AYLIEN is an AI, NLP & Machine Learning startup based in Dublin, Ireland. They provide Text Analysis & News API's that allow users to make sense of human-generated content at scale. The AYLIEN News API can be used to aggregate, understand, and deliver relevant news in apps and solutions. AYLIEN's top tier solution RADAR can be used to proactively monitor and identify critical events related to a business, its competitors, suppliers, and customers.
N/A
Dovetail
Score 8.6 out of 10
Mid-Size Companies (51-1,000 employees)
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
Aylien
Dovetail
Editions & Modules
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Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
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Pricing Offerings
Aylien
Dovetail
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Discount available for annual billing on the Professional plan.
We've been using Dovetail for going on 4 years now, and I can not imagine not having it now. Dovetail is perfect for research teams where findings are scattered across many different areas, allowing you to bring all your customer findings into one place that anyone on your team can search and sort. Dovetail is also an amazing tool to speed up analysis, especially of qualitative data. Highlighting and tagging your transcript really helps you discover patterns and insights. I do find it's a little lacking for quantitative data, and you may need additional tools to analyze things like survey data.
Tagging with a teammate. This is great for general topics and tracking trends for later analyze. We usually cross tag by sentiment + topic from our testing session. Creates a system that can be used by multiple people.
User repository. For each interview we create a new user or cross reference if existing. This helps us keep track of who we have talked to across sessions and helpful if we want to see the change in responses for various features as we move through the app development process.
Having all the tag options in the insights. I like having the columns where we can mark it by progress, type, user working on it, status, etc.
Increased metrics tracking for individual projects/folders.
Use case sharing across different companies...how are others utilizing Dovetail that maybe we haven't even considered yet...maybe in a newsletter.
Research Newsletter development feature, direct from/within Dovetail, would be amazing. What my team primarily does now is link reports into an email or email builder tool. It would be amazing if maybe AI could whip that up for me in the Dovetail platform..
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.
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.
