Dovetail: AI Agents for Customer Experience Teams
Which tool turns scattered support tickets, calls, and surveys into a single searchable layer? Dovetail does: a AI Agents tool that processes raw customer feedback into cited, structured context for Customer Experience roles. Researchers running large-scale quantitative surveys should consider a dedicated survey platform instead.
- United States 45%
- United Kingdom 8.9%
- Germany 5.3%
- India 5%
- Other 35.9%
What Dovetail Does
Dovetail processes calls, tickets, surveys, and interviews into a shared context layer that agents and Chat can query without re-running analysis on each new conversation.
Dovetail connects more than 30 sources, including Gong, Salesforce Service Cloud, Qualtrics, Google Play Store, and G2 reviews, so feedback that normally sits in separate tools lands in one system of record. Dovetail runs pre-inference once across calls, tickets, surveys, and interviews, so the same data is not reprocessed on every question. Chat, Agents, and Dashboards then expose that context with answers cited back to source evidence.
Main Features
Customer Context Layer
Dovetail turns every sales call, support ticket, and user interview into a structured context base that agents and people query directly. Source connectors feed raw interactions in automatically rather than requiring manual uploads. Because the layer is shared, a support rep and a product manager draw on the same evidence instead of maintaining separate spreadsheets of quotes.
Multimodal Data Processing
Dovetail automatically processes millions of pieces of raw feedback, including text, audio, and video, into structured customer context. This runs once per data point rather than per query, so the same ticket or call transcript is not re-analyzed each time a new question is asked. The result is consistent, already-cited answers instead of analysis rebuilt from scratch.
AI Agents
Dovetail’s Agents automate recurring work such as monitoring incoming signals and routing the next action to the right person. Because agents operate on the same pre-processed context layer, they act on current data rather than a stale export. This removes a manual triage step from the usual process of scanning feeds by hand.
Enterprise Security & Compliance
Dovetail’s Gold plan adds AI-redaction to strip sensitive data from text, audio, and video, plus choice of LLM provider, custom data retention, and SCIM provisioning synced to an identity provider. Dovetail also supports SOC 2 Type II, ISO 27001, and ISO 42001 compliance. This matters for enterprises that cannot route customer data through an unredacted pipeline.
Use Cases
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Voice of Customer
Dovetail’s Voice of Customer workflow connects tickets, surveys, and reviews into one intelligence layer for the Customer Experience audience. Each item is tagged and cited back to its source. This makes it possible to trace an issue from raw feedback to the specific account that raised it.
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Product and Design
Dovetail gives Product Managers roadmap evidence pulled from every customer touchpoint rather than isolated interviews. Citations trace each recommendation back to source feedback. Prioritization decisions stay tied to documented evidence instead of opinion.
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Revenue Intelligence
Dovetail turns sales and customer success conversations into shared intelligence for Sales & CS, including Digital Twins for role-playing calls. Call transcripts and CRM data feed the same context layer. Objection patterns become visible before they show up in churn or lost-deal data.
Best For / Not For
Dovetail is built for roles that need to act on large volumes of unstructured customer feedback rather than run structured surveys.
Dovetail fits Customer Experience, Product Manager, Researcher, and Sales & CS roles named in its own solutions pages.
Dovetail charges per-credit usage at $0.15 each on top of the base plan price, so costs scale with data volume and heavy Chat, Agents, or Digital Twins use, which makes budgeting harder for organizations with unpredictable feedback spikes.
Pricing
Dovetail’s entry tier, Bronze, costs $4800 per year billed annually for up to 5 users, with a 60-day free trial and usage credits billed separately at $0.15 each.
| Plan | Bronze |
|---|---|
| Price | $4800 / year, billed annually |
| Included | Up to 5 users |
| Free trial | 60 days |
Silver requires 25 or more users and Gold requires 100 or more, both priced on request rather than listed publicly. Credits cost $0.15 each across all three tiers, so Chat, Agents, and Digital Twins usage adds to the base annual fee rather than being bundled flat into it.
Pricing checked 2026-11-11.
Quick Comparison
goose is Dovetail’s main alternative for automating multi-step workflows around processed data rather than ingesting raw customer feedback. goose focuses on extensible developer-driven automation workflows run locally or self-hosted. Dovetail wins on dedicated feedback connectors like Gong, Qualtrics, and G2, plus cited Chat answers built for non-technical use. Choose goose if a team needs a flexible automation framework built around existing scripts. Choose Dovetail if the job is turning support tickets, surveys, and sales calls into shared, cited customer context.
Verdict
Dovetail processes feedback from more than 30 sources into cited customer context starting at $4800 a year for up to 5 users. Its named audiences are Customer Experience, Product Manager, Researcher, and Sales & CS, not researchers running structured quantitative surveys.
