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.
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Optimizely Web Experimentation
Score 8.7 out of 10
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Whether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.
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Pricing
Dovetail
Optimizely Web Experimentation
Editions & Modules
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
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Pricing Offerings
Dovetail
Optimizely Web Experimentation
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
Optional
Optional
Additional Details
Discount available for annual billing on the Professional plan.
As a qualitative researcher who conducts client interviews, I find that Dovetail's ability to accurately transcribe the conversations (which, many times, include technical jargon that Dovetail is able to pick up on), synthesize the relevant information, pull highlights and insights, and create shareable reports is much better than other programs I've used in the past.
I think it can serve the whole spectrum of experiences from people who are just getting used to web experimentation. It's really easy to pick up and use. If you're more experienced then it works well because it just gets out of the way and lets you really focus on the experimentation side of things. So yeah, strongly recommend. I think it is well suited both to small businesses and large enterprises as well. I think it's got a really low barrier to entry. It's very easy to integrate on your website and get results quickly. Likewise, if you are a big business, it's incrementally adoptable, so you can start out with one component of optimizing and you can build there and start to build in things like data CMS to augment experimentation as well. So it's got a really strong a pathway to grow your MarTech platform if you're a small company or a big company.
I really like the User Interface, how easy it is to have all your research data in one project and how visual it is to understand where are things. It does have a good User Experience.
I like how nice and easy it is to create categories or use the ones auto generated as a starting point. It is very easy to create a color coded set of categories that help make sense of the data.
I like how easy it is to see the video snippet of a specific highlight.
The Platform contains drag-and-drop editor options for creating variations, which ease the A/B tests process, as it does not require any coding or development resources.
Establishing it is so simple that even a non-technical person can do it perfectly.
It provides real-time results and analytics with robust dashboard access through which you can quickly analyze how different variations perform. With this, your team can easily make data-driven decisions Fastly.
I think one of Dovetail's biggest challenges is discoverability. They are constantly shipping new features and adding more functionality, but I find the help articles and videos do not go deep enough or even provide enough help to get started. I'm sure I'm not utilizing the platform to its full potential, and I think better training or onboarding across all tiers would help us get more out of Dovetail. Its hard to even know what you're not using or what you don't know.
On the Enterprise plan, you get a dedicated account manager who can handle your onboarding. That's the only plan with an account manager. And it's a little unfortunate. When you write into the help center, they direct you to a help article, which again does not go deep enough. I wish there were more opportunities for training and enablement for lower tiers.
I think Dovetail is amazing for qualitative research, but I find it very frustrating and lacking for quantitative research. I don't think it makes survey analysis very easy. I would be looking for something closer to a Sheets or Excel for quant analysis, but Dovetail is pretty crude in what it allows you to do with survey results.
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!
I rated this question because at this stage, Optimizely does most everything we need so I don't foresee a need to migrate to a new tool. We have the infrastructure already in place and it is a sizeable lift to pivot to another tool with no guarantee that it will work as good or even better than Optimizely
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
Optimizely Web Experimentation's visual editor is handy for non-technical or quick iterative testing. When it comes to content changes it's as easy as going into wordpress, clicking around, and then seeing your changes live--what you see is what you get. The preview and approval process for sharing built experiments is also handy for sharing experiments across teams for QA purposes or otherwise.
I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
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.
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
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
They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
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.
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
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.
The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you need to confidently make changes
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.
We can use it flexibly across lines of business and have it in use across two departments. We have different use cases and slightly different outcomes, but can unify our results based on impact to the bottom line. Finally, we can generate value from anywhere in the org for any stakeholders as needed.
Having a centralized research space is a game changer. Makes it so much easier to hand over research if working with new people and have system in place (using the templates). Saves so much time. We don't have hard numbers on the hours saved but we are much more efficient using Dovetail than without.
The tagging system in general is amazing and allows for consistency in topic marking. This was non-existent for our team before Dovetail and now we can do much more granule reports with exact # of times something was said with accuracy.
We're able to share definitive annualized revenue projections with our team, showing what would happen if we put a test into Production
Showing the results of a test on a new page or feature prior to full implementation on a site saves developer time (if a test proves the new element doesn't deliver a significant improvement.
Making a change via the WYSIWYG interface allows us to see multiple changes without developer intervention.
