Dovetail, headquartered in Sydney, aims to enable the world to create better products and services through deep customer understanding. Dovetail states they empower 45,000+ people, from agencies to universities to Fortune 100 companies, to make sense of their customer research in one collaborative research platform.
$0
per month
Pricing
Dovetail
Editions & Modules
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
Offerings
Pricing Offerings
Dovetail
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No
Entry-level Setup Fee
Optional
Additional Details
Discount available for annual billing on the Professional plan.
We currently have access to both of the listed programs through our company, but they were lacking in the ability to either accurately transcribe the interviews (which would lead to extra effort and time going in to correct the transcription errors) or would not analyze …
I haven't used similar tools. I used to do all of this in Miro, where I would create the categories and the themes manually and use color-coded post-its to do so. I have therefore nothing to compare it with.
I have not used any other products like Dovetail, previously we used to document on figjam or miro and the entire process was very manual. Once we have observations and insights mapped we would put it in AI for rest of the synthesis.
We looked at a few other options, Marvin and Reforge Insight. They were both pretty cool platforms that operate largely or entirely on AI, but neither quite fit our needs. Reforge Insight was cool, but it did not have all the features we needed from Dovetail, and switching to Ma…
We trialled Askable recently but found their AI query, "Docs" and tagging features to be far inferior in functionality and usability. It's also limited in terms of being able to upload your own data, whereas Dovetail allows you to import videos, images, etc from other platforms.
Looppanel didn't click well with me as it was difficult to get used to usability wise.
As for Notion, it's not a research-first tool so it took effort to keep things organised and at the right place
The tag system is clearly the main reason why I chose Dovetail. It allows me to structure, categorize, and retrieve insights efficiently across different types of research. Tags make it much easier to connect data from various sources, identify patterns over time, and reuse …
Compared to using word, and excel for example. The ease of access to Dovetail, as well as the overview it gives, makes it (for me) more accessible to use from a visual standpoint, as well as keeping it down to the core functions for research. Word is still nice for writing …
I think my organization selected Dovetail because we had previous experience with it, didn't have major concerns, and it enables fast research scaling.
I have not used any other products, tools or services, even though colleagues and people online suggest better in their opinion services and products. My companies always chose Dovetail and I have no power of opinion this matter. I am not sure which other tool I would choose …
I have used Condens for qualitative analysis in the past, and I really like that product. I think that Dovetail is more powerful in its ability to analyze with AI and organization. One feature I really liked about Condens was the ability to clip and tag quotes directly from the …
Better usability but less powerful in terms of integration. EnjoyHQ felt better for quantitave data when i used it for the last time. But my knowledge is not up to date.
Dovetail is 10X better. So much easier and truly meant for having one centralized workspace. Everything from the highlights and tags and videos and column customization when editing makes it easy to call them the winner in this field. I wouldn't want to go back to my other …
Dovetail is the most stakeholder-friendly research tool we've used.
Its visual insights, highlight reels, and intuitive interface make it easy for non-researchers to understand and act on customer feedback. Stakeholders can engage directly without needing deep training, making …
Marvin's approach to AI has always been a core part of their platform, and so the integration of AI features (and the focus on building an AI product that works effectively for the kind of research we are doing) has always been at the forefront of their thinking and design. …
Dovetail meets our needs the best with global codebooks, data retention rules, etc. Other platforms offered functionality we had in other tools or limited our ability to control data management and access controls. We would love even more in Dovetail, but like the direction …
Haven't used EnjoyHQ in the last three years, so cannot compare the new capabilities like AI. We switched to Dovetail because it was easier to use at the time.
As a qualitative researcher who conducts client interviews, I find that Dovetail's ability to accurately transcribe the conversations (which, many times, include technical jargon that Dovetail is able to pick up on), synthesize the relevant information, pull highlights and insights, and create shareable reports is much better than other programs I've used in the past.
I really like the User Interface, how easy it is to have all your research data in one project and how visual it is to understand where are things. It does have a good User Experience.
I like how nice and easy it is to create categories or use the ones auto generated as a starting point. It is very easy to create a color coded set of categories that help make sense of the data.
I like how easy it is to see the video snippet of a specific highlight.
I think one of Dovetail's biggest challenges is discoverability. They are constantly shipping new features and adding more functionality, but I find the help articles and videos do not go deep enough or even provide enough help to get started. I'm sure I'm not utilizing the platform to its full potential, and I think better training or onboarding across all tiers would help us get more out of Dovetail. Its hard to even know what you're not using or what you don't know.
On the Enterprise plan, you get a dedicated account manager who can handle your onboarding. That's the only plan with an account manager. And it's a little unfortunate. When you write into the help center, they direct you to a help article, which again does not go deep enough. I wish there were more opportunities for training and enablement for lower tiers.
I think Dovetail is amazing for qualitative research, but I find it very frustrating and lacking for quantitative research. I don't think it makes survey analysis very easy. I would be looking for something closer to a Sheets or Excel for quant analysis, but Dovetail is pretty crude in what it allows you to do with survey results.
Because we are really happy with the tool and it’s capabilities at the moment. The price increase is the main issue we can have but the features are getting better and better. It really saves a lot of time for our team and allow us to collaborate more efficiently with certain stakeholders that often did not réalise how much research we conduct. Now they can just have a look to it by themself!
As I said, since the navigation changed, I’m a bit lost. The previous structure felt more intuitive, and I could quickly access the sections I needed. Now, some areas seem reorganized in a way that’s less predictable, which slows me down. I sometimes have to click through multiple menus to find specific features or content
Regarding performance, I would say it’s satisfactory. Adding data and transcriptions is really fast and efficient, and can be done in the background, so I’m never hindered by these aspects. However, all the new AI-generated features are still somewhat slow to run. It’s nothing major, but it should improve in the future.
Support was good, especially when it comes to the capability of your support agents and engineers. But as i am located in Europe, the difference in the time zone made it hard to communicate with your offices and kept my work way back
The training went very well, and we co-built it to really address our needs. I also think it was beneficial to have feedback coming from someone other than myself (since I manage the tool), as it helped reinforce the points I wanted to highlight. The team’s feedback on the training was very positive.
I have used Condens for qualitative analysis in the past, and I really like that product. I think that Dovetail is more powerful in its ability to analyze with AI and organization. One feature I really liked about Condens was the ability to clip and tag quotes directly from the video, as if it were a movie-editing tool.
Management is quite straightforward; it’s easy to change access if certain stakeholders need to use it. The repository features are accessible to all teams, making it a good entry point into the tool. The more people use it, the more powerful the tool becomes, so it seems truly scalable to me. The limits are more financial, in terms of accessing additional features.
Having a centralized research space is a game changer. Makes it so much easier to hand over research if working with new people and have system in place (using the templates). Saves so much time. We don't have hard numbers on the hours saved but we are much more efficient using Dovetail than without.
The tagging system in general is amazing and allows for consistency in topic marking. This was non-existent for our team before Dovetail and now we can do much more granule reports with exact # of times something was said with accuracy.
