Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dovetail
Score 8.7 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
Lookback
Score 7.8 out of 10
N/A
Lookback is a UX research platform for mobile & desktop moderated and unmoderated research, from the company of the same name in Palo Alto.N/A
Pricing
DovetailLookback
Editions & Modules
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
No answers on this topic
Offerings
Pricing Offerings
DovetailLookback
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual billing on the Professional plan.
More Pricing Information
Community Pulse
DovetailLookback
Considered Both Products
Dovetail
Chose Dovetail
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.
Lookback

No answer on this topic

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DovetailLookback
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Smartlook
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Score 8.6 out of 10
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Medium-sized Companies
Optimal
Optimal
Score 9.1 out of 10
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Optimal
Score 9.1 out of 10
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Optimal
Optimal
Score 9.1 out of 10
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All AlternativesView all alternativesView all alternatives
User Ratings
DovetailLookback
Likelihood to Recommend
8.4
(23 ratings)
9.0
(2 ratings)
Likelihood to Renew
8.2
(1 ratings)
-
(0 ratings)
Usability
6.9
(22 ratings)
8.0
(1 ratings)
Availability
9.1
(1 ratings)
-
(0 ratings)
Performance
7.3
(1 ratings)
-
(0 ratings)
Support Rating
8.2
(1 ratings)
-
(0 ratings)
Online Training
8.2
(1 ratings)
-
(0 ratings)
Configurability
6.4
(1 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
6.4
(1 ratings)
-
(0 ratings)
Product Scalability
8.2
(1 ratings)
-
(0 ratings)
Vendor post-sale
7.3
(1 ratings)
-
(0 ratings)
Vendor pre-sale
5.5
(1 ratings)
-
(0 ratings)
User Testimonials
DovetailLookback
Likelihood to Recommend
Dovetail
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
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Lookback
Best suited to conduct remote interviews that are moderated and facilitated by the interviewer/researcher.
Not the best if you want to do it unmoderated, there are much more sophisticated tools out there. Unfortunately, for a design research team that does both these kids of research, it can be hard to get budgets to get two softwares and hence the Unmoderated Feature can seem super undercooked and doesn’t really do the job.
Otherwise it’s a great tool
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Pros
Dovetail
  • 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.
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Lookback
  • Organization of user interviews
  • Sharing of interviews across the team
  • Creating highlights of insights
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Cons
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.
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Lookback
  • Unmoderated interviews is still under cooked as a feature
  • The process of how participants have to download an app to start an interview is a large friction point for us
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Likelihood to Renew
Dovetail
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!
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Lookback
No answers on this topic
Usability
Dovetail
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
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Lookback
Once you understand how the interface works, it works great, but there is a learning curve
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Reliability and Availability
Dovetail
I’ve never had any access issues with Dovetail, so I don’t see any problems in that area.
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Lookback
No answers on this topic
Performance
Dovetail
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.
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Lookback
No answers on this topic
Support Rating
Dovetail
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
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Lookback
No answers on this topic
Online Training
Dovetail
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.
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Lookback
No answers on this topic
Alternatives Considered
Dovetail
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.
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Lookback
Zoom was way more expensive and it o is designed to other things apart from just running qualitative interviews. It also requires a different kind of approval and different approval processes to go through when trying to get it simply for qualitative research purposes.
Lookback records, scribes, helps observe and provides a sentiment check as well in the price that it does
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Contract Terms and Pricing Model
Dovetail
It’s very expensive, and we use a lot of features in beta. I think we could also be rewarded for our usage and frequent feedback on the tool.
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Lookback
No answers on this topic
Scalability
Dovetail
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.
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Lookback
No answers on this topic
Return on Investment
Dovetail
  • 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.
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Lookback
  • It allows us to understand our customers’ problems in a very team compatible way.
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ScreenShots

Dovetail Screenshots

Screenshot of the Contacts interface, used to find, schedule, and incentivize research participants.Screenshot of a visualization of customer feedback, used to identify patterns before they become problems. Using LLM and ML techniques, Channels continuously classifies and tracks themes in large data sets like support tickets, app reviews, and feedback.Screenshot of an example of a conversational insight, available in Slack. Here, users can quickly ask questions to access automatic podcast-style updates for all related data across Dovetail in Slack and Microsoft Teams.Screenshot of the navigation and project interface, designed to makes it easy for everyone to get started and find what they need in Dovetail.