Introducing Dovetail’s Fall 2025 Launch: AI Agents, Dashboards, Docs, integrations, and more

You can now deploy AI Agents (closed beta) in Dovetail to perform a range of actions like sending monthly Voice of Customer summaries, flagging issues, or posting early-warning alerts into Slack, Teams, or your email inbox. AI Dashboards turn qualitative data like transcripts and support tickets into quantitative insights, visualized on charts. You can now create and save Segments in the contacts database to track and compare different groups of customers across Dovetail. AI Docs enables you and your team to generate product requirements, research reports, product strategy docs, and more automatically, and our AI Chat feature is now generally available.

We have also launched five new integrations. You can now enrich customer feedback in Dovetail with Salesforce account metadata, sync and analyze sales call transcripts from Gong, export reports generated in Outset into your Dovetail workspace, and create and link Linear issues directly from Dovetail. Plus, you can now turn customer feedback directly into interactive and authentic AI prototypes and code with our new Alloy integration. 

The Software Development Lifecycle (SDLC) is stuck in an old, linear, waterfall way of working that’s slow and rigid. An ecosystem of design, productivity, collaboration, issue tracking, and workflow management tools exist to solve the problem of finite development capacity.

But when writing code and shipping solutions can happen as fast as you’re willing to spend tokens on agentic coding tools, the bottleneck is no longer building. It’s knowing what to build. And that’s hard.

The first bottleneck is understanding customer and market needs. Product managers and leaders are slowed down by scattered user feedback, manual analysis, and siloed knowledge. The second bottleneck is what comes next: making designs, creating plans, writing documents, meeting stakeholders, and updating tickets that sit in backlogs while code races ahead. Building is fast. Understanding is slow. And the tools we use to connect them are outdated.

Today that gap closes. Dovetail centralizes all of your qualitative customer feedback—app reviews, sales calls, support tickets, continuous discovery projects, CSAT surveys—and turns that into structured and actionable intelligence that gives you and your team the tools to create interactive prototypes and comprehensive prompts for AI coding tools.

Go straight from feedback to code.

You can do that today, with Dovetail. Last week, we announced our partnership with Alloy, the AI prototyping tool. This integration turns qualitative customer feedback (like sales calls) into interactive and authentic prototypes that present working solutions for product managers to review. Integrations with coding platforms are coming soon—completing the loop from signal to code.

This is the new software development lifecycle: raw customer feedback is translated into intelligence, intelligence becomes prototypes and code, humans review solutions, and the loop continues as new customer feedback arrives. All of it powered by the Dovetail customer intelligence platform.

The system of record for customer feedback

Our new Gong integration (open beta) syncs sales call transcripts to Dovetail, extracts key themes, and surfaces them in Channels and Dashboards, where you can visualize themes and insights longitudinally over time. For example, product managers exploring competitors could jump straight into these surfaced insights, grounded in customer quotes from demos and sales calls, and instantly spin up a strategy doc for sprint planning.

Our new Salesforce integration (GA, Business and Enterprise) enables customers to enrich data in Dovetail with commercial context. Dovetail admins with Salesforce admin access can connect the integration in-product via Settings, then sync Salesforce data with the Dovetail contact database. This allows users to slice and dice customer feedback based on Salesforce metadata including revenue, account tier, and opportunity stage. If you’re a product manager, for example, you could instantly see which feature requests are coming from high-value enterprise accounts versus free users—allowing you to prioritize work by business impact.

With our Outset integration (GA, all plans), you can now export reports generated in Outset into your Dovetail workspace. Reports from Outset’s AI-moderated interviews and usability tests flow directly into Dovetail, where they sit alongside your other feedback sources—tickets, surveys, calls, and app reviews. A designer, for example, could use AI Chat in Dovetail to get instant answers and strategic insights from hundreds of AI-moderated interviews, then triangulate with sales or support data to validate demand before kicking off design work.

Feedback → intelligence

With Segments (GA, Enterprise-only), users can create and save segments directly within the contacts database. These segments can then be used to compare how different customer groups feel and behave by filtering feedback using commercial metadata like revenue, plan, region, or account manager. You can visualize these segments on Dashboards or within Channels to see how themes trend across audiences. For example, product managers might see “integration speed” mentioned twice as often by enterprise customers, while designers notice “dashboard layout” climbing among new users—clear signals that guide roadmap and UX priorities.

AI Dashboards (Enterprise-only, coming soon) allow you to quantify the qualitative, visualizing sentiment, competitor mentions, and feature themes, with longitudinal views that track how customer experience evolves over time. We’ve launched with five widgets to start: Theme, Sentiment, NPS, CSAT, and Keywords. A design lead can monitor onboarding satisfaction with each release, or a customer success manager might track the frequency of specific keywords, such as mentions of competitors, to identify the risk of churn.

Go deeper with AI Chat

With AI Chat and search (GA, all customers), you can perform global searches in natural language and ask Dovetail anything, like “What’s driving churn in enterprise accounts?”, and get an answer backed by customer evidence. Chat automatically scopes itself to the dataset in front of you and cites every source.

You can also ask Chat to create AI Docs for you based on responses. It’s like ChatPRD but based on real customer feedback instead of vibes. A product manager might turn a conversation based on real support tickets related to “integration issues in Tier 1 accounts” into a product requirements draft, complete with embedded citations to source material. CX leaders can generate Voice of Customer reports from the same flow. At Dovetail we recently used this feature to craft our product positioning and messaging based on real research.

Customer feedback → code

AI Agents (closed beta) can now be created in Dovetail to perform several actions defined by you. You can deploy them to send monthly reports, track specific keywords, topics, or metrics, or set up alerts for emerging issues. A design lead could configure an agent to watch for repeated usability complaints in a specific workflow and automatically trigger a daily digest for the design team—so recurring issues are automatically flagged.

With our Linear integration (GA), users can create or link issues directly from channels or projects. Add Dovetail insights or data to an existing project in Linear or you can create a new project or issue in Linear from a Dovetail data point, theme summary, insight, or highlight. A product manager might spot a recurring complaint and convert it into a Linear ticket instantly in order to address the issue before it becomes a problem.

Meanwhile, with AI Docs (open beta), users can now generate rich and evidence-backed product requirements documents, sales recaps, voice of customer reports, go-to-market strategies, and research reports complete with citations and embedded quotes and highlights. Now you can turn real, specific customer feedback into product plans and strategy docs in seconds.

Finally, our Alloy integration bridges customer feedback and product development. Chat with Dovetail to drill down on specific user interviews, support tickets, or sales calls. Once you zero in on a fix or opportunity, simply ask Chat to make a prototype, and in a few minutes, you’ll have a true-to-life interactive AI prototype to bring into sprint meetings, stand-ups, estimation sessions, and design workshops.

Designed for speed and action

Together, these capabilities ensure that customer signals don’t just accumulate—they flow continuously into analysis, understanding, and action. Dovetail has been built to turn customer feedback into forward motion and seamlessly integrates into the product development stack your team uses.

On an eligible plan? Head to settings and turn on beta features today. Enterprise-only features? This is the perfect time to take Dovetail to the next level. Talk to our team to unlock Salesforce enrichment, Segments, Dashboards, and more. Want early access to AI Agents? Join the waitlist and be among the first to try them.

AI has already transformed how fast we can build products. Now, leveraging customer feedback to figure out what to build moves just as fast. Our Alloy partnership is already live. Integrations with coding platforms are next, and with them, the direct connection from customer feedback to code will be complete.

Watch our Fall Launch keynote for the deep dive into how all of these new features work. Haven’t tried Dovetail yet? Talk to our team to discover how you can unlock always-on customer intelligence for your team, or dive in and get started for free.