The Dashboard Fallacy: Why We’ve Been Building the Wrong Thing

March 25, 20263 min read

The Dashboard Fallacy: Why We’ve Been Building the Wrong Thing

At a recent table talk at ProveIt, a deceptively simple question sparked one of the most useful conversations I’ve heard in a long time:

How do we build dashboards that actually have value?

What followed was predictable — and revealing.


The Usual Answers (That Don’t Work)

The room quickly split into familiar camps:

  • Should dashboards be role-based?

  • Should there be one common dashboard for everyone?

  • Should we let operators build their own views?

Each idea had merit. Each came with complexity.

Then someone proposed what sounded like the logical solution:

“Operators just need training.”

And for a moment, that felt like the answer.

Until it wasn’t.


The Question That Broke the Pattern

Someone asked:

“How many of you downloaded the conference app?”

Almost every hand went up.

Then:

“Did anyone get training on it?”

No hands.

That’s when the real insight landed:

If something requires training, it’s already failed the test.

The best systems don’t require onboarding.
They explain themselves.


The Shift: From Designing → Discovering

Then the conversation took a turn.

Someone suggested:

“What if we just put a chatbot in front of the dashboard?”

Instead of designing dashboards upfront:

  • Operators ask for what they need

  • The system renders it instantly

  • Every interaction is captured

And here’s the unlock:

The chatbot history becomes the blueprint.

Not assumptions.
Not stakeholder opinions.
Not endless meetings.

Actual demand.

That’s when the room went quiet — the kind of quiet that signals a shift.


The Real Problem We’ve Been Solving

We’ve been asking:

“What should we build?”

That’s the wrong question.

The better question is:

“What are people already asking for?”

Because every dashboard today is essentially a guess:

  • A guess at what matters

  • A guess at how people think

  • A guess at what decisions they’re trying to make

And guesses don’t scale.


What This Means (Beyond Dashboards)

This isn’t just about dashboards.

This is about how we build anything:

  • Products

  • Platforms

  • Content

  • Even entire businesses

Most people try to design value.

The smarter move is to observe demand.

This reveals a deeper principle:
The best systems aren’t designed from assumptions — they’re shaped by real user demand.

If you listen closely enough, your users will tell you exactly what to build.


The New Model: Demand-Led Design

Here’s the shift in practical terms:

Old Model:

  • Define requirements

  • Design dashboards

  • Train users

  • Iterate slowly

New Model:

  • Capture questions

  • Identify patterns

  • Build from real usage

  • Let the system evolve

This is not just more efficient.

It’s more accurate.


Where This Is Going

The future of dashboards won’t be static.

They will be:

  • Dynamic— generated on demand

  • Personalized— based on actual behavior

  • Self-evolving— shaped by usage patterns

And most importantly:

They won’t be designed first.

They’ll be discovered.


The Strategic Insight (For You)

If you’re building anything — dashboards, content, offers — here’s the takeaway:

Stop asking:

  • “What should I create?”

Start asking:

  • “What is my audience already trying to see, solve, or understand?”

That’s where leverage lives.

https://www.linkedin.com/posts/rickykwokshingsun_proveit-proveit2026-dashboards-activity-7432088179337359360-1ZG8?utm_source=share&utm_medium=member_desktop&rcm=ACoAAA-EXgYBnbnWXee4O7r8oubyI7D5gid3Op8

Ricky Sun is the founder of SunLead Technologies, an industrial data infrastructure engineering firm based in Calgary, Canada. He specializes in modernizing operational data systems for energy companies, with deep expertise in industrial historian platforms including AVEVA PI System, Canary Historian, and modern time-series architectures.
Ricky’s work focuses on PI System migrations, Asset Framework (AF) restructuring, and historian modernization executed inside live production environments. He works closely with system integrators and energy operators to stabilize industrial data infrastructure, improve operational visibility, and prepare operational data for advanced analytics and AI.
Through technical content, industry collaboration, and conferences, Ricky actively contributes to the industrial data and Industry 4.0 community, helping organizations build reliable data foundations for digital operations.

Ricky Sun

Ricky Sun is the founder of SunLead Technologies, an industrial data infrastructure engineering firm based in Calgary, Canada. He specializes in modernizing operational data systems for energy companies, with deep expertise in industrial historian platforms including AVEVA PI System, Canary Historian, and modern time-series architectures. Ricky’s work focuses on PI System migrations, Asset Framework (AF) restructuring, and historian modernization executed inside live production environments. He works closely with system integrators and energy operators to stabilize industrial data infrastructure, improve operational visibility, and prepare operational data for advanced analytics and AI. Through technical content, industry collaboration, and conferences, Ricky actively contributes to the industrial data and Industry 4.0 community, helping organizations build reliable data foundations for digital operations.

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