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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:

  1. Can I name an action for each measure?
  2. Are there between five and nine?
  3. Is there at least one leading measure?
  4. Does every measure have a definition and an owner?
  5. 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.

FAQs

Common questions

What should I put on a business dashboard?

Start with the decisions you make, then choose five to nine measures that inform them, mixing leading measures such as quotes sent or bookings made with lagging ones such as revenue and invoices paid. Leave off anything where you couldn't name what you'd do if it changed.

How many measures should a dashboard have?

Five to nine on the main screen. More than that and people stop reading it. If you need more, create a separate view for a different role or job.

What is the difference between leading and lagging measures?

Leading measures tell you what is about to happen, such as enquiries and bookings. Lagging measures tell you what already happened, such as revenue and completed jobs. A good dashboard has both.

What KPIs should a small business track?

It depends on the business, but a good set usually covers enquiries and quotes, work in progress, cash owed to you and capacity. The examples in this guide are starting points for trades, services, retail, hospitality and manufacturing.

How do I stop people disagreeing about the numbers?

Define each measure in writing: how it is calculated, where the data comes from, who owns it and what good looks like. Agree awkward definitions, such as what counts as a customer, before building anything.

Should a dashboard show targets?

Yes. A number on its own says little. Show each measure against last period or a target, and use colour only for exceptions so problems stand out.

Sources

Every figure in this article comes from the sources below. Where a study measured something narrower than a headline suggests, the article says so.

  1. Department for Science, Innovation and Technology, Business data use and productivity study (wave 2): statistical report · Updated 28 January 2026. 3,796 UK businesses, fieldwork December 2024 to February 2025
  2. Raymond Panko, Audits of Operational Spreadsheets · Summary of field audits of working spreadsheets, 1995 to 2008

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