Dovetail
DovetailReviews from AWS customer
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A seamless experience for organizing, analyzing, and sharing user research insights at scale
What do you like best about the product?
The most helpful aspect of Dovetail is how it simplifies organizing and analyzing qualitative research data in one place. Its tagging system and ability to link insights across projects make it incredibly easy to spot patterns and share findings with stakeholders. One big upside is the collaboration—it’s straightforward for teams to comment, tag, and build on each other’s work, which speeds up the research process and ensures nothing gets lost. For example I use it a lot for thematic analysis. It's much faster than with any other tool I know.
Dovetail is a tool that really keeps research focused on what matters: uncovering and communicating insights.
Dovetail is a tool that really keeps research focused on what matters: uncovering and communicating insights.
What do you dislike about the product?
The least helpful aspect of Dovetail is its limited support for quantitative data, making it less ideal for mixed-method research or projects that rely heavily on numerical analysis. Additionally, while the platform is excellent for small to medium teams, the cost can add up quickly for larger organizations or those needing advanced features across multiple teams. These downsides can be mitigated, but they’re worth considering when deciding if Dovetail is the right fit for your team.
What problems is the product solving and how is that benefiting you?
Dovetail solves the challenge of managing and making sense of large volumes of qualitative research data. It centralizes interview transcripts, notes, and other artifacts in one place, eliminating the chaos of scattered documents and emails. By offering tools to tag, group, and visualize themes, it streamlines the process of turning raw data into actionable insights.
it helps me to scale and industrialize user research in my organization.
it helps me to scale and industrialize user research in my organization.
The Best Research Tool for Product Design Teams
What do you like best about the product?
I remember a time before Dovetail. We typed up insights/verbatim comments on post-it notes in Miro. It was chaotic, disorganised and we missed important insights.
With Dovetail, my team can effectively review interviews and other data all in one place and move through the research process. It's clever features like searching for specific data, or it's simple UX like highlighting - all make up for an efficient and easy research experience.
Dovetail are constantly striving for improving the tool, and when I think it can't get much better than this, they come out with a small yet thoughtful quality-of-life improvement that I can't help but feel delight over. It's a tool I can't live without, and a tool I will continue to advocate the use for in my small team.
With Dovetail, my team can effectively review interviews and other data all in one place and move through the research process. It's clever features like searching for specific data, or it's simple UX like highlighting - all make up for an efficient and easy research experience.
Dovetail are constantly striving for improving the tool, and when I think it can't get much better than this, they come out with a small yet thoughtful quality-of-life improvement that I can't help but feel delight over. It's a tool I can't live without, and a tool I will continue to advocate the use for in my small team.
What do you dislike about the product?
Nothing. Even when I discover a bug, I report it and it gets rapidly fixed. No complaints
What problems is the product solving and how is that benefiting you?
Reviewing feedback in an effective way to gain insights. An all in one place for storing and archiving user feedback data. A powerful tool for uncovering user problems and needs
An essential tool for internal and external research
What do you like best about the product?
How easy it is to organize raw research input and get to the findings
What do you dislike about the product?
Nothing. It is a great tool. The feature set and the UI is exactly on point
What problems is the product solving and how is that benefiting you?
Understanding what the business needs are and eliminating bias when looking for solutions
Great product if you're willing to commit to the user research discipline
What do you like best about the product?
Dovetail is a great tool to centralize, analyze and leverage customer insights. It helps us be intentional with the information we're trying to collect from our customers and share insights to colleagues. I use it monthly basis and even though I didnt have any formal training on it, I can easily find my way around in most cases. They just released a bunch of new features, such as Channel, which I am really excited to experiment with and integrate with our various customer insights sources.
What do you dislike about the product?
The tagging system can become a bit complex to leverage in an optimal way. The folder/project/tag relation could be made simpler as we find ourselves often ending up with multiple tags that are very similar but act independent. This skews the weight of insights when running analysis.
What problems is the product solving and how is that benefiting you?
Identify patterns in customer's problems, unmet needs or aspirations
Store, analyze, and showcase your research data
What do you like best about the product?
Dovetail is an incredibly versatile research repository. It is the tool we use to store, analyze, and present our qualitative UX research data. It is very quick and easy to analyse multiple interviews and identify patterns. It can help a power use to cut through the data in different ways and create compelling reports whilst linking to the evidence.
What do you dislike about the product?
Dovetail can be overwhelming for less experienced users who join an organization that is already using it in specific ways. Also, depending on how well organized the information is, it can also be a challenge to find the right thing for a stakeholder who is not using it regularly.
What problems is the product solving and how is that benefiting you?
It allows us to store all research data in a single accessible space and ensures accountability. It also gives powerful tools to the researchers to analyze their data and find patterns. It also allows researchers to create reports with videos and quotes, linked to the original source and keeping the evidence chain unbroken. The new AI Magic features are also big time savers as they can summarize and highlight interesting points in interviews.
Great Tool to Analyze My Research Projects
What do you like best about the product?
It is flexible enough for various needs and different kinds of research projects.
What do you dislike about the product?
The transcription feature can be funky at times, which has promted me to re-upload recordings multiple times until it finally worked.
What problems is the product solving and how is that benefiting you?
It helps me to easily apply, manage, and anlyze tags in my data which directly leads to supporting better insights and easier reporting (as I can link back to these).
The leading UXR qualitative analysis tool
What do you like best about the product?
The best part about Dovetail is how seamlessly I can curate and share user insights with stakeholders. No video editing, no downloading and uploading of video clips. I just pop the most interesting moments into my reports, into Slack (with integration support), into comments, and there they are. I'm using Dovetail for multiple hours every day.
They provide a wide set of tools to look at your interview data (and now also surveys, NPS, tickets, etc), and synthesize it from a birds eye view.
If you're trying to build a dynamic, ever growing repository, Magic Search is a gamechanger for finding what you need amidst the reams of data. It's largely stakeholder friendly and has definitely made some jaws drop when I've shown them how to use it.
Finally, the Dovetail team itself is exceptionally responsive to feedback and has built a lovely community of research-minded folks. It's very clear that they're building based on what we're saying, and they take suggestions very seriously.
They provide a wide set of tools to look at your interview data (and now also surveys, NPS, tickets, etc), and synthesize it from a birds eye view.
If you're trying to build a dynamic, ever growing repository, Magic Search is a gamechanger for finding what you need amidst the reams of data. It's largely stakeholder friendly and has definitely made some jaws drop when I've shown them how to use it.
Finally, the Dovetail team itself is exceptionally responsive to feedback and has built a lovely community of research-minded folks. It's very clear that they're building based on what we're saying, and they take suggestions very seriously.
What do you dislike about the product?
Pricing. Some of the features (workspace tag boards namely) that we leaned on in previous years on a Team plan (legacy) got locked behind their Business plan. It was a near 4x leap in costs to maintain parity with what we had before to maintain our existing repository structure.
They've been developing many new AI-powered features that are recouping some of that value, but those are available on ALL paid plans, so it feels a bit hard to justify the shift (or at least it stung dearly as an existing customer).
As a tool, Dovetail definitely has some learning curves. Stakeholders usually need significant hand-holding to learn how to leverage the tool, both as a viewer or a contributor.
They've been developing many new AI-powered features that are recouping some of that value, but those are available on ALL paid plans, so it feels a bit hard to justify the shift (or at least it stung dearly as an existing customer).
As a tool, Dovetail definitely has some learning curves. Stakeholders usually need significant hand-holding to learn how to leverage the tool, both as a viewer or a contributor.
What problems is the product solving and how is that benefiting you?
Dovetail streamlines working with qualitative data. It automates transcription. It now even has automatic meeting import. It suggests highlights. It has AI analysis tools. All of the raw data is flexible and can be arranged into interactive reports (insights) for quick building, and engaging content. This means I'm not spending time editing video clips, downloading and uploading things, or tabbing through all the interviews separately to find themes. I can look at the themes, tags, and interesting quotes from a birds eye view to catch patterns.
I've built out a robust repository in Dovetail, and it's been a godsend for answering the question of "what do we know about X". Previous research is just a few clicks away instead of trying to remember what dusty archive it was stored in. Because I use a global taxonomy, I also can leverage that, filters, and magic search to get to some very nuanced questions.
I've built out a robust repository in Dovetail, and it's been a godsend for answering the question of "what do we know about X". Previous research is just a few clicks away instead of trying to remember what dusty archive it was stored in. Because I use a global taxonomy, I also can leverage that, filters, and magic search to get to some very nuanced questions.
A Tool for Efficient Knowledge Sharing in Project Teams
What do you like best about the product?
One of Dovetail’s key features that speeds up our work is the automatic suggestions for highlights. This allows for faster and more efficient analysis of transcripts from user interviews, helping us quickly extract key insights from research. This feature is especially valuable when dealing with larger amounts of data, as it automates certain stages of analysis, saving us time.
What do you dislike about the product?
While Dovetail is extremely helpful, we see potential for greater flexibility in tag-based analysis. Currently, the tagging function works well, but additional options for analysis could further streamline our workflow.
What problems is the product solving and how is that benefiting you?
At our company, which has multiple small project teams working on different products – primarily Jira applications – Dovetail has proven to be an incredibly valuable tool. Our design team, which is also responsible for UX research, uses Dovetail to centralize and organize research findings. This allows us to share insights and findings with other teams.
Importantly, our applications sometimes overlap in terms of functionality, meaning that knowledge gained from one project can be valuable to other teams. Dovetail makes it easy to browse and apply insights from other teams’ research, significantly enhancing the efficiency and consistency of our work.
Importantly, our applications sometimes overlap in terms of functionality, meaning that knowledge gained from one project can be valuable to other teams. Dovetail makes it easy to browse and apply insights from other teams’ research, significantly enhancing the efficiency and consistency of our work.
Powerful tool for UXR
What do you like best about the product?
Tagging is easy-to-use and I love the visual aspect like the Charts and Insights sections. Categorizing and searching through hundreds of user interviews is straightforward, even for those who haven't used a UXR platform like Dovetail before.
What do you dislike about the product?
I would love if Dovetail didn't cut off the insights titles in the Charts section (especially for bar charts). I've experience a few usability issues as well when tagging that's slowed me down.
What problems is the product solving and how is that benefiting you?
Dovetail makes it easier to tag and summarize user research interviews, which we use to inform stakeholders of why/how we're building certain features. We use it for both broad user research, and specific analysis of prototypes.
An easy to use and incredibly valuable tool for qualitative researchers!
What do you like best about the product?
It is safe to say that I am a major fan of Dovetail! Since being introduced to it a couple of years back it has been my go-to software whenever I'm undertaking qualitative analysis.
One of the first things which converted me to the platform was the fact that it's incredibly easy to learn how to use - a quick overview by a colleague tends to be enough to get set up and started! I have introduced a number of my own colleagues to the platform (as well as different departments) and all have agreed that it's really easy to get to grips with.
As a researcher, I find Dovetail invaluable at helping me collect, analyse, synthesise and ultimately make sense of my data - I would be lost without it!
The recent AI integrations which have been added to the platform are fantastic tools to help save a lot of time. I've only really scratched the surface with these so far and I'm excited to see how they can further add value to my work!
One of the first things which converted me to the platform was the fact that it's incredibly easy to learn how to use - a quick overview by a colleague tends to be enough to get set up and started! I have introduced a number of my own colleagues to the platform (as well as different departments) and all have agreed that it's really easy to get to grips with.
As a researcher, I find Dovetail invaluable at helping me collect, analyse, synthesise and ultimately make sense of my data - I would be lost without it!
The recent AI integrations which have been added to the platform are fantastic tools to help save a lot of time. I've only really scratched the surface with these so far and I'm excited to see how they can further add value to my work!
What do you dislike about the product?
The only negative I'd raise is the cost of Dovetail - however this is similar to most other software liek this!
What problems is the product solving and how is that benefiting you?
Dovetail is a fantastic tool for helping me to collate all my qualitative user research insights in one place. It is an invaluable tool for fasciliatating analysis, also allowing for collaboration on this task. It helps me to analyse, organise and present my data in a really user-friendly visual manner.
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