Morning Briefing Dashboard Design

Morning Briefing Overview

Morning Briefing Dashboard Design is an OpenDesign desktop-app example for a personal work briefing. Its opening state uses the greeting “早安，Eli” and the date “2026 年 5 月 6 日 · 星期三” to establish a specific morning context before any task is read.

The composition moves from a centered greeting to a five-card summary strip, then into three large numbered priority items. That order makes the first screen answer two practical questions quickly: what kind of day is this, and which work deserves attention first?

The visual language is restrained but not monochrome. Each summary card uses a different pale tint and accent color, while the priority cards preserve a white field and rely on large numerals, source labels, and status text for differentiation. This keeps category changes visible without turning every notification into an alert.

01

Greeting And Date

A named greeting and weekday date frame the briefing as a daily starting point.

02

Summary Strip

Five category cards expose separate work signals before the detailed source sections.

03

Priority Queue

Three numbered items convert mixed notifications into a visible proposed order.

Opening Signals

The summary strip shows “7 待办事项,” “3 待 Review,” “4 今日会议,” “12 @我的消息,” and “2 Agent 完成.” These are distinct work categories rather than one combined productivity score, so a reader can separate pending tasks from reviews, meetings, mentions, and illustrative agent activity.

The large priority cards then name concrete work: “Review #1842 权限模型重构 PR,” “回复 Yuki 在《Onboarding Flow v3》文档里的评论,” and “Sentry P0 报错量上升，需要排查 auth-service.” The numbered ordering supplies a proposed attention sequence, while the source and waiting-time labels explain why each item appears in the briefing.

Prioritized Morning Work

This dashboard is suited to a person who needs to orient across engineering, product, and communication work without losing the identity of each source. It does not flatten every item into a generic inbox. GitHub remains GitHub, Notion remains Notion, and Sentry retains the incident language that makes its item urgent.

The cards also show a useful tradeoff. A compact top-level briefing reduces the need to search across tools, but its counts cannot explain their own inclusion rules. “12 @我的消息” indicates a volume of mentions, while “Sentry P0 报错量上升” provides a qualitative warning and “新增 23 例” provides a visible sample figure. The design presents these signals together without claiming that they share one measurement system.

Context Beyond The Queue

The lower workspace expands the briefing instead of repeating the top cards. The Notion view lists “Q3 产品路线图,” “工程规范 — Code Review 指南,” and “竞品分析 — Clerk vs WorkOS,” each with a short excerpt and editor timing. This gives document recency and subject matter enough separation for a reader to choose where to continue.

The Jira panel uses a different visual grammar: “PLAT-Sprint 8,” an 18/25 story-point label, a 72% progress bar, and issue rows such as “PLAT-412 SSO 集成 — SAML callback.” The progress bar is useful for a quick sprint read, but the named issues prevent the percentage from becoming the only interpretation of project state.

Source-Grouped Workspace Flow

The workspace flow proceeds from personal priorities into source-specific sections. After the opening queue, the design presents GitHub, Sentry, Vercel, Linear, Slack, Gmail, Notion, Jira, Trello, Drive, Feishu, GitLab, and Feishu Documents as recognizable blocks. The sequence creates a long vertical scan, but each block preserves its own vocabulary and data shape.

This ordering supports a top-down attention sequence or scanning for a named source. The cost is length: thirteen panels continue below the three priorities, so the design is a vertical workspace to browse rather than a compact single-screen dashboard. The source keeps a fixed 1440-wide viewport and does not provide responsive rearrangement; a narrow-screen implementation would need additional layout work.

Different Data Shapes

The design does not force every service into the same component. Vercel shows branches and build states such as “building…” and “fail.” Linear shows a sprint percentage plus “完成 9,” “进行中 4,” and “待办 2.” Slack shows channel names and mentions, while Gmail shows sender initials, subjects, snippets, and times.

That variation is important because it lets the reader understand what kind of follow-up an item implies. A build state suggests checking deployment context, a sprint row suggests reviewing planned work, and a message snippet suggests deciding whether to reply. The tradeoff is that comparison across services is qualitative rather than numerically uniform.

Documents And Messages

The document sections use excerpts to show why an item matters. Feishu Documents includes “5 月用户增长方案” with channel budget percentages and “技术架构评审 — 微服务拆分” with an architectural recommendation. Feishu IM instead shows two short group messages, one about a landing page draft and another about a CI pipeline talk.

These blocks expose enough subject and recency to recall the surrounding conversation. A local script adds an Open in link to each source panel and wraps the three priority cards in outbound anchors. The links point to authored service or sample-item destinations; they do not demonstrate authenticated connectors, verified destination records, or synchronized data. The visual excerpt remains the basis for triage within this static briefing.

Illustrative Data And Capability Boundary

The artifact is a design example with illustrative names, figures, document contents, and product claims. The visible “7,” “23,” “18/25,” and “72%” values demonstrate hierarchy and data presentation; they are not verified performance, live service counts, or measured outcomes.

The source renders fixed sample content and injects outbound links, without connector requests or live updates. Its counts are not fully reconciled: Gmail's badge says four but shows three rows, Trello's Done badge says four but shows two cards, and GitHub's five-open badge includes merged rows. A production briefing would need count definitions, consistent statuses, freshness rules, permission checks, and verified destinations before those signals could be treated as live.

The footer reads “Open Orbit” and “auto-generated · 06:42,” giving the page a generated-briefing endpoint. It is a visual closing state rather than evidence of a working generation pipeline. This boundary keeps the artifact valuable as a desktop workspace study without overstating what the captured design can do.