KPIs your Power BI needs in the executive dashboard

An executive dashboard exists for a single purpose: to shorten the time between "something changed" and "something was decided". When it turns into a decorative wall, opened in the monthly meeting and closed right after, the project has failed, however visually impressive it may be.

The filter before the KPIs

Before choosing indicators, apply three questions:

1. Who consumes the panel and how often? A CEO daily is different from a board quarterly.
2. What is the window for action? A metric with no possible action is noise, not a KPI.
3. What happens when the indicator turns red? If there is no response protocol, the indicator is informational, not operational.

The 8 KPIs that hold up an executive panel

1. Recurring revenue (or equivalent)

For SaaS, monthly or annual recurring revenue (MRR or ARR). For services, contracted revenue for the next 90 days. For industry, the order backlog. The point is to have predictability about what lies ahead, not just the month’s billing, which is already in the past by the time it appears. Linked decision: adjust hiring and investment when forecast revenue falls below plan.

2. Operating margin by business unit

A consolidated margin hides the units that bleed. Show margin by segment or business unit, always compared with the previous month and the year to date. Common pitfall: using "net profit" when what matters for a fast decision is operating margin. Linked decision: review price, mix or cost in any unit that stays below its target margin for two months in a row.

3. Revenue concentration (10 largest clients or products)

The percentage of revenue that comes from the 10 largest clients or products. Agree with the board on an acceptable concentration limit. Above it, you have a strategic risk that most of the financial report does not show. Linked decision: launch a commercial plan for new clients when concentration exceeds that limit.

4. Sales funnel: stage and speed

Do not just show "leads generated". Show how long it takes for a lead to move from stage 1 to 5 and where the funnel stalls. A lead stuck 40 days in "proposal sent" is almost always a silent death. Linked decision: chase a reply or close any proposal that has been stalled longer than the average cycle.

5. NPS and churn

NPS (Net Promoter Score) on its own is theatre: always pair it with real churn, the rate of clients who do not renew. Clients who score 9 on the recommendation question and do not renew are telling you something important about your after-sales service. Linked decision: get after-sales in touch with the accounts that did not renew or gave a low score, before the next renewal.

6. Operating cycle time

For industry: lead time per product. For services: average delivery time. For logistics: order-to-invoice time. It is the indicator that most reflects operational efficiency and almost never appears in traditional financial dashboards. Linked decision: tackle the step where most of the waiting builds up when the cycle exceeds its target.

7. Burn rate and cash runway in months

How long the company survives on its current cash, considering the average burn of the last 3 months. For profitable companies, replace it with operating cash generated year to date and the number of months of fixed costs the cash covers. In both cases, show a projection and not just the balance. Linked decision: cut or defer spending when cash covers fewer months than the minimum agreed with the board.

8. A KPI unique to your business

Every business has a proprietary indicator that defines its competitiveness. For a carrier, it might be average fleet occupancy. For a retailer, sales per square metre. Including this eighth custom KPI is what turns a generic dashboard into a command tool. Linked decision: agree with the board on which action this indicator triggers when it misses its target.

Visualization pitfalls that kill adoption

• More than 12 elements on the same screen: the executive cannot find the number they are looking for and leaves the page.
• Automatic red for every drop: a drop in costs or in defaults is good news. Set the colour by the direction of the indicator, not by the sign of the number.
• Pie chart for more than 3 categories: it is almost always a bar-chart case.
• No time comparison: an isolated number rarely informs. Comparing with the same period last year or with the previous month is almost mandatory.
• Filters that vanish between visits: the Power BI Service keeps each viewer’s filters by default. Check that the persistent filters option has not been turned off, and create personal bookmarks for the combinations the executive uses every week.

Governance: what nobody shows in the case study

Executive dashboards fail more from governance than from technique. Three minimum controls:

• Indicator dictionary: each KPI has a page with its source, DAX calculation and functional owner.
• Last update visible: always show the date and time of the last data refresh. Without it, the executive does not know whether they are seeing data from 1 hour or 2 weeks ago.
• Quarterly review: indicators age. The KPI that made sense at launch may no longer make sense in year 3.

An executive dashboard is not a report. It is a decision interface, and every decision needs context, source and a response protocol.