Good Power BI dashboard design puts the most important insight in the top-left corner, limits each section to three or four KPIs, uses interactive visuals (cross-filtering, drill-through, slicers) to reward exploration and reinforces colour meaning with shape and labels for accessibility. The biggest single design decision is choosing which decision your dashboard supports - then building everything backwards from that question. The five feature families below cover the design choices that separate dashboards that get used from dashboards that gather dust.
If you read nothing else, take this:
- Put your most important insight in the top-left corner - it's where readers (BI leads, analysts, business owners) look first.
- Limit each section to three or four KPIs; any more and the eye doesn't know where to land.
- Use colour to reinforce meaning, never as the sole signal - around 8% of men have a colour vision deficiency (Nature).
Good Power BI dashboard design is the difference between a dashboard that drives decisions and one that nobody opens twice. Power BI is the UK's dominant business intelligence platform - Microsoft has been a Gartner Magic Quadrant Leader for analytics and BI platforms for 18 consecutive years (Gartner, 2025) and the UK BI software market is worth around £1bn (IBISWorld, 2026). But the platform itself doesn't make the dashboard work; the design choices do.
UK government analysis shows 81% of UK businesses handle digital data, but only around 26% of them use that data to generate new insights (gov.uk, the data-to-insight gap is the obvious shape of the problem). Build a dashboard that fits how the user actually scans, decides and acts, and that gap closes. Build one that doesn't, and the platform investment never lands.
This guide walks through the five feature families that drive dashboard design decisions - interactive visuals, drill-through, slicers, KPIs and storytelling - plus accessibility, four UK case studies (Sainsbury's, the NHS, Metro Bank and the Isle of Wight Council) and the design mistakes that quietly kill adoption. Looking for inspiration first? See our gallery of Power BI dashboard examples by UK industry.
1. Interactive visuals for user engagement
Static reports are yesterday's news. Modern Power BI dashboards invite users to explore data actively, transforming passive viewers into engaged analysts. This interactivity is what turns a nice-looking chart into a genuinely useful business tool.
Cross-filtering and cross-highlighting
When you click on a data point in one visual, something interesting happens to the other visuals on your page. This behaviour comes in two flavours, and understanding the difference matters for your dashboard design.
Cross-filtering removes unrelated data entirely from other visuals. Click on "London" in a regional bar chart, and your product table updates to show only London sales. This is brilliant for focused, scenario-based analysis where you want to eliminate noise and concentrate on a specific segment.
Cross-highlighting keeps all data visible but dims the unrelated portions. The same click on "London" would highlight London's contribution while greying out other regions, letting you see both the specific data and its context within the whole. This works well when understanding proportions and relationships matters more than drilling into specifics.
Power BI applies sensible defaults (cross-filtering for line charts and maps, cross-highlighting for bar and column charts), but you can customise these through the Edit Interactions feature in the Format menu. The key is matching the interaction type to how your users actually analyse data.
Tooltips that add genuine value
Tooltips are the hover-over information boxes that appear when users point at data points. Done well, they provide context exactly when it's needed without cluttering your visual design.
Power BI offers three levels of tooltip sophistication. Default tooltips show the basic value and category automatically. Custom field tooltips let you add more measures to the tooltip, perhaps showing percentage of total alongside the actual figure. Report page tooltips are where things get really interesting, allowing you to create entire mini-dashboards that appear on hover, complete with charts, images and multiple metrics.
The principle of progressive disclosure applies here: show essential information by default, with more detail available through the tooltip. A well-designed tooltip answers the follow-up questions users are likely to ask when they see a data point, without requiring them to navigate away from the current view.
2. Drill-through for deeper insights
When users spot something interesting in your dashboard, what happens next? Drill-through functionality answers this question by providing a clear path from summary views to detailed analysis pages. It's one of the most powerful features for enabling genuine data exploration.
Drill-through versus drill-down: what's the difference?
These terms often cause confusion, but they serve fundamentally different purposes.
Drill-down operates within a single visual, moving through hierarchy levels. Think Year to Quarter to Month to Day. You're seeing the same data at different levels of granularity, staying within the same chart. It requires pre-defined hierarchies in your data model.
Drill-through navigates between report pages, taking you from a summary to a completely different page designed to show detailed information about your selected item. Click on a customer name in a summary table, and you land on a dedicated customer profile page showing their complete transaction history, contact details and engagement metrics.
The distinction matters because each serves different analytical workflows. Drill-down answers "what are the component parts of this number?" while drill-through answers "tell me everything about this specific entity."
Designing effective drill-through pages
A common mistake is creating drill-through destination pages that simply dump raw data into a table. That's a missed opportunity. Effective drill-through pages should provide genuine analytical value with multiple visualisations offering different perspectives on the selected entity.
For a customer drill-through page, you might include a summary card with key metrics, a timeline of their purchasing behaviour, a breakdown of products purchased and recent support interactions. This gives users a broader view without needing them to navigate to multiple places.
Setting up drill-through requires creating a destination page, adding a field to the Drillthrough filters well, and ensuring your visuals respond appropriately to that filter. A back button helps users return to their starting point, and maintaining consistent styling with your source pages creates a cohesive experience.
Recent Power BI updates have made drill-through more discoverable through modern visual tooltips, which now surface drill options directly in the tooltip rather than requiring users to right-click. This small change significantly improves adoption because users no longer need to know the feature exists to find it.
3. Filters and slicers to tailor the user experience
Filters are how users narrow down dashboards to show exactly what matters to them. Power BI offers multiple filtering mechanisms, and choosing the right approach significantly impacts usability.
Understanding the filter hierarchy
Power BI operates with three levels of filters that work together. Visual-level filters apply to a single chart or table. Page-level filters affect everything on the current page. Report-level filters apply across all pages in the entire report. These levels combine through intersection logic, so if you set a report-level filter for 2024, a page-level filter for the North region and a visual-level filter for Electronics, that visual shows only 2024 North region Electronics data.
This hierarchy enables powerful dashboard design patterns. You might set fiscal year selection at the report level so it persists across all pages, apply department filtering at the page level for focused analysis, and use visual-level filters to highlight specific product categories in individual charts.
Slicers versus the Filter pane
The choice between using slicers (visible controls on the canvas) and the Filter pane (a separate panel) comes down to importance and space. Slicers work brilliantly for filters users need constantly because they're immediately visible and encourage interaction. The Filter pane works better for secondary filters that users apply occasionally, keeping your canvas uncluttered.
A common industry rule of thumb: keep on-canvas slicers to a handful (roughly five to eight per page) before users get overwhelmed by the controls themselves. Microsoft doesn't mandate a number, but if you find yourself needing more, consider whether some filters could move to the Filter pane, or whether you need multiple focused pages rather than one overloaded page.
Slicer formatting matters more than you might think. For large value lists with dozens or hundreds of options, dropdown slicers with search functionality prevent overwhelming users. Hierarchy slicers that let users drill through levels like Region to Territory to District consolidate what would otherwise require multiple separate slicers. The goal is always to make filtering intuitive, not a chore.
Synchronised slicers across pages
Multi-page reports often need certain filters to persist as users navigate between pages. If someone selects "2024" on your summary page, they probably want that selection maintained when they move to the detail page. Power BI's Sync Slicers feature handles this automatically, linking slicers across pages so selections propagate without users needing to reselect on every page.
Need help with your dashboard? Whether you're starting from scratch or improving existing reports, our UK-based Power BI consultants can help you design dashboards that drive real decisions. Get in touch for a free consultation.
4. Success metrics with KPIs
A well-designed KPI should communicate performance status within three to six seconds. If users need to study a metric to understand whether it's good or bad, the design isn't working hard enough.
KPI visual versus card visual
Power BI offers two main approaches for displaying key metrics. The KPI visual is purpose-built for tracking progress toward specific goals, combining a current value with a target and an optional trend line. It's ideal for executive scorecards where you want to show whether you're hitting targets.
The newer Card visual provides more flexibility, allowing multiple metrics within a single visual and richer formatting options. Cards work well when you need contextual metrics together, like showing current sales alongside last year's figure and the budget, all in one compact display.
The choice depends on your emphasis. For goal tracking with clear targets, the KPI visual's built-in features make sense. For presenting multiple related metrics with sophisticated formatting, cards offer more design freedom.
Conditional formatting for instant comprehension
Conditional formatting transforms KPIs from passive numbers into active indicators. The classic traffic light pattern uses green for good performance, amber for caution and red for concern. When implemented effectively, users can scan a dashboard and instantly identify which areas need attention.
Power BI supports three approaches: value-based formatting where the data itself contains colour information, rule-based formatting where you define ranges (under 80% equals red, 80-100% equals amber, over 100% equals green) and measure-based formatting where DAX formulas calculate colours dynamically based on complex business rules.
When placing KPIs on your dashboard, position them in the top-left area where users naturally look first. Limit yourself to three or four key metrics per section because exceeding this dilutes their impact. Surround your KPIs with breakdown visuals that explain what's driving performance, helping users understand not just what the number is, but why it's at that level.
For a deeper dive into the report-vs-dashboard distinction (different design constraints apply to each), see our Power BI report vs dashboard Eaglepedia entry.
5. Tell a story with your data
The best dashboards don't just display data. They guide users through a narrative, leading them from headline insight to supporting detail to actionable conclusion. This storytelling approach transforms scattered metrics into coherent understanding.
Visual hierarchy and layout patterns
Eye-tracking research has identified two dominant patterns people use when scanning visual information. The F-pattern applies to information-dense pages: users read across the top, drop down, read a shorter second line, then scan down the left edge. The Z-pattern works for simpler layouts: users move from top-left to top-right, then diagonally to bottom-left and across to bottom-right.
Both patterns converge on the same principle: your most important insight belongs in the top-left corner. That's where every user looks first. Place secondary information along the left margin and supporting details in the remaining space. Size and colour reinforce this hierarchy; larger, brighter visuals signal importance, while smaller, neutral elements provide context without competing for attention.
Annotations that add meaning
A spike in your sales chart means nothing without context. Was it a seasonal effect? A successful campaign? An anomaly? Annotations bridge the gap between what the visual shows and what it means. A simple text box explaining "20% increase driven by Black Friday promotion" transforms raw data into business understanding.
Power BI's Smart Narrative feature takes this further by using AI to automatically generate text summaries of your visualisations. These narratives update dynamically as filters change, providing running commentary that helps users interpret what they're seeing. In 2026, this lives alongside Copilot in Power BI, which can summarise semantic models, explain DAX measures and draft narrative text for visuals - useful for first-draft commentary, but always read what Copilot writes before you ship it.
Bookmarks for guided analysis
For stakeholders who need guided journeys through your data, bookmarks capture specific dashboard states that you can string together into a narrative sequence. Create bookmarks for "Executive Summary," "Regional Breakdown," "Problem Areas," and "Recommendations," then link them to navigation buttons. Users can click through your story like a presentation while retaining the ability to explore further when questions arise.
This approach particularly suits board presentations and stakeholder reviews where you need to control the narrative flow while keeping the underlying data accessible for questions.
Designing for everyone
Around 8% of men experience some form of colour vision deficiency (Nature, peer-reviewed eye-care research), which means dashboards that rely on red and green to signal good and bad performance exclude a significant portion of your audience. Effective dashboard design uses colour to reinforce meaning rather than convey it alone, adding shapes, labels or icons alongside colour coding.
Accessibility extends beyond colour. Ensure your dashboards work with keyboard navigation for users who can't use a mouse. Add descriptive alt text to visualisations for screen reader users. Test colour contrast ratios to ensure text remains readable. Microsoft provides accessible colour themes specifically designed to meet these requirements without sacrificing visual appeal.
Ready to transform your data? Whether you need us to build dashboards for you or want to learn Power BI yourself through our training courses, we're here to help. If you are still comparing courses, our Power BI training buyer's guide lays out the options. Contact us to discuss your requirements.
How UK organisations are getting it right
These dashboard design principles aren't theoretical. UK organisations across sectors are using them to drive real business value.
NHS trusts: better patient outcomes through better dashboards
The NHS has become a significant Power BI adopter, with trusts using dashboards to improve patient care and operational efficiency. Maidstone and Tunbridge Wells NHS Trust migrated from static monthly Excel-era reports to interactive Power BI dashboards (including Power BI Premium for distributing complex data models and dynamic reports), giving clinical staff the ability to drill into performance data from any device (MTW Digital and Data Strategy, 2024). The design lesson is the same one that runs through this guide: dashboards that surface decisions where the decision is made get used; static monthly reports don't.
Across the wider NHS, trusts have built real-time bed-management dashboards mapping availability across their network so staff can see at a glance which facilities have capacity. The common design pattern: top-left KPI showing current utilisation, conditional formatting flagging units near capacity, drill-through to ward-level detail.
Sainsbury's: democratised analytics across the workforce
Sainsbury's collaboration with Microsoft (announced via Microsoft UK customer stories) is a textbook example of democratised analytics in UK retail: dashboards built into operational workflows rather than locked inside specialist BI teams. The design pattern that makes this work is consistent across sites: store-level KPI cards in the top-left, drill-through to product or category detail, slicers limited to the dimensions managers actually filter on day-to-day.
Industry reporting (Strategy.com Retail Solutions eBook) attributes around 150,000 labour hours of annual saving to Sainsbury's data and analytics democratisation programme. The design takeaway: dashboards designed around the decision (in this case, replenishment and waste decisions taken on the shop floor) outperform dashboards designed around the data.
Metro Bank: 100+ reports in production
Metro Bank runs more than 100 Power BI reports in production, tracking everything from call-centre performance to customer satisfaction metrics (Microsoft Power BI customer blog). Dashboards monitor call volumes, service levels and resolution timeframes in real time, enabling rapid response to emerging issues. At this scale the dashboard-design discipline is what stops the report estate becoming an unmanageable sprawl - consistent layout patterns, governed measure definitions and a small fixed vocabulary of visual types so users can switch between reports without re-learning each one.
Isle of Wight Council: transparent performance management
Local government has embraced Power BI for both internal performance management and public transparency. The Isle of Wight Council has developed Power BI service dashboards covering Licensing, Environmental Health and Planning, with automation and centralised metric refresh built into the council's Performance Management Framework (Isle of Wight Council, July 2023). The design discipline here is the public-facing constraint: dashboards seen by councillors and the public have to be readable without a briefing, which forces tight visual hierarchy and clear KPI framing.
Common mistakes to avoid
For every success story, there are dashboards that fail to deliver value. Understanding the common pitfalls helps you avoid them.
Building without a decision strategy tops the list. If you can't articulate what specific decision your dashboard supports, stop and answer that question first. Dashboards built around available data rather than business questions often look impressive but don't change behaviour.
Assuming Power BI fixes data quality is equally damaging. When your underlying data contains inconsistencies, your dashboards will contradict each other. Sales figures that differ between reports erode trust in the entire analytics infrastructure. Fix data quality at the source, not in the visualisation layer.
Overcomplicating your design creates cognitive overload rather than clarity. Dashboards crammed with filters, dozens of charts and every possible KPI leave users uncertain where to look. Start with one or two KPIs per page, designed around how people actually make decisions.
Publishing without an adoption strategy virtually guarantees your dashboards will be ignored. Training, promotion of successful use cases and monitoring of adoption metrics are as important as the technical build itself.
Putting it all together
These five features work together to create dashboards that genuinely serve your organisation. Interactive visuals invite exploration. Drill-through enables deep investigation. Filters let users focus on what matters to them. KPIs communicate performance at a glance. And thoughtful storytelling guides users toward the insights that drive action.
The difference between a dashboard that gets used and one that gathers dust often comes down to design decisions that seem small but compound into significant usability differences. Placing your most critical metric in the top-left corner. Limiting your KPIs to the essential few. Providing context through annotations. These choices determine whether your investment in Power BI translates into better decisions.
Want to build these skills yourself? Our Power BI Masterclass is a 2-day instructor-led course that covers the design patterns in this guide - dashboard layout, KPI design, slicer discipline, drill-through and accessibility - applied to real datasets. If you're still working out which course shape fits, the Power BI training UK buyer's guide walks through the options. Wondering whether Power BI is the right tool at all? See Power BI vs Excel and Power BI vs Tableau.
Want to design dashboards like this in 2 days? Our Power BI Masterclass is an instructor-led course covering everything in this guide - hands-on, with real datasets, for UK businesses. Get in touch if you want to discuss whether it's the right fit.
Sources
- IBISWorld - UK Business Intelligence & Analytics Software Publishing market (2026) - ibisworld.com/united-kingdom/industry/business-intelligence-analytics-software-publishing/14591
- UK Government - The UK Data-Driven Market - gov.uk/government/publications/the-uk-data-driven-market/the-uk-data-driven-market
- UK Government - Quantifying the UK Data Skills Gap (full report) - gov.uk/government/publications/quantifying-the-uk-data-skills-gap/quantifying-the-uk-data-skills-gap-full-report
- UK Government Analysis Function - Data visualisation: dashboard software guidance - analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-dashboard-software/
- W3C - WCAG 2.1 Success Criterion 1.4.3 (text contrast) - w3.org/TR/WCAG21
- Nature - Congenital colour vision deficiency prevalence (peer-reviewed) - nature.com/articles/eye2009251
- Microsoft Power BI blog - Metro Bank case (100+ reports in production) - powerbi.microsoft.com/en-us/blog/how-metro-bank-uses-power-bi-to-improve-the-uk-banking-experience/
- Microsoft UK customer stories - Sainsbury's and Microsoft collaboration - ukstories.microsoft.com/features/sainsburys-and-microsoft-collaborate-to-power-up-customer-and-colleague-experience-with-ai/
- Maidstone and Tunbridge Wells NHS Trust - Digital and Data Strategy (2024) - mtw.nhs.uk/wp-content/uploads/2024/11/Digital-and-Data-Strategy.pdf
- Isle of Wight Council - Performance Management Framework (July 2023) - iow.moderngov.co.uk/documents/s15377/12.%20Performance%20Management%20Framework%20-%20Appendix%201.pdf
- Microsoft - 2025 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms (Leader, furthest-right vision, highest execution) - community.fabric.microsoft.com/t5/Power-BI-Updates-Blog/Microsoft-named-a-Leader-in-the-2025-Gartner-Magic-Quadrant-for/ba-p/5174132
- Microsoft - Power BI product page (Copilot capabilities) - microsoft.com/en-us/power-platform/products/power-bi
- Microsoft Learn - Power BI What's New - learn.microsoft.com/en-us/power-bi/fundamentals/whats-new
- Nielsen Norman Group - F-pattern reading research (cited via UX summaries) - nngroup.com
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About the author
Ihor Havrysh
Software Engineer
Software Engineer at Red Eagle Tech with expertise in cybersecurity, Power BI, and modern software architecture. I specialise in building secure, scalable solutions and helping businesses navigate complex technical challenges with practical, actionable insights.
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