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
InfoNgen
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N/A
InfoNgen is an AI-based text analytics software. It leverages NLP and machine learning to help small, medium, and large businesses search, collect and analyze updates critical to staying competitive and driving effective marketing decisions.
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Pricing
Dovetail
InfoNgen
Editions & Modules
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
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Offerings
Pricing Offerings
Dovetail
InfoNgen
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.
I find it really useful and time-saving. Compared to conducting the analysis and synthesis manually as I used to do, this is a really big improvement. The one thing that is missing is taking into account users' non-verbal data, for instance, pauses, confusion... So it is important that the researcher adds this themselves to their results. Dovetails is especially useful if your script is very structured, so you can categorise your data following it. Less so if you have a semi-structured script or you need to rely on the user's non-verbal cues
Dovetails search is amazing! It allows our teams to jump into Dovetail, ask questions of ALL the data we have there, and provide amazing summaries. This is really great for getting a high-level overview of a particular subject matter. It also provides links to transcripts that verify the summary's source.
Speaking of summaries, the AI's summary of a question is amazing. Again, it highlights parts of the transcription that validate the summary. This is an awesome tool for high-level summaries of any research question.
I love the tagging for research analysis. The tags are project-specific, so not across your entire data set, but still incredibly helpful. I can review calls and transcripts, highlight and tag any text relevant to the research questions I'm trying to answer. And look through all data for a specific tag, and much more easily spot trends or patterns. This is my bread and butter as a researcher with Dovetail.
Lastly, I love the collaborative aspect. Anyone in our organization can log in to Dovetail and review data. I will often share clips directly from Dovetail with stakeholders, who can easily view them. Overall, the collaborative effort has been a huge help in getting more team members into Dovetail.
The filters on the insights don't stay. I will set something to sort by A-Z and then it resets when I leave the page. This wouldn't be an issue if I didn't have to reset the page so much. Dovetail will freeze and make me refresh.
The highlights pages freezes when 2 people try to work on it and there is a medium amount of tags.
It would be nice to have an option to see not only if a tag was added to the current highlight board but if its been added to a board at all. We usually do a page per topic and sometimes there is cross reference so we manually have to double check sometimes.
I don't love the new layout for hiding the filters bar especially on the data page. I had a template that filtered by "planning docs" vs" interview docs" and at first glance looked like I lost the interview ones. The old layout was better.
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.
