In BI-Analytics, audience sprawl is still seen as a success.
More users.
More teams.
More personas.
More workshops.
In reality, it’s often the opposite.
When dashboards are built "for everyone" they slowly stop being useful for anyone.
The intention is usually good.
One dashboard to align everyone.
One view to avoid silos.
But what actually happens:
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Too many personas with incompatible needs
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Workshops with too many voices
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No clear consensus
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Frustration on all sides
And eventually, a dashboard that tries to say everything and says nothing clearly.
Where things break
There are cases where broad dashboards make sense:
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cross-team views
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shared KPIs
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global monitoring
But audience sprawl changes the rules.
As the audience grows:
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scope expands
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volumetry explodes
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performance drops
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time-to-market increases
And the original intent gets diluted.
What was meant to clarify becomes harder to maintain, harder to evolve and harder to trust.
Value isn’t multiplied by access.
The uncomfortable truth
Audience sprawl is often a cultural reflex.
A legacy of "we must serve everyone."
But BI doesn’t scale by addition.
It scales by intention.
Not every audience deserves a dashboard.
Not every dashboard should serve every audience.
Serving more people does not mean creating more value.
How many dashboards are you still dealing with simply because their audience is too broad?
Most common answers I hear:
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The one we’re scared to redesign.
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The executive dashboard, used by everyone except the executives.
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The one that was easier than saying no.
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The global KPI dashboard.
If you’re smiling, it’s probably all four.
Responses