App Editor’s pick

Product analytics dashboard

Generate an information-dense dashboard that still feels calm, legible, and useful on smaller screens.

Reviewed by the Vibe Coding Editorial Team · Updated 2026-08-26

Build prompt

Copy as-is, then replace the variables

Reviewed 2026-08-26

Create a responsive product analytics dashboard for [PRODUCT TYPE]. The primary user is [USER ROLE], and their most important daily decision is [DECISION].

Build the interface around that decision instead of filling the screen with unrelated metrics.

Include:
- A collapsible sidebar with Overview, Acquisition, Activation, Retention, and Settings.
- A top bar with workspace switcher, date range, comparison period, and export action.
- Four KPI summaries for [KPI 1], [KPI 2], [KPI 3], and [KPI 4], each showing current value, change, and a short interpretation.
- One primary trend visualization and one supporting breakdown visualization using realistic sample data.
- A sortable table for [CORE ENTITY] with search, filters, pagination, and a row detail interaction.
- A small insight panel that explains the most meaningful change in plain language.

Interaction and states:
- Filters must visibly change the displayed sample data.
- Add useful loading skeletons, an empty state, and a recoverable error state.
- On mobile, prioritize KPIs and the main trend; move secondary controls into a clear drawer.
- Provide keyboard-visible focus and descriptive labels for chart controls.

Visual direction: [VISUAL DIRECTION]. Use color to communicate status and data, not as decoration. Avoid a wall of identical cards. Use spacing, dividers, typography, and alignment to establish hierarchy.

Finish by checking that totals, percentages, trends, chart labels, and table values are internally consistent.

How to use this prompt

Customize the brief before generating

01
Replace every variable
Use your real project details for product type, user role, decision and the remaining placeholders.
02
Remove unnecessary scope
Delete pages, states, integrations, or visual requirements that do not support the first useful version.
03
Add hard constraints
Specify the framework, existing design system, content, data source, accessibility target, and anything the agent must preserve.
04
Test the outcome
Judge the result against this target: A working analytics interface with realistic data, filters, charts, drill-down behavior, and complete UI states.

Expected outcome

A working analytics interface with realistic data, filters, charts, drill-down behavior, and complete UI states.

Why it works

Anchors the dashboard to a real decision rather than a list of fashionable charts.
Requests consistent data and working filters, which exposes shallow mockups quickly.
Specifies mobile prioritization instead of asking the desktop grid to merely shrink.

Variables to customize

[PRODUCT TYPE]Example: subscription-based writing assistant

[USER ROLE]Example: growth product manager

[DECISION]Example: which onboarding step needs improvement

[KPI 1–4]Example: Activation, WAU, D30 retention, Paid conversion

[CORE ENTITY]Example: acquisition channel

[VISUAL DIRECTION]Example: editorial, neutral, high-density but calm

Method sources

Traceable, not copied blindly

This prompt is an original editorial adaptation. The references below informed its structure and review criteria; their text is not presented as our own.

Awesome GitHub Copilot

GitHub · 38k+ GitHub stars · MIT

Used for prompt structure, explicit inputs, output contracts, guardrails, and validation steps.

Prompt Engineering Guide

DAIR.AI · 70k+ GitHub stars · MIT

Used for task decomposition, prompt chaining, and evaluation patterns.

v0 Text Prompting Guide

Vercel · Official product documentation · Reference only

Used for the component-first, specific, incremental workflow behind these build prompts.

Product analytics dashboard FAQ

Questions before you generate

Use these answers to adapt the prompt to your product, choose a compatible builder, and set realistic expectations for the first result.

What does the Product analytics dashboard prompt create?

A working analytics interface with realistic data, filters, charts, drill-down behavior, and complete UI states.

What should I customize before using this prompt?

Replace the bracketed variables with details from your project. This prompt asks for product type, user role, decision, kpi 1–4, core entity, visual direction. Remove sections you do not need and add any real technical, brand, content, or compliance constraints.

Which AI coding tools can use this prompt?

This brief is designed to work well with Vibe Coding, v0, Bolt, Replit. Capabilities differ between tools, so review framework, backend, authentication, and deployment requirements before assuming every feature will be implemented.

Is this prompt suitable for beginners?

The prompt is rated intermediate and a first visible result typically takes 3–5 min. You still need to inspect the generated interface, test interactions, and verify any security-sensitive or production behavior.

Can I edit the prompt before it generates anything?

Yes. The Use in Vibe Coding button places the full prompt into the workspace input as an editable draft. Review and change it first; generation starts only after you press Enter or the send button.

How was this AI coding prompt reviewed?

The brief is an original editorial adaptation reviewed for a clear outcome, useful constraints, complete interface states, responsive behavior, and accessibility. Its method references include Awesome GitHub Copilot, Prompt Engineering Guide, v0 Text Prompting Guide.

Ready to build