How do I build a KPI dashboard?

Planning your dashboard

Define the audience. A CEO dashboard differs from a sales leader's dashboard. Executive dashboards should be strategic and high-level; departmental dashboards can be more operational and granular.

Select metrics carefully. Group KPIs into categories: financial performance (revenue, margins, cash), operational efficiency (revenue per employee, OpEx ratio), growth (customer acquisition, ARR growth), and health indicators (churn, NPS, debtor days). Refer to your strategic plan to ensure alignment.

Design principles

1. Hierarchy of information. Place the most important metrics at the top. A common pattern is a "headline row" showing 4-6 key numbers (revenue, EBITDA, cash, headcount, ARR) with sparklines showing the trend.

2. Consistent visual language. Use RAG (red/amber/green) status indicators consistently. Define what each colour means — for example, green means within 5% of target, amber means 5-15% off, red means more than 15% off.

3. Show trends, not just snapshots. A single number without context is nearly useless. Show at least 6-12 months of history so viewers can see the direction of travel.

4. Keep it clean. Avoid 3D charts, excessive gridlines, and decorative elements. Use a consistent colour palette and clear labels. Every element on the dashboard should earn its place.

Data architecture

Connect to source systems. Pull actuals from your accounting system (Xero, QuickBooks, Sage), CRM data from Salesforce or HubSpot, and HR data from your HRIS. Avoid manual data entry wherever possible.

Set refresh cadences. Financial KPIs typically refresh monthly after close. Cash position and sales pipeline may refresh daily or weekly. Define and communicate the refresh schedule so stakeholders know how current the data is.

Ensure data quality. A dashboard is only as good as its underlying data. Implement validation checks and flag any data quality issues prominently rather than hiding them.

Tools and implementation

You can build dashboards in spreadsheets (Excel/Google Sheets), BI tools (Power BI, Looker, Metabase), or purpose-built FP&A platforms like Grove FP that combine planning and reporting in one place. The best choice depends on your team's skills, data complexity, and budget.

Iteration

Launch with a minimum viable dashboard and iterate. Gather feedback after two or three reporting cycles — which metrics do people actually look at? Which ones generate questions? Remove unused metrics and refine the ones that drive discussion.