Appian is a low-code development and business process management platform. It features drag-and-drop design for app building, automated work processes, unified data management, and cloud-based deployment.
$0
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
expert.ai NL Suite
Score 10.0 out of 10
N/A
The expert.ai NL Suite (formerly Cogito Intelligence Platform (CIP) from Expert System, rebranded expert.ai) performs analysis of unstructured data sets to organize, discover and explore information in order to support intelligence workflows by providing actionable insight as data emerges. CIP leverages Artificial Intelligence based on full Natural Language Understanding to automatically comprehend and process concepts in text. By assigning the correct meaning to words based on context, CIP…
N/A
Pricing
Appian
Dovetail
expert.ai NL Suite
Editions & Modules
Appian Community Edition
$0
Application - Input-Only
$2
per month per user
Application - Infrequent
$9
per month per user
Application - Standard
$75
per month per user
Platform
Custom Quote Priced per user with unlimited apps.
minimum 100 users, no maximum
Unlimited
Custom Quote Priced per development with unlimited apps.
unlimited
Platform
Custom Quote Priced per user with unlimited apps.
Minimum 100, no maximum
Unlimited
Custom Quote Priced per development with unlimited apps.
Unlimited
Free
$0
Professional
$15
per month
Enterprise
Contact Sales
per year
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Offerings
Pricing Offerings
Appian
Dovetail
expert.ai NL Suite
Free Trial
Yes
Yes
No
Free/Freemium Version
Yes
Yes
No
Premium Consulting/Integration Services
Yes
No
No
Entry-level Setup Fee
No setup fee
Optional
Optional
Additional Details
—
Discount available for annual billing on the Professional plan.
Appian works great for automating manual processes and integrating multiple systems through its toolset. It gives great flexibility for establishing rules for approvals, routings, escalations, and the like. Because of the low code toolset, it's very easy to deploy and make changes as needed as processes evolve and as the organization learns to utilize the system better. Minimal maintenance is required to support the applications build on the platform. Some of the automated testing integration with tools like Jenkins is limited so that may be an issue for some.
See 1st question answer for my use case, I went into depth there for the specific use cases we have. For less appropriate (touched on this earlier) the final report is not great in dovetail. The formatting options are not great and does not look professional because of the lack of customization and layouts. For my customer we wouldn't be able to present that data as it's constructed. So we have to copy and paste all the quotes and insights to a word doc. That's ok but then it means if we want to use Dovetail as a repository of data we have to then re-import a pdf of the report into the project page.
Existing body of data regarding our demographic targets, including social media, so for our psychographic targets, quite helpful. Alerts assist us in anticipating specific market demands. Yet AI is in its infancy so Cogito can only go as far as beta can go.
Allows at a glance workflow documentation which assists in the need we have for information readiation.
Drag and drop interface for workflow development greatly speeds our apps time to market.
Using the advanced features of Appian, we are able to create working sites in a fraction of the time it would take to do so using "traditional" development.
The tagging, linking, and repository features make it simple to maintain a living library of knowledge, ensuring past work is never lost.
Dovetail enables our researchers and non-research partners to engage more directly with findings, fostering a stronger culture of evidence-based decision-making.
Dovetail makes it simple to track engagement metrics with research insights proving overall ROI.
Search issues when type ahead and database search are used in the same field.
Buttons implementation where user is require[d] to click on the button description - if clicks on the button outside that text - button will not work.
Problems with using certain off-the-shelf performance tools like WebLoad or Neoload. That is because of different dynamic variables being used internally in Appian - which these tools are unable to correlate. We are still investigating using other tools like Jmeter to overcome dynamic correlation problem for performance testing.
We should have a trust indicator for our insights, as it is difficult to quickly determine when they are trustworthy or not.
Chatbot analysis within different data, I mostly use it with a small sample and replicate the process instead of using the chatbot for more global analysis.
Insight creation, the format is not always really engaging, and you can't really create a presentation from it. It does not align with some stakeholder expectations and requires us to redo the work.
We recently renewed our license with Appian. We are convinced that its flexibility, relative ease of use, the support they provide, there mobile advancements and their general willingness and desire to see us succeed all contributed to our reason to renew our agreement with Appian
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!
Appian is a low code environment, because of this, a very good visual interface is required. Appian is providing a feature-rich dashboard [that] we can use for building the dashboards and other interfaces. Appian also provides patches and releases to enhance these features. A developer can start off development just by going through a basic course from the Appian learning community.
Very organized and user-friendly; however, the editing capabilities for the analysis report/insight doc could use some work. There was a recent update also causing it to be harder to find the in-project search bar and where to switch from the highlight list and highlight board view, which made the experience more challenging, especially since I was sharing my screen. Not only did it catch me off guard that it changed, but stakeholders and I were trying (on-call) to figure out how to access it and couldn't. After the call, I did more digging and finally found it, but that was after a bit of time. Outside of this and the editing for insight reports, I feel like the usability is actually very well thought out and effective.
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.
Appian is one of the leading low code business automation platforms that support RPA, decision rules, case management, workflow automation, and machine learning all in a single bundle. But it is also harder to implement and replace the traditional business process.
My customer success manager is very responsive and has always been able to answer my questions and resolve issues quickly. The collaboration is smooth, so I have no complaints in that regard.
As analyst I participated in a developer boot camp. At times it was hard to keep up but most of the time it made sense. Trainer took the time to explain and slowed pace down to answer questions etc.
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.
Appian has enormously transformed and keeps on updating the product every quarter to meet the latest needs of the world with new innovations & technologies being integrated within the platform. What gives more pleasure than a product that keeps on continuous[ly] improv[ing]?
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 it ideal for cross-functional teams. Compared to other tools, Dovetail offers the best balance of depth for researchers and clarity for decision-makers.
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.
I believe it has negatively impacted our release dates. There may have been a misunderstanding as to the learning curve, even though it is "low code."
The look and feel of the applications created using Appian have uniformity and it's easier to have "reuse" between applications.
There is less developer control when it comes to features. I think this mainly has to do with the amount of plugins available. I would think there should be many more available plugins. But again, our use case is probably different than most others.
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.