Someone in your business spent six weeks building a dashboard. It launched with a demo, a few kind words and a link in the all-staff email. Three months later, the usage report shows four views, and two of them came from the person who built it. If that sounds familiar, the problem is rarely the charts. It is a gap in dashboard best practices, the habits that decide whether a report becomes part of how people work or just another tab nobody opens.
The most expensive dashboard is the one nobody uses. You pay for it in build hours, licences, maintenance and, worst of all, the decisions it never improved. In this guide we break down the real cost, the six reasons dashboards get ignored, and the dashboard best practices that bring them back to life. We also link to training options for teams in Sydney, Melbourne, Brisbane, Perth, Adelaide and Canberra.
Quick answer: The core dashboard best practices are to start with a decision, keep each page focused on a few key measures, make the data fast and trustworthy, name an owner, and track usage so that unused reports are either fixed or retired.
What an unused dashboard really costs
Build time is the cost everyone sees. The others hide in places that never appear on a single invoice, which is why unused reports survive for years. Here is where the money actually goes:
| Cost | Where it hides | Question to ask |
| Build time | Analyst hours that could have gone to higher-value work | “What did we stop doing to build this?” |
| Licences and capacity | Power BI licences and shared capacity used by reports nobody opens | “Who is actually using what we pay for?” |
| Refresh and maintenance | Scheduled refreshes, broken connections and urgent fixes | “Who fixes it when it breaks?” |
| Decision quality | Teams fall back on gut feel or old spreadsheets | “What are people using instead?” |
| Trust | Every ignored report makes the next one harder to sell | “Would anyone open the next one we build?” |
Notice that the largest costs are the missed decisions and the lost trust. Good dashboard best practices start by counting them.
Six reasons nobody opens your dashboard
- It was built for a request, not a decision. Someone asked for “a sales report”, so someone built one. Nobody asked what would change as a result.
- There is too much on one page. Twenty visuals force the viewer to hunt for the answer, and most people give up quickly.
- It is slow. A report that takes a long time to load teaches people to avoid it. Slow performance is often a data model problem, not a visual problem.
- People do not trust the numbers. One mismatch with a finance spreadsheet is enough to send everyone back to the spreadsheet.
- The format does not suit the audience. An executive wants three numbers on a phone. An analyst wants to drill into detail. One layout rarely serves both.
- Nobody owns it after launch. Without an owner, nobody updates it, answers questions or retires it when it is no longer useful.
Most of these failures trace back to how the work was requested in the first place, which we explore in the report builder trap. It is also why learning Power BI is not enough to become a data analyst.
Dashboard best practices that make people actually use it
These dashboard best practices look simple on paper, but they are rarely applied together. Use them as a checklist before you publish anything.
- Write the decision at the top. Every dashboard should finish this sentence: “This helps [who] decide [what].” If you cannot write it, do not build it yet.
- Limit each page to a handful of key measures. Fewer, better visuals beat a wall of charts. If you need to explain why a visual is there, remove it.
- Put the answer first. Place headline KPIs at the top, supporting detail below and filters in a consistent spot, so people always know where to look.
- Design for the real device. Check the report on a laptop and on a phone. Executives often read it on the move.
- Build on a clean data model. A tidy structure makes reports faster and numbers consistent. Microsoft’s star schema guidance is a good starting point, and our Advanced Power BI Modelling course goes much deeper.
- Show freshness and definitions. Display a last-refreshed date and a short definition for each key measure. This answers the “can I trust this?” question before it is asked.
- Onboard people. A fifteen-minute walkthrough, plus using the dashboard in a regular meeting, does more for adoption than any launch email.
- Name an owner and a review date. Someone should be responsible for questions, fixes and the eventual decision to retire it.
Teams that apply these dashboard best practices consistently tend to spend less time rebuilding reports and more time acting on what the data says.
How to measure whether anyone uses your dashboard
You cannot fix what you do not measure. The Power BI service includes a usage metrics report that shows who opens a report and how often. Reviewing it is one of the most overlooked dashboard best practices. Watch these signals:
- Unique viewers: are the people you built it for actually opening it?
- Views per week: is usage steady, growing or fading after launch?
- Return visits: do people come back, or look once and leave?
- Popular and ignored pages: which pages earn attention, and which can be cut?
Set a simple rule. If usage is low after 60 days, talk to three intended users, then fix, merge or retire the report. Retiring an unused dashboard is a success, not a failure. It frees time, reduces clutter and makes the remaining reports easier to trust.
Dashboard best practices for trust, speed and governance
Adoption is not only about layout. Three less glamorous areas decide whether people keep coming back.
Trust: one definition for every measure
If “revenue” means one thing in sales and another in finance, no dashboard will survive the argument. Agree on definitions once, document them and build them into a shared dataset. Power BI’s endorsement features can also flag which datasets are the trusted ones.
Speed: fewer visuals, smarter models
Remove unused columns, keep visuals to what is needed and aim for a model that does the heavy lifting. A fast report feels reliable, and a slow one feels broken.
Governance: simple rules beat clever ones
Organise workspaces by team or purpose, use clear naming, and control who can edit what. Governance sounds dull, but it is one of the dashboard best practices that protects everything else.
The skills behind dashboard best practices
Good intentions are not enough. Building dashboards people use takes technical skill, plus the judgement to know what to leave out. A practical learning path looks like this:
- SQL for clean data. SQL for Data Analysis – Beginner lets you shape data before it reaches the report.
- Power BI foundations. Power BI Fundamentals covers building reports and dashboards from scratch.
- Data modelling. Advanced Power BI Modelling teaches the structures behind fast, trustworthy reports.
- The Microsoft PL-300 course prepares you for the Power BI Data Analyst Associate exam.
- Broader foundations. CompTIA Data+, the BCS Data Analysis and Modelling certificate and Azure Data Fundamentals build the context around your reports.
For the bigger picture on how analytics skills turn into business value, read our data analytics skills guide, then compare every option on our data analytics courses page.
Where teams are fixing their dashboards: Australia by city
Wherever you are, the same dashboard best practices apply, but the context differs. Here are typical sectors that rely on reporting in each city, with local training pages:
- Sydney: finance, government and technology. See data analytics courses in Sydney.
- Melbourne: healthcare, retail, education and state government. See data analytics courses in Melbourne.
- Brisbane: infrastructure, resources and a growing tech scene. See data analytics courses in Brisbane.
- Perth: mining, energy and resources, where operational dashboards drive daily decisions. See data analytics courses in Perth.
- Adelaide: defence, health and advanced manufacturing. See data analytics courses in Adelaide.
- Canberra: federal agencies and policy-driven reporting. See data analytics courses in Canberra.
Every course is also available through live, instructor-led online classes, so your location is never a barrier. Compare options on our locations page.
A 30-day dashboard rescue plan
Use this plan to apply the dashboard best practices above to a report you already have:
- Week 1: Measure. Pull usage data and list your five least-used reports. Pick one to rescue.
- Week 2: Listen. Speak to three intended users. Ask what decision they make each week and what they use instead.
- Week 3: Rebuild. Redesign one page around a single decision. Cut every visual that does not support it.
- Week 4: Relaunch. Run a fifteen-minute walkthrough, name an owner, set a review date and check usage again in 30 days.
Frequently asked questions
What are the most important dashboard best practices?
Start with a clear decision, keep each page focused, build on a clean data model, show when data was last refreshed, and track usage. If you apply only one, make it the first: a dashboard without a decision behind it will not be used.
How many visuals should a dashboard have?
There is no magic number. Start with as few as possible and add a visual only if it helps answer the decision the page supports. If you need to explain why a chart is there, it probably does not belong.
How do I know if my Power BI dashboard is being used?
Use the usage metrics report in the Power BI service to see viewers, views and trends over time. Combine it with short conversations with the people the report was built for.
Should I delete dashboards nobody uses?
Usually, yes, but check first. Ask the owner and a few intended users, then archive or retire the report if nobody needs it. Fewer, better reports build more trust than a long list of unused ones.
Are Power BI courses available online in Australia?
Yes. Our courses run through live online classrooms across Australia, with in-person options in selected cities.
Build dashboards your business will actually use
Applying dashboard best practices is a skill you can learn, and it is one of the fastest ways to make your analytics work visible. Explore our data analytics courses, or speak to a course advisor on 1300 649 299. Start by retiring one report nobody uses and rebuilding another around a real decision.