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Dovetail | Customer Intelligence Platform

Video · Light

Design System Inspiration

Dovetail — extracted via DESIGN.md

Customer Support · Customer feedback analysis

corporate clean dark-theme typographic animated elegant sticky navigation dark mode toggle scroll-triggered animations split-screen hero

Typography

Inter

Heading

Aa Aa Aa Aa

JetBrains Mono

Body

Aa Aa Aa Aa

Color palette

TL;DR

Dovetail operates on a stark, dark-mode-first monochrome foundation (`#0a0a0a` and `#141414`) punctuated by a single vibrant blue accent (`#0044ff`). The visual tension relies entirely on typography: the clean, utilitarian geometry of Inter clashes deliberately with massive, pixelated display cuts of PP Mondwest. Depth is achieved not through shadows, but through translucent white borders (`rgba(255, 255, 255, 0.08)`) and subtle surface lightness variations. The system is flat, sharp, and heavily structural.

Target audience

The target audience is businesses and product teams seeking a robust customer intelligence platform to analyze user feedback and drive innovation.

Full tech stack

Contentful Facebook Pixel Gatsby Google Tag Manager Linkedin Insight Tag React Webpack

Analytics

Linkedin Insight Tag Google Tag Manager Facebook Pixel

Meta description

Dovetail is the leading customer intelligence platform. Assemble. Analyze. Act. Turn feedback into real-time insights that drive innovation and growth.

Brand Voice

Confident, pragmatic, and outcome-driven, focusing on speed and evidence over intuition.

Positioning

Dovetail is an AI-native customer intelligence platform. It helps product, research, and customer-facing teams turn fragmented qualitative feedback into verified, actionable insights at scale.

Voice principles

  • Direct: Short, punchy sentences that get straight to the point (e.g., "Faster decisions. Less guesswork.").
  • Evidence-based: Focuses on concrete facts, data, and measurable outcomes rather than vague promises.
  • Modern: Uses conversational tech phrasing (e.g., "vibes", "chat with your data") while maintaining enterprise credibility.
  • Action-oriented: Emphasizes speed, automation, and moving from discovery to delivery.

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