Dovetail use in a large company.
Updated September 12, 2025
Dovetail use in a large company.

Score 9 out of 10
Vetted Review
Verified User
Software Version
Enterprise
Overall Satisfaction with Dovetail
We use it for 2 main reasons: - First, gathering our rights in the same place, with a big company, we always struggle to have it stored in one place. With numerous teams conducting qualitative and quantitative research, we utilize it extensively as researchers to analyze our interviews or surveys. The AI features really help, specifically the Chatbot to discuss with our data. We primarily use it within the design team, but hope to expand its use among our stakeholders.
Pros
- A chatbot to discuss the interview data works really well if you do it interview by interview.
- AI Insights to get a quick view of what you learn from your research.
- Find insights among a large sample of data.
Cons
- 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've seen significant improvement in user-centered design within the company. As a result, we had to add seats because 80% of our designers now directly use Dovetail to analyze interviews and user tests.
- Reduced the number of repositories we use; 3 teams now gather their report in Dovetail instead of having 3 different repositories.
- Increase productivity for us as researchers, reducing our analysis time by 50%, and allowing us to quickly share first facts when we start research.
It had a significant impact; we tried various approaches and tested different AI features. The tag system is not particularly relevant, as the AI can analyze the interview content directly. The insight creator is good enough for quick analysis, but we don't share it as it is too broad. Chatbot makes a huge difference, better when you use it with one note/data at a time, than with a bunch of data at once. The feature to summarize insight content really helps, mostly when we upload PDF or other format reports.
It helps us adopt a more user-centered approach, we avoid conducting research twice, and the more we use it, the less frequently those time losses occur. The teams around design are increasingly interested in the storage aspect and want to add more of their data.
Do you think Dovetail delivers good value for the price?
Yes
Are you happy with Dovetail's feature set?
Yes
Did Dovetail live up to sales and marketing promises?
Yes
Did implementation of Dovetail go as expected?
Yes
Would you buy Dovetail again?
Yes
Using Dovetail
50 - Mostly UX researcher and designers (writers, UX UI, Service designers…) and their management, they are the main contributors with the research team.
Then we have performance teams, marketing teams and other team doing quantitative research. But they use it for the repository more than the orher features. With the chatbot in Beta now the use for research is increasing
1 - I am managing the tool, my tasks are to update and train the team when new features are launched, make sure to download any relevant content to the repository and verify what is uploaded in the tool. With all the AI feature we need to pay attention to how it is usée and make sure to give the right method to our users to avoid bias etc. In the analysis.
- Repository of research project
- Qualitative research analysis powered by AI
- Insights classification
- Interview retranscription
- Quickly summarize big PDF reports that are never read
- Analyse data sheets (we were not using it for a long time)
- Channels and quantitative integration coule be nice
Evaluating Dovetail and Competitors
Not Sure
- Scalability
- Ease of Use
From what I discussed with the team when they purchased it the most appealing aspect was the usability, or at least the interface design and the variety of features offered. A well-designed tool can be a strong entry point for design teams, and since the features were solid enough, we really connected with the tool. The range of use progressively increase to other teams around us and they quickly feel how to get the most of the tool.
I didn’t take part in the tool selection process, but I would have chosen this tool if I had been able to. I had already recommended it in my previous job.
Dovetail Implementation
Dovetail Training
Configuring Dovetail
I would just say to clearly define what we want to prioritize and the main use cases, so we can start there. There are so many possibilities that we need to choose and focus on a limited set of uses initially.
Some - we have done small customizations to the interface - It was fairly easy. It mainly involved setting up the homepage, creating templates for our research projects, and creating feeds from the different moments of our customer journey. These three tasks alone were quite straightforward to complete.
No - we have not done any custom code
Dovetail Support
| Pros | Cons |
|---|---|
Quick Resolution Good followup Knowledgeable team Problems get solved Kept well informed No escalation required Immediate help available Support understands my problem Quick Initial Response | None |
No, I don’t think so. I wasn’t involved in that process, as it took place before I joined. I believe that if we were to upgrade, it wouldn’t be in this area for budget reasons.
I don’t recall such a situation. I was able to ask our CSM to lead a few presentations for the team, and the feedback was very positive. The support team really masters the subject, so the presentations and discussions have been of high quality.
Using Dovetail
| Pros | Cons |
|---|---|
Like to use Relatively simple Easy to use Technical support not required Consistent Convenient Feel confident using Familiar | Slow to learn |
- AI powered search bar
- Chat with the data (beta)
- Interview trasncriptions
- Search with the searchbar without AI and filter among the data categorized using fields (need a lot of knowledge)
- Project management because you need to differenciates note and insights but the format are quite close, it needs more expertise
Dovetail Reliability
Integrating Dovetail
- Microsoft teams
I think so, but it still needs to be evaluated from a budgetary perspective to see if it’s feasible.
- File import/export
No
none as i did not experienced it
Relationship with Dovetail
I was not part of it
I don't

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