Dovetail is a customer intelligence platform positioned to turn feedback from every source into decision-ready evidence that teams and agents can act on. Its process is summarized as "gather, analyze, act," with the goal of turning feedback into real-time insights that drive innovation and growth.
Purpose Used for customer intelligence and feedback analysis, helping teams act based on evidence rather than guesswork. It can handle various types of feedback such as support tickets, app reviews, and sales calls, build current, evidence-based models of customers and segments, and enable real-time conversations with the model, asking questions and testing ideas.
Key Capabilities
- Agents: Dovetail Agents can run on schedules, triggers, or on demand, monitoring changes, organizing findings, and suggesting next steps.
- Large-scale analysis: Analyze feedback from tickets to app reviews, sales calls, and more, prioritize ideas, and decide what the team can act on immediately.
- Document generation: Turn workspace data into PRDs, reports, sales briefs, and executive summaries, with evidence-based content, linked sources, and delivery before being asked.
- Customer context layer: A workspace connects all feedback sources, and teams and agents work from the same continuously updated customer understanding; ask questions in natural language to get traceable answers that can be directly turned into documents, agents, or reports.
- Projects: Transcribe every customer call, interview, and market research session, surfacing highlights, clips, and patterns.
- Real-time monitoring: Observe changes in sentiment, volume, and topics across feedback sources to detect emerging trends early.
- Knowledge retention and synchronization: One team's findings can be used by later teams and remain up to date with new feedback.
- Translation and search: Built-in AI automatically translates all feedback, revealing cross-market patterns; supports fast keyword and semantic search (RAG).
How to Use Users can gather data into a unified workspace by connecting feedback sources in the team's work environment. They can ask questions in natural language, get traceable answers from first-party data, and turn them into documents, agents, or reports. For calls and interviews, Projects can be used to automatically transcribe and extract key points. Agents can run on schedules, triggers, or on demand to continuously monitor and provide recommendations. The platform supports fine-grained access control, enterprise SSO, automatic provisioning, and user-scoped read-only access.
Use Cases Suitable for scenarios where product, design, research, sales, customer experience, and other teams need to centrally manage and analyze customer feedback, generate research reports or product documents, monitor changes in market and customer sentiment, gain cross-market insights, and improve efficiency from discovery to delivery. User reviews in the materials mention efficiency gains, extracting more value from existing customer data, faster access to insights and decision-making, and more.
Limitations andCompliance The platform provides security, privacy, and governance: data is not used to train models; SOC 2 Type II, ISO 27001 certified, GDPR compliant, and HIPAA-ready for all workspaces; supports PII redaction in text, audio, and video, sets retention periods, with data residency options in the United States, Europe, or Australia; provides audit and integration activity logs (including MCP and API calls) and workspace-level controls.
Other information The materials do not provide details such as specific pricing, free trials, or feature differences between versions, and are not currently available.
