What to put on a business dashboard: the measures that matter, by type of business
How to choose the five to nine measures for a business dashboard, with example measures for trades, services, retail, hospitality and manufacturing, and how to define each one.
By Logic NI5 min read
Most dashboard projects go wrong before any chart is drawn, at the point where someone has to decide what to show. Too many measures and nobody looks. The wrong ones and the dashboard is ignored. This guide gives you a method for choosing, example measures for different kinds of business and a way to define each one so people trust it. For the wider picture, read the complete guide to business dashboards.
Start with decisions
For every candidate measure, ask: what would I do differently if this number moved?
- "Quotes sent but not yet answered" can trigger follow-up calls. Keep it.
- "Total website visits" rarely changes a decision on its own. Probably leave it off the main screen.
- "Invoices more than 30 days overdue" triggers chasing. Keep it.
This one question removes most of the clutter. If you can't name the action, it is trivia, however easy it is to chart.
Leading and lagging measures
| Kind | What it tells you | Examples |
|---|---|---|
| Leading | What is about to happen, so you can act | Enquiries received, quotes sent, bookings made, stock running low, jobs scheduled |
| Lagging | What has already happened | Revenue, profit, invoices paid, jobs completed |
A dashboard of only lagging measures tells you how last month went. Adding a few leading ones tells you how next month is shaping up, which is when you can still change it.
How many measures
Five to nine. A dashboard that needs scrolling or a guide to read has too many. If you genuinely need more, build a second view for a different job or role, not a longer first screen.
Example measures by type of business
These are starting points to adapt, not a standard list.
Trades and job-based businesses
| Measure | Why it matters | Usually comes from |
|---|---|---|
| Quotes sent and still waiting | Follow-up opportunities | Quoting or CRM system |
| Jobs booked this week and next | Capacity and cash flow | Job or diary system |
| Jobs by status (booked, in progress, finished, invoiced) | Where work is stuck | Job system |
| Invoices overdue | Cash chasing | Accounting software |
| Repeat customers | Health of your reputation | CRM or accounting |
Professional services
| Measure | Why it matters | Usually comes from |
|---|---|---|
| Enquiries to proposals to wins | Where the pipeline leaks | CRM |
| Work done but not yet billed | Cash you've earned but not invoiced | Time or job records and accounting |
| Invoices outstanding by age | Cash chasing | Accounting software |
| Capacity for the next few weeks | Whether you can take new work | Diary or resource plan |
Retail and ecommerce
| Measure | Why it matters | Usually comes from |
|---|---|---|
| Orders and order value | Trading health | Shop platform |
| Average order value | Pricing and bundling | Shop platform |
| Stock running low | Avoid lost sales | Stock system |
| Returns | Product or description problems | Shop platform |
| Visitors turning into buyers | Website effectiveness | Analytics and shop platform |
Hospitality and leisure
| Measure | Why it matters | Usually comes from |
|---|---|---|
| Bookings against capacity | Fill rate | Booking system |
| No-shows and late cancellations | Lost revenue | Booking system |
| Busiest and quietest periods | Staffing and promotions | Booking or till system |
| Repeat guests | Loyalty | Booking or CRM |
Manufacturing and engineering
| Measure | Why it matters | Usually comes from |
|---|---|---|
| Orders in progress | Workload | Order or production system |
| On-time delivery | Customer satisfaction | Order system |
| Jobs waiting on materials or information | Bottlenecks | Production system |
| Materials running short | Avoid stoppages | Stock system |
Define each measure properly
The most common reason a dashboard is distrusted is that two people calculate the same number differently. For every measure write down:
| Item | Example for "overdue invoices" |
|---|---|
| How it is calculated | Total value of invoices past their due date and unpaid, excluding credit notes |
| Where it comes from | The accounting software, refreshed every night |
| Who owns it | The person responsible for credit control |
| What good looks like | Under an agreed share of monthly invoicing, with a flag above that |
Settle awkward definitions up front: what counts as a "customer", when a job is "complete", whether figures include VAT and which date a sale belongs to. Five minutes of agreement here saves months of arguments later.
Show change, not just numbers
A number on its own says little. Show it against something: last week, last month, the same period last year or a target. Use colour only to mark exceptions, so that when something turns red, people notice.
What the evidence says
| What was found | Who found it | Read it with care |
|---|---|---|
| Of UK businesses that handle digital data, 72% analyse it | Department for Science, Innovation and Technology (DSIT), Business data use and productivity study wave 2, updated January 2026 | 3,796 businesses, fieldwork December 2024 to February 2025. Self-reported |
| Among businesses that analyse data, 47% reported more efficient processes or cost savings, against 14% of those that do not | DSIT, same study | An association, not proof. The report doesn't seek to establish cause |
| Serious errors were found in 91% of 55 operational spreadsheets across five field audits (1995 to 2000) | Raymond Panko, summary of spreadsheet audits | Counts errors "serious in the context of the spreadsheet's use". Thresholds varied, and the audits are older |
Measures are only as good as the data behind them. A hand-maintained spreadsheet behind a dashboard undermines it, which is why the data feed matters as much as the chart. See how to connect your business data to a dashboard.
A quick test for your list
Read your list aloud and check:
- Can I name an action for each measure?
- Are there between five and nine?
- Is there at least one leading measure?
- Does every measure have a definition and an owner?
- Would the person who does the work recognise these as their numbers?
If a measure fails, cut it. You can always add it later, and you'll be surprised how rarely you do.
Where Logic NI fits
We help you choose a small set of measures, define each one, connect the real data and build a dashboard your team can trust. See the business dashboard service and business systems, or talk to us about what yours would show.