0

New workshop for Analytics teams now live!

Header Logo
Newsletter Blog Contact
Workshops
Design Principles for Analytics
Log In
← Back to all posts

We almost rebuilt the same dashboard. Again.

Apr 28, 2026
Connect

Last week, I was asked to support one of the largest insurance companies in France.

They already had a Tableau dashboard.

At first glance, it looked good.
Clean. Structured. Almost convincing.

But underneath, it was a mess.

The data preparation had been done in isolation by an apprentice.
No real visibility, no shared understanding.

He developed for 90 days and left.

The dashboard stayed.

And what was left behind was a heavy debt.
Hard to maintain. Hard to trust. Hard to evolve.

There were around ten pages. Too many filters.
Charts that looked impressive, but that no one could actually read.

Some of them had been pushed from a top manager.
Radar chart everywhere.

Undefined process. Messy data. No ownership.
Your dashboard never had a chance.
What you call a UX problem is a system problem.

They were there because someone wanted them.
Not because they helped.

We started with user interviews.

Not "what do you think of the dashboard?"
Just: what do you actually use and why?

Very quickly, things didn’t line up.

The dashboard was focused on call center performance.
But users needed to connect that to offers, digital products and sales...

Different teams. Different data. Different expectations.

The problem wasn’t the dashboard.

It was the scope from the start.

At that point, I saw the shift.

The project manager started to feel overwhelmed.
And the reflex kicked in:

"Let’s talk to more people"

Which usually means one thing= You’re about to lose control of the scope.

So we paused.

Instead of adding more, we reduced.

Three screens (Constraints force clarity.)
Not ten.

A clear flow, based on actual users.

And before rebuilding anything, I proposed three things.

- RACI.
To clarify who does what. Before and after production.

- Stakeholder mapping.
To see who’s involved, and at what level and importance.

- Content mapping.
Everything already existing around the topic.
Tableau, Business Objects, Excel, CSV, Google Sheets.

So, the goal was simple:

Understand before rebuilding.
And avoid rebuilding it a third time this year.

We were (highly) suggested to present this to the project manager’s manager...

A few hours later, I got the feedback.

The approach was appreciated.

But also described as "too direct" and "too data-driven".

I didn’t expect that.

Because what I proposed was just… concrete.

But then it made sense.

This kind of approach forces clarity.

And clarity means:

  • defining roles
  • assigning responsibility
  • making decisions visible

And in some organizations, that’s exactly what people try to avoid.

Not always consciously.
But the system adapts around it.

We’ll try to move forward with the RACI and the content mapping.

But honestly, I’m not sure yet how far it will go.

I’ll keep you updated.

Before going further, I need your input.

I’ve put together a very short poll (2 questions).

It will help me understand where things actually break in your company.

Share your biggest issue 

If something feels off in your analytics team, trust it. Something is broken.

Let’s identify where and fix it.

🇫🇷 En français :

RĂ©servez votre appel 

In English :

 Book a call with me here

Have a great week everyone!

Aurélien

Responses

Join the conversation
t("newsletters.loading")
Loading...
The moment "we’re too busy" becomes the norm, it’s already too late
*]:pointer-events-auto scroll-mt-(--header-height)" dir="auto" tabindex="-1"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1"> If your team keeps saying "we’re too busy", you’ve already lost control. People are doing their best.But without a solid system in place, they have almost no chance to succeed. An...
Data-to-Decision Leakage
*]:pointer-events-auto scroll-mt-(--header-height)" dir="auto" tabindex="-1"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1"> Most data teams track what they produce. Number of dashboards.Number of reports.Number of requests delivered. It looks like performance. It’s not. I think most organizations have no idea how much v...
I think most companies don’t really have an Analytics Operating Model. Do you?
*]:pointer-events-auto scroll-mt-(--header-height)" dir="auto" tabindex="-1"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1"> Most data team efforts never translate into actual business decisions. Not because they don’t invest.Not because they lack tools or skills. From what I see, it’s more about how everything is struct...

The Dashboard Design Brief

What you’ll get every Tuesday A series of sharp visuals that decode common mistakes in analytics and dashboard design. Fast to read. Easy to apply. Hard to forget.
Footer Logo
Privacy Policy Terms and Conditions
© 2026 Dataviz Clarity