marvin é a melhor ferramenta de pesquisa que você pode ter. Ele acelera seu trabalho, para que você possa se concentrar no que realmente importa, a análise e os insights. A funcionalidade de IA também é muito útil para resumir as entrevistas e contribuir com destaques sobre os principais tópicos da discussão.
We've been using Marvin for a few months now and it's really helped us think through how we analyse and store data to enable access for stakeholders. We were initially looking for a repository, but found that Marvin's analysis functions are incredibly useful for so many things.
The setting up of labels and tags for coding has helped us to think through what we're trying to learn before we start analysing, which has made the quality of our research that much better. This process has also helped us discuss our approaches to research as a team. Although it does take a bit more time in the earlier stages of analysis, it makes the write-up a lot quicker. It's really useful that you can edit the tags and labels on the go as well. The AI element has been a real time saver and although we rely mainly on human analysis, the AI is a useful validation tool.
From repository perspective, initial feedback from stakeholders is that it's been easy to locate research as we've uploaded historical data.
The support is first class and the team respond to queries incredibly quickly.
The transcriptions are high quality, the UI is simple and straightforward to use, and it's nice to be able to organize tags for grouping annotations into themes.
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What is Marvin?
Marvin offers a platform designed to streamline user research processes, enabling teams to collect, analyze, and share qualitative data to inform product development and user experience strategies.
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