Executive dashboards
Executive dashboard examples
The examples
Each dashboard, and the question it answers
Each of these is a Mammoth template, captured as it renders on the sample dataset it ships with, so every figure on them is illustrative rather than a business result. Each carries exactly four numbers, which is the discipline the format is for — a scorecard that lists everything has quietly become a report.
Example 01
Financial KPI Scorecard
How is the business doing, in four numbers?
Revenue, gross margin, operating margin and operating income, with operating income followed over time rather than stated once. The finance row of an executive view: enough to know whether to ask a second question, and deliberately not enough to answer it.
What is on it
- Operating income over time
- Gross margin
- Margin across units
- Revenue by region
- Where operating cost concentrates
Your data needsDashboard
- a revenue or money column
- a category (~8 values)

Sample data — illustrative figures, not business results. Cropped; the dashboard continues below. Example 02
Sales KPI Scorecard
Is the book getting healthier, or just busier?
Deal size, cycle length and forecast confidence, with reps set above and below the line. What an executive needs from sales is not the pipeline total — it is whether the shape of the book is improving, which a distribution and a cycle length say and a single number cannot.
What is on it
- Who is above and below the line
- Distribution of deal size
- Confidence across the funnel
- Cycle length by region
- Booked against weighted, by source
Your data needsDashboard
- a revenue or money column
- a category (~3 values)

Sample data — illustrative figures, not business results. Cropped; the dashboard continues below. Example 03
HR Scorecard
Is the organisation holding together?
Tenure, engagement, performance and salary cost on one screen, with absence and training resolved to where they concentrate. The row an executive team is most often flying blind on, because people data rarely gets a dashboard at all.
What is on it
- Salary cost of who we hired
- Engagement
- Performance across departments
- Tenure spread by level
- Where absence concentrates
- Where training hours go
Your data needsDashboard
- a revenue or money column
- a category (~7 values)

Sample data — illustrative figures, not business results. Cropped; the dashboard continues below. Example 04
Project Portfolio
Which programmes are running over, and by how much?
Every programme on one page with budget set against actual cost and the variance stated, plus planned effort against actual. Portfolio altitude rather than task altitude — it answers which programme needs attention, not what anyone is doing this week.
What is on it
- Budget by portfolio
- Over and under budget
- Planned against actual effort
- Budget against spend
- Effort spread by workstream
Your data needsDashboard
- a revenue or money column
- a category (~4 values)

Sample data — illustrative figures, not business results. Cropped; the dashboard continues below.
Other formats
When the answer is not a dashboard
An executive audience reads more documents than dashboards, and these are the same numbers reshaped rather than rebuilt. The summary and the board pack come from the same 288-row P&L as the finance scorecard above; the programme review comes from the same 486-row portfolio as the portfolio board.

Sample data — illustrative figures, not business results. Executive Summary
Can the quarter be read rather than presented?
The quarter in one read: what the numbers did, where, and against plan.
Finance · Document

Sample data — illustrative figures, not business results. Board Pack
What goes in front of the board?
The quarter for a board audience: revenue, margin, plan and what is next.
Finance · Presentation

Sample data — illustrative figures, not business results. Programme Review Deck
And what does the steering committee get?
Every programme for a steering audience: progress, effort, cost and risk.
Project · Presentation
Design notes
What makes an executive dashboard worth opening
Four things the examples above have in common. They matter more than which chart you pick.
Four numbers, not forty
Every one of these carries exactly four KPI tiles, and that is the constraint doing the work. An executive view earns its place by being the thing you can read in ten seconds before deciding whether to ask a second question — the moment it becomes comprehensive it has become a report — and the written summary and board pack on this page are where that job belongs.
One board per function, not one board for everything
These are four dashboards on four different datasets — a 288-row P&L, 900 rows of pipeline, 640 people records and 486 portfolio rows. A template binds to one prepared dataset, so a single screen spanning all four functions would mean flattening them into one table first and losing the grain each question needs. Four boards at one altitude is the honest shape.
Every one points at an exception
A headline number tells an executive nothing to do. All four of these close on where to look instead: where operating cost concentrates, who is above and below the line, where absence concentrates, and which programmes are over and under budget. That chart is the reason the dashboard gets opened twice.
The spread behind the headline
An average describes nobody, and at executive altitude averages are all anyone gets. Three of the four carry a distribution rather than a mean — deal size, tenure by level, effort by workstream — because the shape is where the outlier lives, and the outlier is usually the reason the number moved.
From example to live dashboard
Pretty is easy. Current and true is the hard part.
Any of these can be drawn in a slide. What makes one worth keeping is the five steps underneath it, and they are the same five whichever example you start from.
- 01
Connect the source
The dashboard reads the system, not an export somebody saved to their desktop. 100+ tested connectors, plus anything with a REST API.
- 02
Prepare it once
Cleaning, joining and reshaping are recorded as steps you can read, change and re-run — not a formula buried three sheets deep.
- 03
Check it before anyone sees it
Data checks run with the refresh and flag the rows that fail, so a broken upstream file shows up as an alert rather than as a wrong number in a meeting.
- 04
Put it on a schedule
Refresh on a schedule and the dashboard stays current on its own. Starter schedules daily runs; Pro adds hourly refresh and event triggers.
- 05
Publish it and send the link
Public, password-protected or sign-in only. Every sharing mode is available on every plan, including the free one.
Sharing
Everyone can see it.
Nobody pays to look.
Most dashboard tools charge for every person who opens one, which is why so many dashboards end up as a screenshot pasted into a message. Mammoth charges for the people who build. Viewers are unlimited and free on every plan, including the free one.
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From $5,000/mo
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Questions people ask
What should be on an executive dashboard?
Should it be one dashboard or several?
What is the difference between an executive dashboard and a board pack?
Where does the data come from?
Can the board see it without a licence?
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