Executive Dashboard Planning Guide

How to plan a dashboard that actually helps leadership make decisions, not just look at numbers. Perth, Melbourne, Sydney and Brisbane.

Best for: CEOs, managing directors, senior leadership Practical guide for business decision-makers

Who this is for

CEOs, managing directors, and senior leaders who want a dashboard that supports decision-making.

Question this answers

How should an executive dashboard be different from an operational one, and what should it show?

What you'll leave with

  • What senior leaders actually need from a dashboard
  • A three-layer dashboard structure
  • How to choose executive-level metrics
  • Common executive dashboard mistakes

What leaders actually need

Executive dashboards fail when they're designed by data teams for data teams. The CEO doesn't need to see how many tickets were closed or how many rows were processed. They need to see whether the business is healthy, growing, and on track.

The purpose of an executive dashboard is to answer three questions:

  1. Are we on track? (against targets and plan)
  2. Where do I need to pay attention? (problems and opportunities)
  3. What's changed? (trends and anomalies)

The three layers of an executive dashboard

Layer 1: Headline status (what the CEO sees first). Three to five top-level metrics, each with a clear red/amber/green status. Revenue, pipeline, customer health, cash position, growth rate. This fits in the top third of the screen.

Layer 2: Supporting context (what explains the headlines). Trends, comparisons, and breakdowns that add context. Revenue by segment, pipeline by stage, customer satisfaction trend. This fills the middle section.

Layer 3: Drill-down (what answers "why?"). Click on any metric to see the detail behind it. Not visible on the main screen but accessible with one click. This is where operational data lives.

Choosing executive metrics

The right metrics depend on your business model, but most executive dashboards need some version of:

  • Revenue metric: Revenue, MRR, bookings; whatever measures income for your business model
  • Growth metric: Month-over-month or year-over-year growth rate
  • Pipeline/forecast metric: What's coming? Are targets achievable?
  • Customer health metric: Churn, NPS, renewal rate; are customers staying?
  • Financial health metric: Cash position, runway, profitability

That's five metrics. Resist the urge to add more. If the leadership team needs specific operational metrics, those belong on department dashboards, not the executive one.

Design principles

  • Targets on every metric: A number without a target is meaningless. "$1.2M revenue" means nothing. "$1.2M / $1.5M target" tells a story.
  • Trend lines, not just numbers: Is this number going up or down? How does it compare to last quarter?
  • Colour for status only: Green = on track. Amber = attention needed. Red = problem. Don't use colour decoratively.
  • Mobile-friendly: Executives check dashboards from their phones. Design for small screens too.
  • Commentary space: Some dashboards include a brief text note explaining the current state. "Revenue below target due to delayed Project X, expected to close by month end."

Data and refresh considerations

  • Refresh frequency: Daily is sufficient for most executive dashboards. Real-time adds complexity without adding value at this level.
  • Data quality: Executives lose trust fast when numbers don't match other reports. Ensure the dashboard uses the same data sources as financial reporting.
  • Historical comparison: Show current period vs same period last year. Seasonality matters.
  • Consistent definitions: "Revenue" means the same thing on the dashboard as in the board report. Define and document metric calculations.

Common mistakes

Mistakes that stop leaders using the dashboard

  • Too many metrics (more than 8 on the main screen)
  • Activity metrics instead of outcome metrics

    "Demos given" is an activity. "Pipeline generated" is an outcome.

  • No targets or benchmarks on any metrics
  • Numbers without context (just a value, no trend or comparison)
  • Data that doesn't match other reports

    Nothing kills dashboard adoption faster than conflicting numbers.

  • Designed by data analysts without executive input

Key takeaways

  • Executive dashboards should show outcomes (revenue, growth, customer health) not activities (tickets closed, calls made)
  • Three to five top-level metrics is ideal. Executives don't need 20 KPIs.
  • Every metric needs context: target, trend, and what "good" looks like
  • Drill-down capability matters. Leaders need to go from summary to detail when something looks off.
  • Refresh daily for most businesses (not real-time; executives don't need second-by-second updates).
DashboardsExecutiveDataLeadership

Meet the person

Written by the person who does the work

This guide comes from real projects. If it raises a question about your own system, you can ask the founder directly.

HELLO PEOPLE designs, builds and looks after AI, software, app and data solutions for Australian businesses, with senior expertise on every project and a scope agreed before work starts. For software, that means starting with how your business runs, not with the code.

Since 2007, HELLO PEOPLE has delivered more than 100 projects from Perth for small and medium businesses across Australia: custom software and apps, system integrations, data migrations, reporting and dashboards, and AI that works inside the systems a business already runs.

I lead every engagement myself. I trained in accounting before moving into IT, hold accounting and IT professional qualifications and an MBA, and bring more than 20 years of experience across sales, service delivery, inventory and compliance. I am also a PhD candidate in AI at Curtin University, researching retrieval-augmented generation (RAG), so the technology is always judged by what it does for the business.

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