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Dovetail

Score8.3 out of 10

41 Reviews and Ratings

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What is Dovetail?

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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Categories & Use Cases

Media

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.

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Screenshot of the Contacts interface, used to find, schedule, and incentivize research participants.

Who Buys & Uses Dovetail

Dovetail Reviews

What users are saying about Dovetail.
View all Dovetail reviews

My FAV Research Repository.

Incentivized
Nic NievesView profile
Sr. UX/UI Designer in Marketing at BambooHR (1001-5000 employees)

Use Cases and Deployment Scope

We use Dovetail more than ever now to share valuable user research insights and organize our user research along with market research in one central place. I love the transcripts and often find them more accurate than other tools I've used. The ability to highlight, tag, quickly create demo reels, and share each of them so easily has greatly improved my team's workflow. I love being able to add comments on videos and tag teammates and stakeholders who would be interested in the insight, especially for relevant projects. We operate in a fast-paced environment, so tools like this are essential not only to speed up our workflow but also to maintain order. Without them, we would lose track of important data, making it less convenient for the team to access and we'd be much less efficient and doing research analysis reports.

Pros

  • Sharing insights with stakeholders.
  • One centralized space for all our research.
  • Transcripts for research sessions.
  • Tagging of highlights.
  • Demo reels based off custom filters.
  • dashboard views for interviews and user sentiments with quotes attached

Cons

  • When creating documents the formatting feature could be easier.
  • More custom formatting options especially in showing the demo reels.
  • Ability to share out PDFs of analysis reports.

Return on Investment

  • This improves efficiency for our team
  • It reduces effort and overwhelm of hunting for research and improves collaboration with stakeholders
  • This helps us be more productive and avoid losing valuable data due to poor organization

Usability

Alternatives Considered

Google Workspace, UserTesting and Basecamp

Other Software Used

UserTesting, Maze, Google Workspace

Powerful research repository that makes insights discoverable and actionable.

Incentivized
Keisha Amador, MBAView profile
UX Research Program Manager in Research & Development at Amazon (10,001+ employees)

Use Cases and Deployment Scope

As a UX Research Program Manager supporting a small team in a large tech company, I’ve found Dovetail to be an indispensable tool for housing our research repository. It has transformed the way we organize, store, and share insights. One standout feature is the ability for stakeholders to ask questions and interact with research documents using AI. They no longer need to comb through lengthy studies to get the insights they need. Dovetail has increased the visibility of UX research across our org. Product managers, designers, and other stakeholders can now quickly self-serve insights, which reduces bottlenecks for researchers and speeds up decision-making. It has become our single source of truth for customer insights.

Pros

  • 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.

Cons

  • 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..

Return on Investment

  • Time savings due to self-serve capabilities.
  • Accelerates evidence-based decision making.
  • Cost savings from preventing redundant research studies.

Usability

Other Software Used

dscout, Knit, Asana, Alida CXM

Great Repository tool for Research Teams

Incentivized
Jose MonteroView profile
Head of Customer Research, Payments in Marketing at Amazon (10,001+ employees)

Use Cases and Deployment Scope

I use Dovetail as our primary repository for our research artifacts, which include recorded video and written documents. Dovetail addresses our need to access a large library of research insights across several products in my organization. Dovetail also addresses the need for researchers to have a central place of storage for unstructured data such as video files from interviews, and easy transcription of these files.

Pros

  • Auto-transcription of videos in an easy and fast way
  • Smart search functionality to make it easy to find what you are looking for
  • Ability to create folders and organize our materials in an intuitive way for our stakeholders to find what they need

Cons

  • Although I think the smart search features which were launched within the last year or so are great, I would like to see more genAI-driven features. For example, auto-summarization of documents uploaded would be great.
  • I think DT could make it a little easier for researchers to know how to categorize their files. When I want to create a 'space' for a new project I choose 'Project' but others on my team choose other categories, so there is no consistency in how we understand the same thing.
  • DT needs to make their tagging process easier to do. It takes my researchers a long time to set up tagging across all files. I think this is something where genAI can help.

Return on Investment

  • Improved productivity due to ease and speed of creating and maintaining repository
  • Ease of access for stakeholders, which address our objective to make research from our team accessible to our organization

Usability

Other Software Used

Displayr

Unlocking Customer Insight at Scale with Dovetail

Incentivized
Alaine Burns LaycockView profile
Head of Customer Insight in Research & Development at Dext (201-500 employees)

Use Cases and Deployment Scope

Dovetail has been adopted organically across teams as the go-to space for capturing, organising, and sharing customer feedback. What started with Research team members rolling it out, has grown into our wider R&D org, enableding us to effectively democratise the ability to deliver to high-quality research.

Business Problems It Solves

Teams can access insights easily resulting in higher impact on product and customer.

Customer feedback used to live in disconnected places — documents, Slack threads, private notes. Dovetail allows us to bring those insights together in one structured, searchable place.

Missed patterns and duplication with organic, decentralised research happening, it was easy to lose track of what others had learned. Dovetail helps surface what’s already known and lets us build on existing insight instead of starting from scratch.

Increasingly, it’s becoming a shared memory of customer insights, helping us make better, faster decisions grounded in real experiences.

Pros

  • Dovetail supports that grassroots research culture without requiring a full-time research ops function.
  • Searching past research is easy with Dovetail
  • Easily analysis recordings with customers
  • Quickly generate shareable insights that are liked back to the source material
  • Auto generates reels for each insight

Cons

  • The canvas could be improved to match Fig Jam; we replicate boards in both tools

Return on Investment

  • Decreased analysis time by half
  • Increasing the velocity and quality of research enables better decision-making

Usability

Alternatives Considered

Condens, Great Question, Sprig and Maze

Other Software Used

Great Question, User Interviews

Robust research storage tools with great AI capabilities

Incentivized
Lada GorlenkoView profile
Sr Director, Research in Research & Development at MURAL (201-500 employees)

Use Cases and Deployment Scope

We've been using Dovetail for the last three years as our research data repository, especially for recordings. It solves a couple of problems for us:

1. Tapping into the previous organizational knowledge. Whenever Product or Design have a research question on a topic that is not brand-new, we encourage them to check Dovetail for what we already collectively know on the topic. The addition of AI search summary has been super helpful to create an overview of what we already know, so that we can avoid duplication of efforts and focus new research on new questions.

2. Knowing where to go. It took us a while to get a broader team into a habit of thinking about Dovetail as a good source of research truth, but most PMs and Designers know where to start now. It reduces the number of trivial pings and allows product teams to explore on their own.

Pros

  • Summaries of sessions and topic summaries across projects. The addition of AI summaries has been hugely helpful, and the quality of these summaries are pretty good. Lots of gained efficiency!
  • Transcripts. Dovetail is not the best speech-to-text recognition software, but is a good one. Both our team and our customer base are global, and the quality of recognizing accents has become better over the years.

Cons

  • Tagging vs highlighting is confusing; I am still not sure what the right use case for each and why I need both. As a result, different people use them interchangeably and it doesn't help consistency.
  • It's either a product gap or my knowledge gap (in which case, it's not obvious how to do it), but I wish Dovetail could easily absorb information from other platforms we use during research projects. For example, we use Mural extensively for session notes, synthesis, and Slack for discussion / debrief. I wish I could collect all information about a session from multiple sources in one Dovetail page, so that Dovetail could give me a summary of a session across all data sources.
  • When I compile insights, I feel I have to jump a lot between Notes and Insights, and usually put multiple instances of Dovetail as separate browser windows. Would be great to have multiple Dovetail panes within one browser tab, to work on a compilation in one pane while review notes in another.
  • Selecting large amount of text is clunky. I wish I could mark the bookends of text I want to select instead of dragging the cursor to select what I need.

Return on Investment

  • I mentioned it before: Duplication of research effort is minimized and we can move faster by tapping into existing collective knowledge.

Usability

Alternatives Considered

EnjoyHQ

Other Software Used

User Interviews, UserTesting

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