Dovetail

Customer intelligence workspace that turns scattered feedback into decision-ready evidence

Intermediate API
Screenshot of Dovetail, Customer intelligence workspace that turns scattered feedback into decision-ready evidence

What is Dovetail?

Dovetail is a customer intelligence platform that consolidates calls, tickets, surveys and research into one workspace where AI transcribes sessions, surfaces patterns, builds customer models and drafts sourced reports. Suited to research, product and design teams at organizations with large volumes of qualitative feedback.

Dovetail is a customer intelligence platform built around a simple premise: teams should stop guessing about their customers. It assembles feedback from calls, tickets, surveys, app reviews, sales conversations and research sessions into a single workspace, then uses AI to find patterns, transcribe sessions and produce write-ups linked back to their sources. The homepage positions it as a context layer for an entire organization, so product, design, research, sales and support all work from the same evolving picture of the customer. The feature set is organized around four products. Digital Twins are evidence-based models of customers and segments that you can question in real time to test assumptions. Agents run on a schedule, on a trigger or on demand, monitoring what changes and proposing next steps. Channels analyze feedback at scale and help stack-rank ideas by what the team can act on immediately. Docs draft PRDs, reports, sales briefs and executive summaries from workspace data with citations, so a document never floats free of the evidence behind it. Supporting tools include plain-language chat with traceable answers, automatic transcription of calls and interviews, dashboards tracking sentiment and themes, multilingual translation of feedback, and keyword plus semantic search. In practice, a researcher uploads recordings or connects feedback sources, lets transcription and tagging run, then queries the workspace or asks a twin what a segment thinks about a specific topic. Outputs can be exported as clips, reports or briefs. Published customer stories name Itaú Unibanco, Atlassian, Canva, Breville, CNH, Okta and SmartRecruiters, and a 2025 Forrester study cited on the homepage claims 30 weekly hours saved per user and 66 percent faster shipping. It suits organizations with substantial qualitative data and multiple teams that need to share it. Governance is a stated strength: SOC 2 Type II, ISO 27001, GDPR compliance, HIPAA readiness, PII redaction, data residency in the US, Europe or Australia, SSO and audit logs. Buyers should expect a platform-scale commitment rather than a lightweight tool. Pricing is not published on the homepage.

How do you use Dovetail?

  1. 1Book a demo and scope your use case
    Start by requesting a demo so the team can map your feedback sources and the teams that will share the workspace before any setup work begins.
    Dovetail — Book a demo and scope your use case
  2. 2Review the Digital Twins capability
    Read how Digital Twins are built from calls, tickets, surveys and research, since the quality of these models depends on which sources you connect.
    Dovetail — Review the Digital Twins capability
  3. 3Connect and analyze feedback in Channels
    Bring support tickets, app reviews and sales calls into Channels, then stack-rank the ideas that surface so you know what the team can act on first.
    Dovetail — Connect and analyze feedback in Channels
  4. 4Ask questions in plain language
    Use Chat to query your first-party data and get traceable answers, then turn any answer into a doc, an agent or a report without leaving the conversation.
    Dovetail — Ask questions in plain language
  5. 5Set up monitoring with Agents
    Configure agents to run on a schedule, on a trigger or on demand so they watch for changes, write up findings and propose next steps.
  6. 6Publish documents and dashboards
    Generate PRDs, reports and executive summaries from workspace data, and track sentiment, volume and themes in dashboards for ongoing visibility.

Pros and cons

Pros

  • Centralizes qualitative feedback from calls, tickets, surveys, reviews and research into one searchable workspaceAI
  • Digital Twins and chat answers are grounded in first-party data and traceable back to sourcesAI
  • Docs and reports are drafted with citations, reducing manual synthesis workAI
  • Strong governance story: SOC 2 Type II, ISO 27001, GDPR, HIPAA-ready, PII redaction and regional data residencyAI
  • Automatic multilingual translation exposes patterns across markets that would otherwise be missedAI

Cons

  • No pricing shown on the homepage, so budget planning requires a sales conversationAI
  • Positioned as an organization-wide context layer, which implies a heavier rollout than a single-team toolAI
  • Value depends on volume and quality of feedback data; thin datasets will limit what agents and twins can inferAI
  • Most efficiency claims come from vendor-cited customer stories and a sponsored Forrester studyAI

How much does Dovetail cost?

Features

Digital Twins for questioning evidence-based customer models, Agents that run on schedules or triggers, Channels for analyzing feedback at scale, Docs that draft cited PRDs and reports, chat with traceable answers, automatic transcription, real-time dashboards, multilingual translation and semantic search.

Learn more

Frequently asked questions about Dovetail

  • Does Dovetail have an API?
    Yes, Dovetail offers an API.
  • How do you use Dovetail?
    The walkthrough on this page covers 6 steps: 1. Book a demo and scope your use case 2. Review the Digital Twins capability 3. Connect and analyze feedback in Channels 4. Ask questions in plain language 5. Set up monitoring with Agents 6. Publish documents and dashboards.
  • What platforms does Dovetail support?
    Dovetail is available on Web App.
  • What are the limitations of Dovetail?
    No pricing shown on the homepage, so budget planning requires a sales conversation. Positioned as an organization-wide context layer, which implies a heavier rollout than a single-team tool. Value depends on volume and quality of feedback data; thin datasets will limit what agents and twins can infer.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

PaidFree Trial