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  • Data visualization
  • Dashboards
  • Forsta · Nordika

Designing dashboards for global brands

I came into data almost by accident, at Dapresy (now PG Forsta), and fell in love with tables, charts and logic. Since then I have built dashboards for DHL, Scandic, Vodafone, Sandvik and more. These are the rules I learned along the way.

Role
Data designer, UX/UI designer
Services
UX/UI design, project management
Clients
DHL, Scandic, Vodafone, Sandvik
Years
2019 — today
Nordika dashboard with NPS and satisfaction scores on a laptop
NPS donut chart: promoters, neutrals, detractors
Overall satisfaction bar chart
Dashboard for NPS per friends level
Attributes over time heatmap
Line chart dashboard on a laptop
data design at Forsta
3 yrs
audiences, three different ways to show data
3
rules for clearer charts
10

At a glance

The challenge

One dashboard can’t serve everyone: analysts, executives and the general public read data in completely different ways.

What I did

Dashboards and data stories for global brands at Forsta and Nordika, designed per audience: exploration for analysts, summaries for C-level, infographics for the public.

Outcome

A way of working I use on every data project, and ten practical rules that make any chart clearer.

01 · Overview

From design into data

I’ve always loved designing, but I never thought I would end up designing data. I’m a self-taught designer who came into the world of data at Dapresy, now Forsta Visualization. At first it was demanding, but I fell in love with the tables, the charts and the logic.

That opened the door to dashboards for global brands like DHL, Scandic, Vodafone and Sandvik. Below are the rules, tips and tricks I learned designing data for them.

02 · Audiences

Different audiences, different needs

The biggest mistake in data visualization is assuming one perfect dashboard works for everyone. It doesn’t. The same rules you use in UX design apply here: a visual that helps an analyst uncover patterns will overwhelm a CEO, and a chart simple enough for the public feels like kindergarten to someone who works with data all day.

Dashboard showing NPS per friends level
  • AnalystsWant the full story

    They slice, filter, compare and drill down. Give them interactive dashboards, lots of metrics, precise numbers and tools to explore on their own. Don’t over-simplify.

  • C-levelHave 10–20 seconds

    Busy, impatient, decision-focused. Clear summaries and big takeaways: what changed, why it happened, and what we should do about it. No walls of charts.

  • General publicNeed clarity first

    If a chart needs education to read, it’s already failing. Simple visual explanations, icons, short text and a clear story: this is where infographics shine.

Pro tip: research a topic everyone cares about, for example designer salaries by location, industry and role, and use that data to showcase your skills.

03 · Formats

Dashboards, storytelling or infographics?

  • DashboardsData for people who want to dig in

    For monitoring things regularly: performance, sales, CX results, brand tracking. Built for exploring, not convincing.

  • StorytellingExplaining what happened

    Guide someone through the data and point out what matters. Perfect for presentations, reports and research summaries, where the “why” matters more than the raw numbers.

  • InfographicsMake it easy

    For audiences who don’t want deep analysis. They just want to understand the message quickly.

Examples of dashboards, data stories and infographics

04 · Tips

10 simple tips that instantly improve your visualizations

These come from experience, mistakes and a lot of trial and error. One thing always proves true: simplicity wins.

  • Start with the question you’re answering. Charts without a purpose become decoration.
  • Remove anything that doesn’t help the story. Less noise, clearer message.
  • Use color with intention. Color isn’t decoration, it’s meaning.
  • Choose the simplest chart that works. A bar chart beats fancy experimental charts 99% of the time.
  • Make the most important thing the most visible. Your eyes should know where to look first.
  • Label what matters, not everything. Over-labeling kills clarity.
  • Avoid 3D charts. Seriously, just don’t. They distort everything.
  • Annotate key moments. A small note saves the viewer from guessing.
  • Keep your scales honest. No manipulating axes to make results look dramatic.
  • Test your chart on someone who didn’t make it. If they’re confused, your audience will be too.
NPS donut chart
Overall satisfaction bar chart
Attributes over time heatmap

05 · Outcome

Data visualization is storytelling

You wouldn’t tell the same story the same way to a child, a friend and your boss, and you shouldn’t show the same data to every audience the same way. Know who you’re talking to and the right visual style becomes easy. Combine that with simple, thoughtful design, and your charts stop being charts: they become something people understand and remember.

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