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Dashboard That Works: A Step-by-Step Guide for Startups in 2025
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本文分享了构建实用仪表盘的十个关键步骤,基于团队为各种企业构建仪表盘的经验。文章强调了明确目标、组建团队、定义用户、选择关键指标、准备数据、草拟布局、获取用户反馈、撰写设计简报、寻找合适的构建者以及持续改进的重要性。这些步骤旨在帮助创建清晰、高效的仪表盘,以驱动团队决策并节省时间。

🎯 **明确目标是关键**:首先,确定仪表盘要解决的问题和需要回答的关键问题。明确目标有助于避免仪表盘设计中的常见错误,如界面混乱、指标无意义等。同时,选择合适的视觉呈现方式来回答这些问题。

🤝 **组建负责任的团队**:确定仪表盘的拥有者、构建者和使用者。避免试图为“所有人”构建仪表盘,因为这样的工具往往对谁都没有帮助。团队成员应包括了解业务目标、数据和视觉语言的专家。

👨‍💼 **定义使用场景和用户**:详细说明仪表盘将解决的业务问题,并明确用户角色。思考每个用户每天需要查看哪些信息,以及他们需要快速掌握的关键内容。考虑用户的使用习惯和便利性。

📊 **确定关键指标**:选择3-5个能够真正推动业务发展的关键指标,并对它们进行优先级排序。避免展示所有数据,而应侧重于有意义的指标。例如,SaaS公司的活跃用户、CAC、LTV和流失率等。

⚙️ **准备数据**:确保数据的存储位置、完整性和时效性。明确数据更新的方式以及数据质量的负责人。避免手动输入,采用自动化方式保持仪表盘的活力。

How to plan a dashboard people will use: 10 Key Steps

Dashboard user interface elements in light and dark modes

Our team has built dashboards for a wide range of businesses, and we’ve picked up a few key insights along the way.

If you’re thinking about creating a dashboard, here’s some advice that might save you time, money, and a bit of sanity.

If you want a solid dashboard, treat its design as seriously as you would an airplane’s cockpit. In business — just like in flight — you need to clearly see where you’re heading and how you’re doing before it’s too late to correct course.

A truly functional dashboard is always the result of collaboration. It brings together goals, data, people, and logic. And it’s best built by a team that understands all four — analysts, designers, and developers — who can speak your business language.

Cascade: UI Elements in Light Mode

Templates and AI tools can help in spots, but they don’t feel your context or see every nuance. In the wrong hands, they can turn a helpful tool into a harmful one. You might track the wrong things and make the wrong calls.

So, if your dashboard is meant for real business — not just fun — bring in specialists who can connect business goals, data, and visual language.

Admin analytical dashboard for the fitness app

Step 1. Set precise goals

Nailing the right goals and questions is half the battle. The other half is choosing visualizations that answer those questions.

Start by organizing the requirements gathering process for yourself, developers, and designers. Use whatever tool you like (Miro, Trello, FigJam, Google Sheets, Notion, ClickUp, Google Forms).

Create boards, cards, or lists; each one should hold the questions you must answer before handing off tasks. Those answers will help you avoid the biggest dashboard sins: cluttered UI, meaningless metrics, and unused data.

A dashboard should work for the business, not just look pretty.
Analytics dashboard for the NexusX decentralized trading platform based on AI

Step 2. Assemble a responsible team

Decide who owns the dashboard, who builds it, and who will use it.

Don’t try to make a dashboard “for everyone.”

A tool for everyone usually helps no one.

Dashboard Design for a Smart Finance Platform

Step 3. Define use cases and users

Spell out the business tasks and map your users. Ask yourself three questions:

It’s not just about roles; habits and convenience matter too.
Monex — Smart Analytics Dashboard

Step 4. Identify key metrics

Choose 3–5 metrics that truly move your business. Rank them — from top-level to detailed. A bad dashboard shows everything, creating the illusion of control.

Fewer but meaningful metrics are better.

Examples:

Cascade: UI Elements in Dark Mode

Step 5. Prepare your data

No good data, no good dashboard. Ask:

Skip manual entry. Automation keeps dashboards alive.
HR Dashboard UI — Clear Metrics, Human-Centered Design

Step 6. Sketch a rough layout

Anything goes — from a napkin sketch to a Figma wireframe. Think through:

Ugly is fine — the point is to test structure and ideas.
Illustration from Lukatsky’s blog

Step 7. Get user feedback

Show the prototype to real users. Don’t ask, “Is it pretty?” Instead, ask:

Better to hear “I don’t get it” during drafts than after launch.
Monex — Smart Financial Widgets

Step 8. Write a solid brief for designers

Designers aren’t mind-readers. If you don’t say what matters, they’ll decide for you. Include:

FinGuard — Dashboard for Smarter Financial Management

Step 9. Find the right builders

We’d love to say, “Hire us,” but it’s your business and vision. Check portfolios on Dribbble, Behance, and even LinkedIn — talent hides everywhere.

Judge prospects on:

Pretty charts matter less than knowing why they’re there.

A dashboard isn’t a landing page; usability comes first.

If their process sounds fuzzy now, it won’t sharpen later.

Real skill is making complexity feel easy.

A portfolio helps you assess the designer’s style, sense of trends, fit for your type of business, and overall skill and originality.

Most of all, pick the team that digs into your goals.

That’s where the genuine “wow” comes from.

Minot — AI-Driven Task Management Platform

Step 10. Launch. Watch. Improve.

A dashboard is a living system, not a one-shot landing page. After launch, watch:

No dashboard is perfect on day one. Iterate — improvements pay off.

Conclusion

A great dashboard isn’t just a stack of charts. It shapes the team’s thinking. It directs attention, builds habits, speeds decisions, and saves time instead of stealing it.

Your dashboard becomes priceless when:

If that’s the kind of dashboard you’re aiming for, we hope this helps you get started.

Minot — AI-Driven Task Management Platform

As a bonus, here’s a list of AI tools that can be useful when creating business dashboards:

    Polymer SearchZoho AnalyticsTableauDomoSisenseThoughtSpotLooker StudioKlipfolio

Dashboard That Works: A Step-by-Step Guide for Startups in 2025 was originally published in UX Planet on Medium, where people are continuing the conversation by highlighting and responding to this story.

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仪表盘设计 数据可视化 用户体验 关键指标 数据分析
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