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
MonkeyLearn
Score 9.2 out of 10
N/A
MonkeyLearn is a Text Analysis platform that allows companies to create new value from text data.
$299
month
Pricing
Dovetail
MonkeyLearn
Editions & Modules
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
API
$299
month
Studio
custom pricing
Offerings
Pricing Offerings
Dovetail
MonkeyLearn
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual billing on the Professional plan.
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 …
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 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 …
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.
Dovetail outperforms in qualitative research analysis by offering advanced tagging transcription and centralized insights. I think notion is good for large or complex documentation but Dovetail is nice for qualitative documentation. Maze is better for usabilty testing , …
Dovetail has some niche capabilities for market research that these alternative competitors do not like embedded transcription, insight clipping, sharing across a research team, etc. The others in my list have more features and are designed for knowledge management. For …
It offers features and models designed specifically for customer service organizations and product teams whose purpose is to extract data to use for improvements.
Text analysis tools. Thanks to its more than 60 native integrations in the platforms, they make it possible to import your data sets. Furthermore, they also make it easy to export your data sets to other programs. Built-in extensions make their flexible platforms. Some of these …
When we used Amazon Comprehend in our organization we were not satisfied with its results and we felt that MonkeyLearn meets the needs of our business better than Amazon Comprehend. When comparing the quality of ongoing product support, we found that MonkeyLearn is the …
See 1st question answer for my use case, I went into depth there for the specific use cases we have. For less appropriate (touched on this earlier) the final report is not great in dovetail. The formatting options are not great and does not look professional because of the lack of customization and layouts. For my customer we wouldn't be able to present that data as it's constructed. So we have to copy and paste all the quotes and insights to a word doc. That's ok but then it means if we want to use Dovetail as a repository of data we have to then re-import a pdf of the report into the project page.
I have used MonkeyLearn to analyze texts and extract information, that has been a tough task for me because I have to do it manually, but this software has made it easy for me, it is very easy to use and very intuitive, I can use it for extracting information from emails, chats, forums, websites, etc. I would definitely recommend using this platform to others.
The tagging, linking, and repository features make it simple to maintain a living library of knowledge, ensuring past work is never lost.
Dovetail enables our researchers and non-research partners to engage more directly with findings, fostering a stronger culture of evidence-based decision-making.
Dovetail makes it simple to track engagement metrics with research insights proving overall ROI.
I like how MonkeyLearn can track customer feedback for us, it helps us get more data about customer needs, it makes it easier for us to analyze customer feedback and act on it in the future.
Easily build and train a machine learning model to tag and classify your text.
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!
One of Dovetail’s key strengths is that it’s very easy to get started with — even for people without a research background. Uploading a transcript, tagging highlights, and generating a quick summary is intuitive and low-effort, which helped drive organic adoption at Dext. However, mastering the more advanced features — like taxonomy management, insight reporting, or strategic tagging structures — does require more time and guidance. The learning curve becomes steeper as you try to scale insight operations or enforce consistency across teams.
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.
My customer success manager is very responsive and has always been able to answer my questions and resolve issues quickly. The collaboration is smooth, so I have no complaints in that regard.
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.
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 tools I've used in the past due to the amount of time it takes and would choose Dovetail over Google Workspace, UserTesting, and Basecamp hands down
Text analysis tools. Thanks to its more than 60 native integrations in the platforms, they make it possible to import your data sets. Furthermore, they also make it easy to export your data sets to other programs. Built-in extensions make their flexible platforms. Some of these integrations include word processing, detection, and web mining.
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.
Researchers and designers now spend less time digging through scattered notes or redoing similar studies. Centralizing everything in Dovetail has significantly reduced the time needed to prepare synthesis reports, align stakeholders, or onboard new teammates into past research.
With Dovetail, user insights are no longer abstract or anecdotal—they're traceable, searchable, and backed by real quotes. Product teams feel more confident making roadmap decisions based on what users actually need, not assumptions.
Dovetail has encouraged more non-designers to engage with user feedback directly. This democratization of insights helps align everyone around real user problems, which ultimately leads to better product-market fit and faster iteration loops.
