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
Survicate
Score 8.5 out of 10
N/A
Survicate is survey software for getting continuous customer insights at scale. It can be used to measure customer satisfaction (CSAT), track an organization's Net Promoter Score (NPS), get website feedback, or test product-market fit. Survicate supports any use case related to collecting and managing customer feedback. Survicate can be used to: • Create customized surveys and start getting customer feedback within minutes • Run surveys where they are needed: via email…
$99
per month 500 responses per month
Pricing
Dovetail
Survicate
Editions & Modules
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
Good
$99
per month 500 responses per month
Better
$149
per month 1000 responses per month
Best
$249
per month 2500 responses per month
Better Than The Rest
$269
per month
Better Than The Rest
$299
per month Custom pool of yearly responses
Offerings
Pricing Offerings
Dovetail
Survicate
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
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.
Additional fees apply for additional users and domains. The price of the Scale plan is negotiated individually and depends on the number of monthly responses needed and possible custom needs, including integrations.
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 …
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.
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 …
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 …
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 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.
I must say, the quality and level of Customer Success done by the Survicate team is outstanding. As a customer of the highest tier package of Survicate, we regularly receive hints and suggestion on what we can improve when it comes to our surveys. We even have a Slack channel, …
Survicate is great at allowing us to poll users in-app and quickly analyzing results for distribution amongst the organization. However, its surveying capabilities are limited, visual interfaces are all over the place, which risks damaging the site's overall visual appeal, and …
Considering the simplicity of the need, and the cost of such solution (~600$/yr), I don't think there was very deep research for any alternatives. The main alternative was embedding a feedback tool "organically" into our site, that option was taken off the table, for strategic …
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
Sruveys with more complex flows/logis - especially when you want to link results back to specific users to be able to do more-in-depth analysis of results
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..
In my opinion, inconsistent and visually unappealing survey visuals (e.g., NPS and cSAT questions look completely different from each other, creating a disjointed visual experience)
Poor customer service (in my experience, issue resolution can take weeks)
Lack of clarity around API & other technical capabilities requiring engineering assistance
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!
Only if we will really consider other features, we might end up with an alternative tool. if will continue the business process as it is, I don't anticipate migrating to another product
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
In my experience, implementation was very drawn out and overly complicated (needed lots of engineering help from both sides), visual interface both within the tool and surveys shown in-app is unappealing and sometimes misleading, and making sure the right users are being targeted for any given survey sometimes requires more babysitting than ideal.
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
Survicate offers quick in-product support, via chat ( not a chatbot ) that responds in minutes, not hours. For all customers. This is definitely something I don't see in some of the tools we use. Secondly, as a highest-package customer we're receiving insightful tips, and recommendations from our Customer Success Manager, who knows our use-cases really well and knows how Survicate can best address them. We even have a Slack channel, where we can get help in no-time
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.
Setup was simple. One-time installation for our website and inside the product. We used Google Tag Manager to implement Survicate. So within 2 hours, we were able to run surveys, and also all attributes and events were passed to Survicate, so that we were able to use them to trigger surveys
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 interviews at all and could only handle text which, again, would rely on accurate transcriptions to get insights and analysis. Having it all-in-one was the much better option.
Survicate is great at allowing us to poll users in-app and quickly analyzing results for distribution amongst the organization. However, its surveying capabilities are limited, visual interfaces are all over the place, which risks damaging the site's overall visual appeal, and customer service for anything beyond basic questions is very slow.
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.
The first biggest ROI is the time savings. As a research team of one, there is only so much that I can do with my bandwidth. Dovetail allows me to close out research projects much faster than doing it manually. I can upload video interviews, highlight and tag parts of the transcript that relate to research questions, and easily summarize. Highlighting allows me to get the perfect soundbite for a research readout, and overall, Dovetail has helped me move faster and with greater accuracy.
Another huge ROI for us is the improved productivity. Product managers, designers, and other colleagues can easily go into Dovetail and ask the chat/search for answers to questions they are trying to figure out. All of this without having to reach out to me, the solo researcher. This saves me a ton of time in Slack messages and meetings.
The value of the repository itself is huge. Since all of our research is stored in Dovetail, we can easily search previous research to ensure we are not duplicating efforts or even missing key customer information that may have come up in a separate study. This gives our research a longer shelf life, making it even more valuable.
Being able to automatically identify topics from open-text responses significantly reduced amount of manual work on our end. Hours saved on weekly basis.
One-time quick installation reduced the potential amount of development time required to either build surveys, or update them on our own.
We find these surveys to be a good alternative to lengthy questionnaires, or deep interviews. They're super quick to launch, and generate insights almost instantly. Money and time may be saved on user interviews, and incentives to take questionnaires.